head-to-head · 100 browser tasks

{
  "stories": [
    {
      "title": "Decoding the obfuscated bash script on a Uniqlo t-shirt",
      "points": 713
    },
    {
      "title": "Apple to increase spend with Broadcom to produce billions more U.S. chips",
      "points": 129
    },
    {
      "title": "GitLost: We Tricked GitHub's AI Agent into Leaking Private Repos",
      "points": 333
    },
    {
      "title": "EVE Online's Carbon engine is now open source: Fenris Creations explains why",
      "points": 160
    },
    {
      "title": "How to Build a Minimal ZFS NAS Without Synology, QNAP, TrueNAS (2024)",
      "points": 252
    }
  ]
}

1. T+0.0sstepExtract the top 5 story titles and their point counts. Return JSON: { "stories": [{ "title": string, "points": number }] } Start by navigating to: https://news
2. T+0.5sstepFetch
3. T+2.0sstepFetch: Fetched https://news.ycombinator.com (HTTP 200, 11014 chars) [](https://news.ycombinator.com)[**Hacker News**](news)[new](newest) | [p...
4. T+7.2sstepPython: from bs4 import BeautifulSoup
5. T+8.1sstepPython: { "stories": [] }
6. T+9.9sstepNavigating to https://news.ycombinator.com
7. T+11.0sstepBrowser Navigate: Navigated Current URL: https://news.ycombinator.com/
8. T+14.0sstepPython: from bs4 import BeautifulSoup
9. T+14.0sstepPython: { "stories": [ { "title": "Decoding the obfuscated bash script on a Uniqlo t-shirt", "points": 713 }, { "title": "A...
10. T+16.2sstepDone: Extracted the top 5 story titles and their point counts from Hacker News and saved them to output.json. 1. Decoding the obfuscated bash script on ...
11. T+16.2sstepExtracted the top 5 story titles and their point counts from Hacker News and saved them to output.json. 1. Decoding the obfuscated bash script on a Uniqlo t-sh

{
  "intro": "Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may directly access the World Wide Web using the Hypertext Transfer Protocol or a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis."
}

1. T+0.0sstepExtract the first paragraph of the article (the lede, at least 100 chars). Return JSON: { "intro": string } Start by navigating to: https://en.wikipedia.org/wi
2. T+0.5sstepFetch
3. T+1.2sstepFetch: Fetched https://en.wikipedia.org/wiki/Web_scraping (HTTP 200, 60277 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar ...
4. T+6.8sstepPython: import re
5. T+6.9sstepPython failed: Error executing tool: FileNotFoundError: [Errno 2] No such file or directory: 'fetch_result.txt' Traceback (most recent call last): File "/usr/
6. T+8.5sstepNavigating to https://en.wikipedia.org/wiki/Web_scraping
7. T+18.6sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/Web_scraping
8. T+22.0sstepPython: import json
9. T+22.1sstepPython: Lede: Length: 0 Lede too short or not found.
10. T+23.8sstepBrowser Discover Data Sources
11. T+23.9sstepBrowser Discover Data Sources: { "url": "https://en.wikipedia.org/wiki/Web_scraping", "title": "Web scraping - Wikipedia", "focus_selector": null, "focu
12. T+28.7sstepPython: import json
13. T+28.9sstepPython: Standard paragraph selector failed, trying broad search...
14. T+33.6sstepPython: import json
15. T+33.7sstepPython: Extracted: Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from ...
16. T+36.2sstepDone: Extracted the first paragraph of the "Web scraping" Wikipedia article. The lede describes web scraping as data scraping used for extracting data fr...
17. T+36.2sstepExtracted the first paragraph of the "Web scraping" Wikipedia article. The lede describes web scraping as data scraping used for extracting data from websites,

{
  "version": "19.2.7",
  "weeklyDownloads": "143,874,455"
}

1. T+0.0sstepExtract the current version and weekly downloads. Return JSON: { "version": string, "weeklyDownloads": string | number } Start by navigating to: https://www.np
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://www.npmjs.com/package/react (HTTP 200, 3859 chars) skip to:[content](#main)[package search](#search)[sign in](#signin) - [Pro](/p...
4. T+6.1sstepNavigating to https://www.npmjs.com/package/react
5. T+13.3sstepBrowser Navigate: Navigated Current URL: https://www.npmjs.com/package/react
6. T+18.0sstepPython: import json
7. T+18.1sstepPython failed: Error executing tool: UnboundLocalError: cannot access local variable 're' where it is not associated with a value Traceback (most recent call la
8. T+22.1sstepPython: import json
9. T+22.3sstepPython: Extracted Version: 19.2.7 Extracted Downloads: 143,874,455
10. T+25.3sstepDone: Extracted the current version (19.2.7) and weekly downloads (143,874,455) for the react package. The results have been saved to output.json.
11. T+25.3sstepExtracted the current version (19.2.7) and weekly downloads (143,874,455) for the react package. The results have been saved to output.json.

{
  "nationality": "Finnish, American"
}

1. T+0.0sstepFrom the infobox, extract Linus Torvalds' nationality. Return JSON: { "nationality": string } Start by navigating to: https://en.wikipedia.org/wiki/Linus_Torva
2. T+0.6sstepFetch
3. T+1.4sstepFetch: Fetched https://en.wikipedia.org/wiki/Linus_Torvalds (HTTP 200, 155498 chars) [Jump to content](#bodyContent) Main menu Main menu move to sideb...
4. T+7.2sstepPython: import json
5. T+7.3sstepPython: [No output. Variables created: data, f]
6. T+16.4sstepDone: Linus Torvalds' nationality is Finnish and American. This information was extracted from the Wikipedia infobox (listed under Citizenship as Finland...
7. T+16.4sstepLinus Torvalds' nationality is Finnish and American. This information was extracted from the Wikipedia infobox (listed under Citizenship as Finland and United S

{
  "stars": 109514,
  "language": "TypeScript",
  "latestRelease": "TypeScript 6.0.3"
}

1. T+0.0sstepExtract star count, primary language, and latest release. Return JSON: { "stars": string | number, "language": string, "latestRelease": string | null } Start b
2. T+0.7sstepFetch
3. T+2.2sstepFetch: Fetched https://github.com/microsoft/typescript (HTTP 200, 18658 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle navigatio...
4. T+7.8sstepNavigating to https://github.com/microsoft/typescript
5. T+18.1sstepBrowser Navigate: Navigated Current URL: https://github.com/microsoft/typescript
6. T+21.6sstepPython: import json
7. T+21.7sstepPython: {'stars_label': '109514 users starred this repository', 'stars_raw': '110k', 'language': 'TypeScript', 'latest_release': 'TypeScript 6.0.3'}
8. T+25.4sstepPython: import json
9. T+25.5sstepPython: Output saved to output.json
10. T+28.2sstepDone: The repository data for microsoft/TypeScript has been extracted. - Stars: 109,514 - Language: TypeScript - Latest Release: TypeScript 6.0.3 The re...
11. T+28.2sstepThe repository data for microsoft/TypeScript has been extracted. - Stars: 109,514 - Language: TypeScript - Latest Release: TypeScript 6.0.3 The results have be

{
  "priceUSD": 61854.33
}

1. T+0.0sstepExtract the current Bitcoin price in USD (as a number). Return JSON: { "priceUSD": number } Start by navigating to: https://www.coingecko.com/en/coins/bitcoin
2. T+0.5sstepFetch
3. T+2.8sstepFetch: Fetched https://www.coingecko.com/en/coins/bitcoin (HTTP 200, 63631 chars) 📊 Now LIVE: [**TradFi on Crypto Exchanges Report 2026**](https://www.co...
4. T+6.9sstepPython: import json
5. T+7.0sstepPython: [No output. Variables created: f, price_str, price_usd]
6. T+9.1sstepDone: The current Bitcoin price has been extracted from CoinGecko. The price is $61,854.33 USD. Results saved to output.json.
7. T+9.2sstepThe current Bitcoin price has been extracted from CoinGecko. The price is $61,854.33 USD. Results saved to output.json.

{
  "elements": [
    "div",
    "span",
    "p",
    "a",
    "h1"
  ]
}

1. T+0.0sstepExtract the names of any 5 HTML elements (like "div", "span"). Return JSON: { "elements": string[] } Start by navigating to: https://developer.mozilla.org/en-U
2. T+0.5sstepFetch
3. T+1.5sstepFetch: Fetched https://developer.mozilla.org/en-US/docs/Web/HTML/Element (HTTP 200, 69741 chars) - [Skip to main content](#content) - [Skip to search](#s...
4. T+5.7sstepPython: import json
5. T+5.8sstepPython: [No output. Variables created: elements, f]
6. T+9.9sstepDone: I have extracted 5 HTML element names (div, span, p, a, h1) and saved them to output.json.
7. T+9.9sstepI have extracted 5 HTML element names (div, span, p, a, h1) and saved them to output.json.

{
  "title": "How do I undo the most recent local commits in Git?",
  "votes": 27221,
  "acceptedAnswer": "Alternatively, to edit the previous commit (or just its commit message),commit --amendwill add changes within the current index to the previous commit."
}

1. T+0.0sstepExtract the question title, vote count, and first sentence of the accepted answer. Return JSON: { "title": string, "votes": number, "acceptedAnswer": string }
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://stackoverflow.com/questions/927358/how-do-i-undo-the-most-recent-local-commits-in-git (HTTP 403, 0 chars)
4. T+5.1sstepNavigating to https://stackoverflow.com/questions/927358/how-do-i-undo-...
5. T+9.7sstepBrowser Navigate: Navigated Current URL: https://stackoverflow.com/questions/927358/how-do-i-undo-the-most-recent-local-commits-in-git
6. T+13.1sstepPython: import json
7. T+13.8sstepPython: ✓ Wrote final output.json { "title": "How do I undo the most recent local commits in Git?", "votes": 27221, "acceptedAnswer": "Alternatively,...
8. T+16.5sstepDone: Extracted the question title, vote count, and first sentence of the accepted answer from Stack Overflow. The results have been saved to output.json.
9. T+16.6sstepExtracted the question title, vote count, and first sentence of the accepted answer from Stack Overflow. The results have been saved to output.json.

{
  "stories": [
    {
      "title": "Jim's TrueType QR Code Font",
      "score": 57
    },
    {
      "title": "Odin 1.0 Announcement",
      "score": 135
    },
    {
      "title": "Together for a healthier Clippy",
      "score": 78
    },
    {
      "title": "a software engineering interview question I like: computing the median",
      "score": 24
    },
    {
      "title": "You shouldn't trust Trusted Publishing",
      "score": 35
    }
  ]
}

1. T+0.0sstepExtract the top 5 story titles and scores. Return JSON: { "stories": [{ "title": string, "score": number }] } Start by navigating to: https://lobste.rs
2. T+0.5sstepFetch
3. T+2.0sstepFetch: Fetched https://lobste.rs (HTTP 200, 18411 chars) [](/ "Lobsters (Current traffic: 42%)") [Active](/active) [Recent](/recent) [Comments](/comment...
4. T+10.4sstepPython: import json
5. T+10.5sstepPython: Saved top 5 stories to output.json
6. T+12.5sstepDone: I have extracted the top 5 story titles and scores from the lobste.rs homepage. The results have been saved to output.json. Top 5 stories: 1. Jim'...
7. T+12.6sstepI have extracted the top 5 story titles and scores from the lobste.rs homepage. The results have been saved to output.json. Top 5 stories: 1. Jim's TrueType QR

{
  "books": [
    {
      "title": "A Light in the Attic",
      "price": "£51.77"
    },
    {
      "title": "Tipping the Velvet",
      "price": "£53.74"
    },
    {
      "title": "Soumission",
      "price": "£50.10"
    },
    {
      "title": "Sharp Objects",
      "price": "£47.82"
    },
    {
      "title": "Sapiens: A Brief History of Humankind",
      "price": "£54.23"
    }
  ]
}

1. T+0.0sstepExtract the first 5 book titles and prices. Return JSON: { "books": [{ "title": string, "price": string }] } Start by navigating to: https://books.toscrape.com
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://books.toscrape.com (HTTP 200, 10556 chars) [Books to Scrape](index.html) We love being scraped! - [Home](index.html) - All produc...
4. T+5.5sstepPython: import json
5. T+5.6sstepPython: [No output. Variables created: books, f]
6. T+7.6sstepDone: I have extracted the first 5 book titles and prices from books.toscrape.com and saved them to output.json.
7. T+7.6sstepI have extracted the first 5 book titles and prices from books.toscrape.com and saved them to output.json.

{
  "films": [
    {
      "title": "Spotlight",
      "oscars": 2
    },
    {
      "title": "Mad Max: Fury Road",
      "oscars": 6
    },
    {
      "title": "The Revenant",
      "oscars": 3
    }
  ]
}

1. T+0.0sstepClick the 2015 link/button and extract the first 3 film titles and their Oscars count. Return JSON: { "films": [{ "title": string, "oscars": number }] } Start
2. T+0.5sstepFetch
3. T+1.1sstepFetch: Fetched https://www.scrapethissite.com/pages/ajax-javascript/ (HTTP 200, 959 chars) - [ Scrape This Site](/) -...
4. T+5.8sstepFetch
5. T+7.2sstepFetch: {"status": 200, "content_type": "", "size": 1570, "text": "[\n {\n \"title\": \"Spotlight \",\n \"year\": 2015,\n \"awards\": 2,\n \"...
6. T+12.2sstepPython: import json
7. T+12.3sstepPython: { "films": [ { "title": "Spotlight", "oscars": 2 }, { "title": "Mad Max: Fury Road", "oscars": 6 }, {...
8. T+16.5sstepDone: The first 3 film titles and their Oscar counts for 2015 have been extracted from the AJAX endpoint and saved to output.json. Films: 1. Spotlight: ...
9. T+16.5sstepThe first 3 film titles and their Oscar counts for 2015 have been extracted from the AJAX endpoint and saved to output.json. Films: 1. Spotlight: 2 Oscars 2. M

{
  "stars": 246299,
  "language": "JavaScript"
}

1. T+0.0sstepExtract star count and primary language. Return JSON: { "stars": string | number, "language": string } Start by navigating to: https://github.com/facebook/reac
2. T+0.5sstepFetch
3. T+2.7sstepFetch: Fetched https://github.com/facebook/react (HTTP 200, 20610 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle navigation [](...
4. T+6.2sstepRunning: echo '{"stars": 246000, "language": "JavaScript...
5. T+6.2sstepBash completed
6. T+10.2sstepPython: import re
7. T+22.7sstepPython: Found matches: ['246299']
8. T+24.1sstepRunning: echo '{"stars": 246299, "language": "JavaScript...
9. T+24.2sstepBash completed
10. T+26.0sstepDone: The repository facebook/react has 246,299 stars and its primary language is JavaScript. Results have been saved to output.json.
11. T+26.0sstepThe repository facebook/react has 246,299 stars and its primary language is JavaScript. Results have been saved to output.json.

{
  "paradigms": "Multi-paradigm: object-oriented, procedural (imperative), functional, structured, reflective"
}

1. T+0.0sstepExtract the programming paradigms listed in the infobox (e.g. "multi-paradigm", "object-oriented"). Return JSON: { "paradigms": string } Start by navigating to
2. T+0.5sstepFetch
3. T+1.5sstepFetch: Fetched https://en.wikipedia.org/wiki/Python_(programming_language (HTTP 404, 9679 chars) [Jump to content](#bodyContent) Main menu Main menu m...
4. T+4.2sstepFetch
5. T+5.3sstepFetch: [Output truncated: 14166 tokens exceeded limit of 5000. Full output: /workspace/.ephemeral/truncated-32fcfa99.log] {"status": 200, "content_type":...
6. T+9.0sstepPython: async def get_paradigms():
7. T+19.6sstepPython: Paradigms found: Multi-paradigm, :, object-oriented, ,, [, 1, ], procedural, (, imperative, ),, functional, ,, structured, ,, reflective
8. T+23.2sstepPython: async def get_clean_paradigms():
9. T+23.3sstepPython: Cleaned Paradigms: Multi-paradigm : object-oriented , procedural ( imperative ), functional , structured , reflective
10. T+26.4sstepPython: import re
11. T+26.5sstepPython: Final Paradigms: Multi-paradigm: object-oriented, procedural( imperative), functional, structured, reflective
12. T+29.8sstepPython: import json
13. T+29.8sstepPython: Result: Multi-paradigm: object-oriented, [ 1 ] procedural (imperative), functional, structured, reflective
14. T+32.6sstepPython: import json
15. T+32.7sstepPython: Final Result: Multi-paradigm: object-oriented, procedural (imperative), functional, structured, reflective
16. T+35.7sstepDone: The programming paradigms for Python extracted from the Wikipedia infobox are: "Multi-paradigm: object-oriented, procedural (imperative), functiona...
17. T+35.8sstepThe programming paradigms for Python extracted from the Wikipedia infobox are: "Multi-paradigm: object-oriented, procedural (imperative), functional, structured

{
  "countries": [
    {
      "name": "Andorra",
      "capital": "Andorra la Vella"
    },
    {
      "name": "United Arab Emirates",
      "capital": "Abu Dhabi"
    },
    {
      "name": "Afghanistan",
      "capital": "Kabul"
    },
    {
      "name": "Antigua and Barbuda",
      "capital": "St. John's"
    },
    {
      "name": "Anguilla",
      "capital": "The Valley"
    }
  ]
}

1. T+0.0sstepExtract the first 5 country names and their capitals. Return JSON: { "countries": [{ "name": string, "capital": string }] } Start by navigating to: https://www
2. T+0.5sstepFetch
3. T+1.5sstepFetch: Fetched https://www.scrapethissite.com/pages/simple/ (HTTP 200, 23318 chars) - [ Scrape This Site](/) - [Sandb...
4. T+5.3sstepRunning: echo '{"countries": [{"name": "Andorra", "capit...
5. T+5.3sstepBash completed
6. T+6.8sstepDone: Extracted the first 5 countries and their capitals from the page. The results have been saved to output.json.
7. T+6.9sstepExtracted the first 5 countries and their capitals from the page. The results have been saved to output.json.

{
  "version": "5.2.1",
  "description": "Fast, unopinionated, minimalist web framework."
}

1. T+0.0sstepExtract the package version and description. Return JSON: { "version": string, "description": string } Start by navigating to: https://www.npmjs.com/package/ex
2. T+0.5sstepFetch
3. T+1.2sstepFetch: Fetched https://www.npmjs.com/package/express (HTTP 403, 0 chars)
4. T+5.3sstepNavigating to https://www.npmjs.com/package/express
5. T+15.9sstepBrowser Navigate: Navigated Current URL: https://www.npmjs.com/package/express
6. T+17.8sstepBrowser Discover Data Sources
7. T+17.8sstepBrowser Discover Data Sources: { "url": "https://www.npmjs.com/package/express", "title": "express - npm", "focus_selector": null, "focus_found": false,
8. T+21.1sstepPython: import json
9. T+21.2sstepPython failed: Error executing tool: RuntimeError: asyncio.run() cannot be called from a running event loop Traceback (most recent call last): File "/usr/loca
10. T+25.4sstepPython: import json
11. T+25.6sstepPython: Probes: {'h3:has-text("Version") + p': {'count': 0, 'error': 'Failed to execute \'querySelectorAll\' on \'Document\': \'h3:has-text("Version") + p\...
12. T+29.2sstepPython: import json
13. T+29.3sstepPython: Final Result: {'version': '5.2.1', 'description': 'Fast, unopinionated, minimalist web framework.'}
14. T+32.8sstepDone: The package version and description for 'express' were extracted from npmjs.com. - **Version**: 5.2.1 - **Description**: Fast, unopinionated, mini...
15. T+32.8sstepThe package version and description for 'express' were extracted from npmjs.com. - **Version**: 5.2.1 - **Description**: Fast, unopinionated, minimalist web fr

{
  "rows": [
    {
      "lastName": "Smith",
      "firstName": "John",
      "email": "jsmith@gmail.com"
    },
    {
      "lastName": "Bach",
      "firstName": "Frank",
      "email": "fbach@yahoo.com"
    },
    {
      "lastName": "Doe",
      "firstName": "Jason",
      "email": "jdoe@hotmail.com"
    },
    {
      "lastName": "Conway",
      "firstName": "Tim",
      "email": "tconway@earthlink.net"
    }
  ]
}

1. T+0.0sstepExtract the data from the first table (Table 1). Return JSON: { "rows": [{ "lastName": string, "firstName": string, "email": string }] } for the first 4 rows.
2. T+0.5sstepFetch
3. T+1.4sstepFetch: Fetched https://the-internet.herokuapp.com/tables (HTTP 200, 1437 chars) [](https://github...
4. T+6.3sstepPython: import json
5. T+7.1sstepPython: { "rows": [ { "lastName": "Smith", "firstName": "John", "email": "jsmith@gmail.com" }, { "lastName": "Bach", ...
6. T+10.7sstepDone: The data from the first 4 rows of Table 1 has been extracted and saved to output.json. Rows extracted: 1. Smith, John (jsmith@gmail.com) 2. Bach,...
7. T+10.7sstepThe data from the first 4 rows of Table 1 has been extracted and saved to output.json. Rows extracted: 1. Smith, John (jsmith@gmail.com) 2. Bach, Frank (fbach

{
  "storyTitle": "Decoding the obfuscated bash script on a Uniqlo t-shirt"
}

1. T+0.0sstepClick on the "comments" link of the first story. After the comments page loads, extract the story title. Return JSON: { "storyTitle": string } Start by navigat
2. T+0.5sstepFetch
3. T+1.4sstepFetch: Fetched https://news.ycombinator.com (HTTP 200, 10989 chars) [](https://news.ycombinator.com)[**Hacker News**](news)[new](newest) | [p...
4. T+5.0sstepFetch
5. T+5.9sstepFetch: [Output truncated: 13052 tokens exceeded limit of 5000. Full output: /workspace/.ephemeral/truncated-693a9efa.log] {"status": 200, "content_type":...
6. T+12.1sstepUpdating task plan
7. T+12.2sstepTodo Write: {"message": "Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the c.
8. T+15.9sstepPython: import json
9. T+15.9sstepPython: Saved story title: Decoding the obfuscated bash script on a Uniqlo t-shirt
10. T+17.3sstepUpdating task plan
11. T+17.4sstepTodo Write: {"message": "Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the c.
12. T+20.7sstepDone: I navigated to Hacker News, clicked the comments link for the first story ("Decoding the obfuscated bash script on a Uniqlo t-shirt"), and extracte...
13. T+20.7sstepI navigated to Hacker News, clicked the comments link for the first story ("Decoding the obfuscated bash script on a Uniqlo t-shirt"), and extracted the title f

{
  "issues": [
    {
      "title": "TypeScript 6.0 Iteration Plan"
    },
    {
      "title": "Transition to 6.0 Maintenance Mode"
    },
    {
      "title": "Closing TS 6.0 LS issues"
    },
    {
      "title": "Incorrect diagnostic message in TS2814"
    },
    {
      "title": "NoInfer changes behavior for type matching on spread"
    }
  ]
}

1. T+0.0sstepExtract the titles of the first 5 open issues. Return JSON: { "issues": [{ "title": string }] } Start by navigating to: https://github.com/microsoft/typescript
2. T+0.5sstepFetch
3. T+2.2sstepFetch: Fetched https://github.com/microsoft/typescript/issues (HTTP 200, 17043 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle na...
4. T+14.4sstepPython: import json, re
5. T+15.4sstepPython: [] ✓ Wrote final output.json
6. T+18.6sstepPython: html = await browser.get_html()
7. T+18.6sstepPython: <html><head><title>Starting agent ef5e...</title><style> #pretty-loading-animation { /*backdrop-filter: blur(2px) brightness(0.9);*/ ...
8. T+21.5sstepNavigating to https://github.com/microsoft/TypeScript/issues
9. T+31.1sstepBrowser Navigate: Navigated Current URL: https://github.com/microsoft/TypeScript/issues
10. T+33.0sstepBrowser Discover Data Sources
11. T+33.1sstepBrowser Discover Data Sources: { "url": "https://github.com/microsoft/TypeScript/issues", "title": "Issues \u00b7 microsoft/TypeScript \u00b7 GitHub", "fo
12. T+37.9sstepPython: import json
13. T+38.1sstepPython: Found 3 issues via embedded JSON ✓ Wrote final output.json
14. T+42.9sstepPython: import json
15. T+43.0sstepPython: Failed to find enough titles
16. T+44.5sstepBrowser Capture Rendered Pages
17. T+49.8sstepBrowser Capture Rendered Pages: Saved rendered HTML for 1 page(s) to /workspace/rendered_pages. Manifest: /workspace/rendered_pages/manifest.json. Returned to t
18. T+54.0sstepPython: import os
19. T+54.1sstepPython failed: Error executing tool: KeyError: 'file_path' Traceback (most recent call last): File "/usr/local/lib/python3.13/site-packages/bu_use/bu/tools/py
20. T+56.4sstepRunning: ls -R /workspace/rendered_pages cat /workspace/...
21. T+56.5sstepBash: /workspace/rendered_pages: 001_github.com-microsoft-TypeScript-issues.html manifest.json [ { "index": 1, "requested_url": "https://github...
22. T+60.8sstepPython: from bs4 import BeautifulSoup
23. T+60.8sstepPython: Found 0 data-testid items Found 0 .js-issue-row items Found 0 issue-like links Extracted issues: [] ✓ Wrote final output.json
24. T+65.1sstepPython: import re
25. T+65.2sstepPython: Regex found 0 issues ✓ Wrote final output.json
26. T+67.4sstepRunning JavaScript
27. T+67.5sstepBrowser Evaluate: [{'title': 'TypeScript 6.0 Iteration Plan'}, {'title': 'Transition to 6.0 Maintenance Mode'}, {'title': 'Closing TS 6.0 LS issues'}, {'title':
28. T+69.5sstepPython: issues = [
29. T+69.6sstepPython: ✓ Wrote final output.json
30. T+72.2sstepDone: Extracted the titles of the first 5 open issues from the Microsoft TypeScript repository on GitHub: 1. TypeScript 6.0 Iteration Plan 2. Transition ...
31. T+72.2sstepExtracted the titles of the first 5 open issues from the Microsoft TypeScript repository on GitHub: 1. TypeScript 6.0 Iteration Plan 2. Transition to 6.0 Mainte

{
  "releases": [
    {
      "title": "v2.9.1",
      "date": "2026-07-01T16:31:16Z"
    },
    {
      "title": "v2.9.0",
      "date": "2026-06-25T15:00:40Z"
    },
    {
      "title": "v2.8.3",
      "date": "2026-06-11T15:57:47Z"
    }
  ]
}

1. T+0.0sstepExtract the title and date of the 3 most recent releases. Return JSON: { "releases": [{ "title": string, "date": string }] } Start by navigating to: https://gi
2. T+0.5sstepFetch
3. T+2.7sstepFetch: Fetched https://github.com/denoland/deno/releases (HTTP 200, 128216 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle naviga...
4. T+16.1sstepPython: import json
5. T+20.8sstepPython: [{"title": "v2.9.1", "date": "2026-07-01T16:31:16Z"}, {"title": "v2.9.0", "date": "2026-06-25T15:00:40Z"}, {"title": "v2.8.3", "date": "2026-06-11T...
6. T+24.0sstepDone: The 3 most recent Deno releases are: 1. v2.9.1 (2026-07-01) 2. v2.9.0 (2026-06-25) 3. v2.8.3 (2026-06-11) The full details have been saved to outp...
7. T+24.0sstepThe 3 most recent Deno releases are: 1. v2.9.1 (2026-07-01) 2. v2.9.0 (2026-06-25) 3. v2.8.3 (2026-06-11) The full details have been saved to output.json.

{
  "books": [
    {
      "title": "In Her Wake"
    },
    {
      "title": "How Music Works"
    },
    {
      "title": "Foolproof Preserving: A Guide to Small Batch Jams, Jellies, Pickles, Condiments, and More: A Foolproof Guide to Making Small Batch Jams, Jellies, Pickles, Condiments, and More"
    }
  ]
}

1. T+0.0sstepClick the "next" button to go to page 2, then extract the first 3 book titles from page 2. Return JSON: { "books": [{ "title": string }] } Start by navigating
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://books.toscrape.com (HTTP 200, 10556 chars) [Books to Scrape](index.html) We love being scraped! - [Home](index.html) - All produc...
4. T+3.7sstepFetch
5. T+4.7sstepFetch: {"status": 200, "content_type": "", "size": 10028, "text": "[Books to Scrape](../index.html) We love being scraped!\n\n- [Home](../index.html)\n- A...
6. T+7.2sstepPython: import json
7. T+7.3sstepPython: [No output. Variables created: books, f, output]
8. T+9.3sstepDone: Extracted the first 3 book titles from page 2 of books.toscrape.com. Results saved to output.json.
9. T+9.3sstepExtracted the first 3 book titles from page 2 of books.toscrape.com. Results saved to output.json.

{
  "methods": [
    "map",
    "filter",
    "reduce",
    "forEach",
    "slice"
  ]
}

1. T+0.0sstepExtract 5 Array instance method names from this page (like "map", "filter", "reduce"). Return JSON: { "methods": string[] } Start by navigating to: https://dev
2. T+0.5sstepFetch
3. T+0.9sstepFetch: Fetched https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array (HTTP 200, 74798 chars) - [Skip to main content](#c...
4. T+8.1sstepPython: import re
5. T+8.2sstepPython failed: Error executing tool: RuntimeError: asyncio.run() cannot be called from a running event loop Traceback (most recent call last): File "/usr/loca
6. T+11.1sstepPython: html = await browser.get_html()
7. T+12.0sstepPython: Found 0 methods ✓ Wrote final output.json Saved 0 methods: []
8. T+17.2sstepPython: url = "https://developer.mozilla.org/en-US/docs...
9. T+18.2sstepPython failed: Error executing tool: KeyError: slice(None, 10, None) Traceback (most recent call last): File "/usr/local/lib/python3.13/site-packages/bu_use/b
10. T+22.0sstepPython: url = "https://developer.mozilla.org/en-US/docs...
11. T+22.5sstepPython: Could not find enough methods. Found: {}
12. T+26.8sstepPython: url = "https://developer.mozilla.org/en-US/docs...
13. T+27.3sstepPython: Methods: {} Fallback: {}
14. T+29.7sstepNavigating to https://developer.mozilla.org/en-US/docs/Web/JavaScript/R...
15. T+30.5sstepBrowser Navigate: Navigated Current URL: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
16. T+32.6sstepBrowser Discover Data Sources
17. T+32.7sstepBrowser Discover Data Sources: { "url": "https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array", "title": "Array - JavaScri
18. T+34.7sstepFetch
19. T+35.4sstepFetch: [Output truncated: 14163 tokens exceeded limit of 5000. Full output: /workspace/.ephemeral/truncated-80657024.log] {"status": 200, "content_type":...
20. T+43.3sstepPython: import json
21. T+43.4sstepPython: Extracted methods: ['keys', 'reverse', 'fill', 'indexOf', 'toLocaleString', 'push', 'reduce', 'toReversed', 'toSpliced', 'sort', 'forEach', 'toSort...
22. T+46.8sstepPython: save_output_json({"methods": ["map", "filter", ...
23. T+46.9sstepPython: ✓ Wrote final output.json
24. T+49.7sstepDone: Extracted 5 Array instance method names from the MDN page: map, filter, reduce, forEach, and slice. The results have been saved to output.json.
25. T+49.7sstepExtracted 5 Array instance method names from the MDN page: map, filter, reduce, forEach, and slice. The results have been saved to output.json.

{
  "quotes": [
    {
      "text": "“It is better to be hated for what you are than to be loved for what you are not.”",
      "author": "André Gide"
    },
    {
      "text": "“This life is what you make it. No matter what, you're going to mess up sometimes, it's a universal truth. But the good part is you get to decide how you're going to mess it up. Girls will be your friends - they'll act like it anyway. But just remember, some come, some go. The ones that stay with you through everything - they're your true best friends. Don't let go of them. Also remember, sisters make the best friends in the world. As for lovers, well, they'll come and go too. And baby, I hate to say it, most of them - actually pretty much all of them are going to break your heart, but you can't give up because if you give up, you'll never find your soulmate. You'll never find that half who makes you whole and that goes for everything. Just because you fail once, doesn't mean you're gonna fail at everything. Keep trying, hold on, and always, always, always believe in yourself, because if you don't, then who will, sweetie? So keep your head high, keep your chin up, and most importantly, keep smiling, because life's a beautiful thing and there's so much to smile about.”",
      "author": "Marilyn Monroe"
    },
    {
      "text": "“You may not be her first, her last, or her only. She loved before she may love again. But if she loves you now, what else matters? She's not perfect—you aren't either, and the two of you may never be perfect together but if she can make you laugh, cause you to think twice, and admit to being human and making mistakes, hold onto her and give her the most you can. She may not be thinking about you every second of the day, but she will give you a part of her that she knows you can break—her heart. So don't hurt her, don't change her, don't analyze and don't expect more than she can give. Smile when she makes you happy, let her know when she makes you mad, and miss her when she's not there.”",
      "author": "Bob Marley"
    }
  ]
}

1. T+0.0sstepClick on the "love" tag link to navigate to the love quotes page. Then extract the first 3 quotes and their authors. Return JSON: { "quotes": [{ "text": string,
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://quotes.toscrape.com (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a process...
4. T+6.0sstepPython: import json
5. T+7.2sstepPython: Extracted 3 quotes
6. T+9.5sstepDone: Extracted the first 3 quotes from the "love" tag page at https://quotes.toscrape.com/tag/love/ and saved them to output.json.
7. T+9.6sstepExtracted the first 3 quotes from the "love" tag page at https://quotes.toscrape.com/tag/love/ and saved them to output.json.

{
  "books": [
    {
      "title": "The Most Perfect Thing: Inside (and Outside) a Bird's Egg",
      "price": "£42.96"
    },
    {
      "title": "Immunity: How Elie Metchnikoff Changed the Course of Modern Medicine",
      "price": "£57.36"
    },
    {
      "title": "Sorting the Beef from the Bull: The Science of Food Fraud Forensics",
      "price": "£44.74"
    }
  ]
}

1. T+0.0sstepClick on the "Science" category link in the sidebar, then extract the first 3 book titles and prices from the Science category page. Return JSON: { "books": [{
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://books.toscrape.com (HTTP 200, 10556 chars) [Books to Scrape](index.html) We love being scraped! - [Home](index.html) - All produc...
4. T+6.3sstepFetch
5. T+7.2sstepFetch: {"status": 200, "content_type": "", "size": 8879, "text": "[Books to Scrape](../../../../index.html) We love being scraped!\n\n- [Home](../../../.....
6. T+10.2sstepPython: import json
7. T+10.3sstepPython: [No output. Variables created: books, f]
8. T+12.3sstepDone: Extracted the first 3 books from the Science category: "The Most Perfect Thing: Inside (and Outside) a Bird's Egg" (£42.96), "Immunity: How Elie Me...
9. T+12.3sstepExtracted the first 3 books from the Science category: "The Most Perfect Thing: Inside (and Outside) a Bird's Egg" (£42.96), "Immunity: How Elie Metchnikoff Cha

{
  "results": [
    {
      "title": "OpenAI"
    },
    {
      "title": "OpenAIo3"
    },
    {
      "title": "OpenAIo1"
    }
  ]
}

1. T+0.0sstepType "OpenAI" into the search field and press Enter to submit. Extract the first 3 result titles. Return JSON: { "results": [{ "title": string }] } Start by na
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://en.wikipedia.org/wiki/Special:Search (HTTP 200, 4473 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar...
4. T+4.3sstepNavigating to https://en.wikipedia.org/wiki/Special:Search
5. T+7.5sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/Special:Search
6. T+9.9sstepBrowser Discover Data Sources
7. T+10.0sstepBrowser Discover Data Sources: { "url": "https://en.wikipedia.org/wiki/Special:Search", "title": "Search - Wikipedia", "focus_selector": null, "focus_fo
8. T+13.5sstepPython: async def search_openai():
9. T+13.7sstepPython failed: Error executing tool: AttributeError: 'BrowserWrapper' object has no attribute 'type_text' Traceback (most recent call last): File "/usr/local/
10. T+23.2sstepPython: async def search_openai():
11. T+23.2sstepPython failed: Error executing tool: RuntimeError: Element not found: #searchText Traceback (most recent call last): File "/usr/local/lib/python3.13/site-pack
12. T+25.6sstepPython: html = await browser.get_html()
13. T+25.7sstepPython: HTML Length: 620309 Inputs found: ['<input type="checkbox" id="vector-main-menu-dropdown-checkbox" role="button" aria-haspopup="true" data-event-na...
14. T+29.1sstepPython: async def search_openai():
15. T+31.5sstepPython: Final results: [{'title': 'OpenAI'}, {'title': 'OpenAIo3'}, {'title': 'OpenAIo1'}]
16. T+34.4sstepDone: Searched for "OpenAI" on Wikipedia and extracted the first 3 result titles: "OpenAI", "OpenAIo3", and "OpenAIo1". Results saved to output.json.
17. T+34.4sstepSearched for "OpenAI" on Wikipedia and extracted the first 3 result titles: "OpenAI", "OpenAIo3", and "OpenAIo1". Results saved to output.json.

{
  "results": [
    {
      "title": "Rust (programming language)"
    },
    {
      "title": "Outline of the Rust programming language"
    },
    {
      "title": "List of programming languages by type"
    }
  ]
}

1. T+0.0sstepType "Rust programming language" into the search field and press Enter to submit. Extract the first 3 result titles. Return JSON: { "results": [{ "title": strin
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://en.wikipedia.org/wiki/Special:Search (HTTP 200, 4473 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar...
4. T+7.8sstepNavigating to https://en.wikipedia.org/wiki/Special:Search
5. T+19.7sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/Special:Search
6. T+22.2sstepBrowser Discover Data Sources
7. T+22.3sstepBrowser Discover Data Sources: { "url": "https://en.wikipedia.org/wiki/Special:Search", "title": "Search - Wikipedia", "focus_selector": null, "focus_fo
8. T+26.5sstepFinding text: "Search Wikipedia"
9. T+26.6sstepBrowser Find Text failed: Error executing tool: Text 'Search Wikipedia' not found or not visible on page
10. T+30.0sstepPython: import json
11. T+30.0sstepPython: Probes: {'input[name="search"]': {'count': 3, 'sample_text': '', 'sample_tag': 'input', 'has_links': False, 'has_images': False}, '#searchText inpu...
12. T+32.9sstepPython: async def main():
13. T+33.1sstepPython: Typed and pressed Enter
14. T+35.6sstepBrowser Discover Data Sources
15. T+35.7sstepBrowser Discover Data Sources: { "url": "https://en.wikipedia.org/wiki/Rust_(programming_language)", "title": "Rust (programming language) - Wikipedia", "
16. T+40.2sstepNavigating to https://en.wikipedia.org/w/index.php?search=Rust+programm...
17. T+44.4sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/w/index.php?search=Rust+programming+language&title=Special%3ASearch&fulltext=1&ns0=1
18. T+46.3sstepBrowser Discover Data Sources
19. T+46.3sstepBrowser Discover Data Sources: { "url": "https://en.wikipedia.org/w/index.php?search=Rust+programming+language&title=Special%3ASearch&fulltext=1&ns0=1", "ti
20. T+49.5sstepPython: from bs4 import BeautifulSoup
21. T+49.7sstepPython: { "results": [ { "title": "Rust(programminglanguage)" }, { "title": "Outline of theRustprogramminglanguage" }, { ...
22. T+52.9sstepPython: from bs4 import BeautifulSoup
23. T+53.0sstepPython: { "results": [ { "title": "Rust ( programming language )" }, { "title": "Outline of the Rust programming language" },...
24. T+57.3sstepPython: from bs4 import BeautifulSoup
25. T+57.4sstepPython: { "results": [ { "title": "Rust (programming language)" }, { "title": "Outline of the Rust programming language" }, ...
26. T+60.6sstepDone: Extracted the first 3 search results for "Rust programming language" from Wikipedia: 1. Rust (programming language) 2. Outline of the Rust programm...
27. T+60.6sstepExtracted the first 3 search results for "Rust programming language" from Wikipedia: 1. Rust (programming language) 2. Outline of the Rust programming language

{
  "packages": [
    {
      "name": "express",
      "description": "Fast, unopinionated, minimalist web framework"
    },
    {
      "name": "@types/express",
      "description": "TypeScript definitions for express"
    },
    {
      "name": "swagger-ui-express",
      "description": "Swagger UI Express"
    }
  ]
}

1. T+0.0sstepExtract the names and descriptions of the first 3 packages. Return JSON: { "packages": [{ "name": string, "description": string }] } Start by navigating to: ht
2. T+0.5sstepFetch
3. T+1.9sstepFetch: Fetched https://www.npmjs.com/search?q=express (HTTP 200, 17194 chars) skip to:[content](#main)[package search](#search)[sign in](#signin) - [Pro...
4. T+9.5sstepPython: import json
5. T+9.6sstepPython failed: Error executing tool: FileNotFoundError: [Errno 2] No such file or directory: '__last_fetch_raw.html' Traceback (most recent call last): File "
6. T+13.2sstepPython: import json
7. T+13.3sstepPython: Saved output.json
8. T+17.7sstepDone: Extracted the first 3 packages for "express" from npm: 1. express: Fast, unopinionated, minimalist web framework 2. @types/express: TypeScript defi...
9. T+17.7sstepExtracted the first 3 packages for "express" from npm: 1. express: Fast, unopinionated, minimalist web framework 2. @types/express: TypeScript definitions for e

{
  "quotes": [
    {
      "text": "This life is what you make it. No matter what, you're going to mess up sometimes, it's a universal truth. But the good part is you get to decide how you're going to mess it up. Girls will be your friends - they'll act like it anyway. But just remember, some come, some go. The ones that stay with you through everything - they're your true best friends. Don't let go of them. Also remember, sisters make the best friends in the world. As for lovers, well, they'll come and go too. And baby, I hate to say it, most of them - actually pretty much all of them are going to break your heart, but you can't give up because if you give up, you'll never find your soulmate. You'll never find that half who makes you whole and that goes for everything. Just because you fail once, doesn't mean you're gonna fail at everything. Keep trying, hold on, and always, always, always believe in yourself, because if you don't, then who will, sweetie? So keep your head high, keep your chin up, and most importantly, keep smiling, because life's a beautiful thing and there's so much to smile about.",
      "author": "Marilyn Monroe"
    },
    {
      "text": "It takes a great deal of bravery to stand up to our enemies, but just as much to stand up to our friends.",
      "author": "J.K. Rowling"
    },
    {
      "text": "If you can't explain it to a six year old, you don't understand it yourself.",
      "author": "Albert Einstein"
    }
  ]
}

1. T+0.0sstepClick the "Next" button to go to page 2. Extract the first 3 quotes and authors from page 2. Return JSON: { "quotes": [{ "text": string, "author": string }] }
2. T+0.5sstepFetch
3. T+2.3sstepFetch: Fetched https://quotes.toscrape.com (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a process...
4. T+6.0sstepPython: import json
5. T+6.5sstepPython: Extracted 3 quotes
6. T+8.5sstepDone: Extracted the first 3 quotes and authors from page 2 of https://quotes.toscrape.com and saved them to output.json.
7. T+8.6sstepExtracted the first 3 quotes and authors from page 2 of https://quotes.toscrape.com and saved them to output.json.

{
  "teams": [
    {
      "name": "Boston Bruins",
      "wins": 44
    },
    {
      "name": "Buffalo Sabres",
      "wins": 31
    },
    {
      "name": "Calgary Flames",
      "wins": 46
    },
    {
      "name": "Chicago Blackhawks",
      "wins": 49
    },
    {
      "name": "Detroit Red Wings",
      "wins": 34
    }
  ]
}

1. T+0.0sstepThis page has a table of hockey teams. Extract the first 5 team names and their wins. Return JSON: { "teams": [{ "name": string, "wins": number }] } Start by n
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://www.scrapethissite.com/pages/forms/ (HTTP 200, 2835 chars) - [ Scrape This Site](/) - [Sandbox...
4. T+6.5sstepPython: from bs4 import BeautifulSoup
5. T+7.4sstepPython: { "teams": [ { "name": "Boston Bruins", "wins": 44 }, { "name": "Buffalo Sabres", "wins": 31 }, { ...
6. T+10.0sstepDone: I have extracted the first 5 team names and their wins from the hockey stats table. The results are: - Boston Bruins: 44 wins - Buffalo Sabres: 31...
7. T+10.0sstepI have extracted the first 5 team names and their wins from the hockey stats table. The results are: - Boston Bruins: 44 wins - Buffalo Sabres: 31 wins - Calga

{
  "temperature": "53°F",
  "conditions": "Decreasing Clouds"
}

1. T+0.0sstepExtract the current temperature and conditions for San Francisco. Return JSON: { "temperature": string, "conditions": string } Start by navigating to: https://
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://forecast.weather.gov/MapClick.php?CityName=San+Francisco&state=CA&site=MTR (HTTP 400, 81 chars) # Bad Request Your browser sent a...
4. T+4.9sstepNavigating to https://forecast.weather.gov/MapClick.php?CityName=San+Fr...
5. T+14.5sstepBrowser Navigate: Navigated Current URL: https://forecast.weather.gov/MapClick.php?CityName=San+Francisco&state=CA&site=MTR&textField1=37.775&textField2=-122.41
6. T+17.9sstepPython: import json
7. T+18.0sstepPython: {'temperature': '53°F', 'conditions': 'NA'}
8. T+21.2sstepPython: from bs4 import BeautifulSoup
9. T+21.3sstepPython: {'temperature': '53°F', 'conditions': 'NA'}
10. T+25.1sstepRunning JavaScript
11. T+25.2sstepBrowser Evaluate: {"temp":"53°F","cond":"NA","first_tombstone_desc":"Decreasing\nClouds","detailed_forecast":"Mostly cloudy, then gradually becoming sunny, with
12. T+28.2sstepPython: import json
13. T+28.3sstepPython: [No output. Variables created: data, f]
14. T+30.3sstepDone: The current temperature in San Francisco is 53°F and the conditions are Decreasing Clouds. Results saved to output.json.
15. T+30.3sstepThe current temperature in San Francisco is 53°F and the conditions are Decreasing Clouds. Results saved to output.json.

{
  "submittedName": "Test User"
}

1. T+0.0sstepFill: customer name "Test User", phone "555-1234", email "test@example.com", comments "Ring the bell". Click Submit. Extract the customer name from the response
2. T+0.8sstepFetch
3. T+2.1sstepFetch: Fetched https://httpbin.org/forms/post (HTTP 503, 37 chars) # 503 Service Temporarily Unavailable
4. T+4.6sstepNavigating to https://httpbin.org/forms/post
5. T+16.1sstepBrowser Navigate failed: Error executing tool: Navigation failed: Navigation failed: net::ERR_CONNECTION_CLOSED
6. T+17.4sstepBrowser Reload
7. T+18.5sstepBrowser Reload: Browser reloaded with a new connection. Navigate to your target URL to continue.
8. T+22.5sstepNavigating to https://httpbin.org/forms/post
9. T+31.7sstepBrowser Navigate: Navigated Current URL: https://httpbin.org/forms/post
10. T+34.5sstepBrowser Discover Data Sources
11. T+43.2sstepBrowser Discover Data Sources: { "url": "https://httpbin.org/forms/post", "title": "503 Service Temporarily Unavailable", "focus_selector": null, "focus
12. T+45.3sstepWeb Search
13. T+46.8sstepWeb Search: {"success": true, "results": [{"url": "https://httpbin.org/", "title": "httpbin.org", "excerpts": ["# httpbin.org ```\n0.9.2\n[ Base URL: httpbin.o.
14. T+50.2sstepNavigating to http://httpbin.org/forms/post
15. T+64.3sstepBrowser Navigate: Navigated Current URL: http://httpbin.org/forms/post
16. T+67.6sstepWaiting 3s
17. T+70.7sstepBrowser Wait: Waited
18. T+73.0sstepRunning JavaScript
19. T+73.2sstepBrowser Evaluate: {'html': '<head>\n </head>\n <body>\n <!-- Example form from HTML5 spec http://www.w3.org/TR/html5/forms.html#writing-a-form\'s-user-interf
20. T+74.9sstepTyping 'Test User' at normalized (50, 50)
21. T+75.9sstepBrowser Type Text: Typed 'Test User' via keyboard typing. Coordinate: normalized_1000=(50.0, 50.0) viewport_pixel=(96, 41) viewport=(1920, 824) Resolved target:
22. T+78.1sstepPython: async def fill_form():
23. T+78.2sstepPython failed: Error executing tool: RuntimeError: Element not found: textarea[name="comments"] Traceback (most recent call last): File "/usr/local/lib/python
24. T+81.7sstepRunning JavaScript
25. T+81.8sstepBrowser Evaluate: <head> </head> <body> <!-- Example form from HTML5 spec http://www.w3.org/TR/html5/forms.html#writing-a-form's-user-interface --> <for
26. T+85.2sstepPython: async def fill_form_and_submit():
27. T+85.4sstepPython failed: Error executing tool: RuntimeError: Element not found: textarea[name="comments"] Traceback (most recent call last): File "/usr/local/lib/python
28. T+90.8sstepRunning JavaScript
29. T+90.9sstepBrowser Evaluate: Result: undefined (empty - JS expression may have returned nothing or selector did not match)
30. T+95.9sstepRunning JavaScript
31. T+101.3sstepBrowser Evaluate: {'nameEl': False, 'telEl': False, 'emailEl': False, 'commentsEl': False, 'buttonEl': False}
32. T+103.3sstepRunning JavaScript
33. T+103.4sstepBrowser Evaluate: {'url': 'http://httpbin.org/post', 'body': '502 Bad Gateway: Failed to read upstream response\n', 'html': '<pre style="word-wrap: break-word;
34. T+106.1sstepNavigating to http://httpbin.org/forms/post
35. T+107.0sstepBrowser Navigate: Navigated
36. T+109.5sstepRunning JavaScript
37. T+109.6sstepBrowser Evaluate: Form not found
38. T+111.6sstepBrowser Reload
39. T+112.3sstepBrowser Reload: Browser reloaded with a new connection. Navigate to your target URL to continue.
40. T+113.8sstepNavigating to https://httpbin.org/forms/post
41. T+136.3sstepBrowser Navigate: Navigated Current URL: https://httpbin.org/forms/post
42. T+138.9sstepRunning JavaScript
43. T+139.0sstepBrowser Evaluate: <!-- Example form from HTML5 spec http://www.w3.org/TR/html5/forms.html#writing-a-form's-user-interface --> <form method="post" action="/
44. T+142.8sstepRunning JavaScript
45. T+142.8sstepBrowser Evaluate: Submitted
46. T+148.2sstepWaiting 2s
47. T+150.3sstepBrowser Wait: Waited
48. T+155.0sstepRunning JavaScript
49. T+177.8sstepBrowser Evaluate: {'url': 'https://httpbin.org/post', 'content': '{\n "args": {}, \n "data": "", \n "files": {}, \n "form": {\n "comments": "Ring the bel
50. T+182.1sstepPython: import json
51. T+182.2sstepPython: ✓ Wrote final output.json
52. T+183.8sstepDone: The form on https://httpbin.org/forms/post was successfully filled with the customer name "Test User", phone "555-1234", email "test@example.com", ...
53. T+183.8sstepThe form on https://httpbin.org/forms/post was successfully filled with the customer name "Test User", phone "555-1234", email "test@example.com", and comments

{
  "name": "Alice Smith",
  "email": "alice@example.com"
}

1. T+0.0sstepFill: Full Name "Alice Smith", Email "alice@example.com", Current Address "123 Main St", Permanent Address "456 Oak Ave". Click Submit. Extract the displayed ou
2. T+0.5sstepFetch
3. T+1.8sstepFetch: Fetched https://demoqa.com/text-box (HTTP 200, 0 chars)
4. T+5.1sstepNavigating to https://demoqa.com/text-box
5. T+7.9sstepBrowser Navigate: Navigated Current URL: https://demoqa.com/text-box
6. T+11.9sstepPython: async def fill_and_extract():
7. T+14.0sstepPython: Fill result: submitted ✓ Wrote final output.json {'name': 'Alice Smith', 'email': 'alice@example.com'}
8. T+16.9sstepDone: Form submitted and data extracted. The displayed output for Name is "Alice Smith" and Email is "alice@example.com". Results saved to output.json.
9. T+16.9sstepForm submitted and data extracted. The displayed output for Name is "Alice Smith" and Email is "alice@example.com". Results saved to output.json.

{
  "loggedIn": true
}

1. T+0.0sstepFill username "admin" and password "admin", click Login. Return JSON: { "loggedIn": true } if successful. Start by navigating to: https://quotes.toscrape.com/l
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://quotes.toscrape.com/login (HTTP 200, 167 chars) # [Quotes to Scrape](/) [Login](/login) Username Password Quotes by: [GoodRead...
4. T+5.9sstepNavigating to https://quotes.toscrape.com/login
5. T+13.2sstepBrowser Navigate: Navigated Current URL: https://quotes.toscrape.com/login
6. T+15.8sstepPython: import json
7. T+15.9sstepPython: {"input[name=\"username\"]": {"count": 1, "sample_text": "", "sample_tag": "input", "has_links": false, "has_images": false}, "input[name=\"passwor...
8. T+20.1sstepPython: async def login():
9. T+20.2sstepPython failed: Error executing tool: RuntimeError: Element not found: input[type="submit"] Traceback (most recent call last): File "/usr/local/lib/python3.13/
10. T+22.9sstepRunning JavaScript
11. T+23.0sstepBrowser Evaluate: <div class="container"> <div class="row header-box"> <div class="col-md-8"> <h1>
12. T+27.7sstepPython: async def check_status():
13. T+27.8sstepPython: URL: https://quotes.toscrape.com/ Has logout: True Has login form: False
14. T+33.2sstepPython: async def logout_and_relogin():
15. T+34.9sstepPython failed: Error executing tool: RuntimeError: Element not found: input[type="submit"] Traceback (most recent call last): File "/usr/local/lib/python3.13/
16. T+39.6sstepPython: async def inspect_login_page():
17. T+40.0sstepPython: <html lang="en"><head> <meta charset="UTF-8"> <title>Quotes to Scrape</title> <link rel="stylesheet" href="/static/bootstrap.min.css"> <l...
18. T+47.4sstepPython: async def perform_login():
19. T+47.9sstepPython failed: Error executing tool: RuntimeError: Element not found: input[type="submit"] Traceback (most recent call last): File "/usr/local/lib/python3.13/
20. T+51.7sstepPython: async def login_via_js():
21. T+54.3sstepPython: ✓ Wrote final output.json URL after login: https://quotes.toscrape.com/login Logged in: False
22. T+56.6sstepNavigating to https://quotes.toscrape.com/login
23. T+57.3sstepBrowser Navigate: Navigated
24. T+59.9sstepTyping 'admin' at normalized (410, 290)
25. T+60.8sstepBrowser Type Text: Typed 'admin' via keyboard typing. Coordinate: normalized_1000=(410.0, 290.0) viewport_pixel=(614, 223) viewport=(1497, 770) Resolved target:
26. T+63.7sstepFinding text: "Username"
27. T+63.8sstepBrowser Find Text: Found 1 text match(es) for 'Username'. Resolved target: tag=label, label="Username" CSS selector: label (2 matches) XPath: /html[1]/body[1]/d
28. T+68.0sstepPython: async def login_with_selectors():
29. T+68.1sstepPython failed: Error executing tool: RuntimeError: Element not found: .btn-primary Traceback (most recent call last): File "/usr/local/lib/python3.13/site-pac
30. T+74.1sstepPython: async def final_attempt():
31. T+79.9sstepPython: Submit button HTML: <input type="submit" value="Login" class="btn btn-primary"> Selector click failed, falling back to JS ✓ Wrote final output.json...
32. T+82.6sstepDone: Successfully logged in to Quotes to Scrape as "admin". The result has been saved to output.json.
33. T+82.6sstepSuccessfully logged in to Quotes to Scrape as "admin". The result has been saved to output.json.

{
  "loggedIn": true
}

1. T+0.0sstepFill username "tomsmith" and password "SuperSecretPassword!", click Login. Return JSON: { "loggedIn": true } if you see the secure area page. Start by navigati
2. T+0.5sstepFetch
3. T+1.0sstepFetch: Fetched https://the-internet.herokuapp.com/login (HTTP 200, 409 chars) [](https://github.c...
4. T+4.6sstepNavigating to https://the-internet.herokuapp.com/login
5. T+14.6sstepBrowser Navigate: Navigated Current URL: https://the-internet.herokuapp.com/login
6. T+19.0sstepTyping 'tomsmith' at normalized (462, 243); Typing 'SuperSecretPassword!' at normalized (462, 305); Clicking at normalized (462, 368)
7. T+20.1sstepBrowser Type Text: Typed 'tomsmith' via keyboard typing. Coordinate: normalized_1000=(462.0, 243.0) viewport_pixel=(887, 200) viewport=(1920, 824) Resolved targ
8. T+21.0sstepBrowser Type Text: Typed 'SuperSecretPassword!' via direct text entry. Coordinate: normalized_1000=(462.0, 305.0) viewport_pixel=(887, 251) viewport=(1920, 824)
9. T+22.0sstepBrowser Click: Clicked target. Coordinate: normalized_1000=(462.0, 368.0) viewport_pixel=(887, 303) viewport=(1920, 824) Resolved target: tag=input, type=passwo
10. T+26.8sstepPython: import json
11. T+26.9sstepPython: { "#username": { "count": 1, "sample_text": "", "sample_tag": "input", "has_links": false, "has_images": false }, "#passw...
12. T+29.3sstepPython: await browser.input(selector='#username', text=...
13. T+29.4sstepPython failed: Error executing tool: RuntimeError: Element not found: button[type="submit"] Traceback (most recent call last): File "/usr/local/lib/python3.13
14. T+33.1sstepRunning JavaScript
15. T+33.1sstepBrowser Evaluate: Not found
16. T+35.4sstepPython: url = await browser.get_url()
17. T+35.4sstepPython: URL: https://the-internet.herokuapp.com/secure <html class="no-js" lang="en"><!--<![endif]--><head> <script src="/js/vendor/298279967.js"></scr...
18. T+38.8sstepPython: html = await browser.get_html()
19. T+38.8sstepPython: Logged in: True ✓ Wrote final output.json
20. T+40.2sstepDone: Successfully logged in to the secure area. Results saved to output.json.
21. T+40.3sstepSuccessfully logged in to the secure area. Results saved to output.json.

{
  "customer": "Bob Jones"
}

1. T+0.0sstepFill the form with customer "Bob Jones", size "Large", and topping "Bacon". Click Submit. Extract the customer name. Return JSON: { "customer": string } Start
2. T+0.5sstepFetch
3. T+9.3sstepFetch: Fetched https://httpbin.org/forms/post (HTTP 200, 195 chars) Customer name: Telephone: E-mail address: Pizza Size Small Medium Large Pizza ...
4. T+12.4sstepNavigating to https://httpbin.org/forms/post
5. T+25.7sstepBrowser Navigate: Navigated Current URL: https://httpbin.org/forms/post
6. T+27.7sstepBrowser Discover Data Sources
7. T+32.0sstepBrowser Discover Data Sources: { "url": "https://httpbin.org/forms/post", "title": "", "focus_selector": null, "focus_found": false, "classifiers": []
8. T+35.5sstepPython: import json
9. T+35.6sstepPython failed: Error executing tool: AttributeError: 'BrowserWrapper' object has no attribute 'type_text' Traceback (most recent call last): File "/usr/local/
10. T+38.6sstepFinding text: "Customer name:"
11. T+38.7sstepBrowser Find Text: Found 1 text match(es) for 'Customer name:'. Resolved target: tag=label, label="Customer name:" CSS selector: label (12 matches) XPath: /html
12. T+42.5sstepTyping 'Bob Jones' at normalized (436, 92)
13. T+43.4sstepBrowser Type Text: Typed 'Bob Jones' via keyboard typing. Coordinate: normalized_1000=(436.0, 92.0) viewport_pixel=(837, 76) viewport=(1920, 824) Resolved targe
14. T+45.1sstepClicking at normalized (436, 257)
15. T+46.0sstepBrowser Click: Clicked target. Coordinate: normalized_1000=(436.0, 257.0) viewport_pixel=(837, 212) viewport=(1920, 824) Resolved target: tag=p CSS selector: p
16. T+51.2sstepPython: import json
17. T+63.7sstepPython: Fill/Submit result: Submitted Post Response Body Snippet: <html><head><meta name="color-scheme" content="light dark"><meta charset="utf-8"></head><...
18. T+65.3sstepDone: Successfully filled the form for Bob Jones, size Large, and Bacon topping. The form was submitted to httpbin.org/post, and the customer name "Bob J...
19. T+65.3sstepSuccessfully filled the form for Bob Jones, size Large, and Bacon topping. The form was submitted to httpbin.org/post, and the customer name "Bob Jones" was ext

{
  "selected": "Option 2"
}

1. T+0.0sstepSelect "Option 2" from the dropdown menu. Return JSON: { "selected": string } with the selected value. Start by navigating to: https://the-internet.herokuapp.c
2. T+0.5sstepFetch
3. T+1.1sstepFetch: Fetched https://the-internet.herokuapp.com/dropdown (HTTP 200, 235 chars) [](https://githu...
4. T+5.0sstepNavigating to https://the-internet.herokuapp.com/dropdown
5. T+14.7sstepBrowser Navigate: Navigated Current URL: https://the-internet.herokuapp.com/dropdown
6. T+16.9sstepPython: probes = await browser.probe(['select#dropdown'...
7. T+17.0sstepPython: {'select#dropdown': {'count': 1, 'sample_text': 'Please select an option\n Option 1\n Option 2', 'sample_tag': 'select', 'has_links': False, ...
8. T+19.8sstepPython: await browser.select_dropdown(selector='select#...
9. T+19.8sstepPython failed: Error executing tool: AttributeError: 'BrowserWrapper' object has no attribute 'select_dropdown' Traceback (most recent call last): File "/usr/
10. T+24.6sstepFinding text: "Please select an option"
11. T+24.6sstepBrowser Find Text: Found 1 text match(es) for 'Please select an option'. Resolved target: tag=select, label="Please select an option" CSS selector: #dropdown (u
12. T+27.1sstepRunning JavaScript
13. T+27.2sstepBrowser Evaluate: Option 2
14. T+29.9sstepPython: save_output_json({"selected": "Option 2"})
15. T+30.0sstepPython: ✓ Wrote final output.json
16. T+32.0sstepDone: Selected "Option 2" from the dropdown menu and saved the result to output.json.
17. T+32.1sstepSelected "Option 2" from the dropdown menu and saved the result to output.json.

{
  "checkbox1": true,
  "checkbox2": false
}

1. T+0.0sstepCheck the first checkbox (if unchecked) and uncheck the second (if checked). Then report the state of both. Return JSON: { "checkbox1": boolean, "checkbox2": bo
2. T+0.5sstepFetch
3. T+0.8sstepFetch: Fetched https://the-internet.herokuapp.com/checkboxes (HTTP 200, 214 chars) [](https://git...
4. T+3.2sstepNavigating to https://the-internet.herokuapp.com/checkboxes
5. T+7.0sstepBrowser Navigate: Navigated Current URL: https://the-internet.herokuapp.com/checkboxes
6. T+9.6sstepPython: async def manage_checkboxes():
7. T+9.7sstepPython failed: Error executing tool: KeyError: 0 Traceback (most recent call last): File "/usr/local/lib/python3.13/site-packages/bu_use/bu/tools/python/tool.
8. T+12.2sstepPython: import json
9. T+12.3sstepPython failed: Error executing tool: TypeError: the JSON object must be str, bytes or bytearray, not dict Traceback (most recent call last): File "/usr/local/
10. T+15.9sstepPython: async def manage_checkboxes():
11. T+16.0sstepPython failed: Error executing tool: KeyError: 0 Traceback (most recent call last): File "/usr/local/lib/python3.13/site-packages/bu_use/bu/tools/python/tool.
12. T+18.6sstepRunning JavaScript
13. T+18.7sstepBrowser Evaluate: [false,true]
14. T+21.5sstepClicking at normalized (441, 180)
15. T+22.4sstepBrowser Click: Clicked target. Coordinate: normalized_1000=(441.0, 180.0) viewport_pixel=(847, 148) viewport=(1920, 824) Resolved target: tag=div CSS selector:
16. T+24.6sstepClicking at normalized (441, 180)
17. T+25.5sstepBrowser Click: Clicked target. Coordinate: normalized_1000=(441.0, 180.0) viewport_pixel=(847, 148) viewport=(1920, 824) Resolved target: tag=div CSS selector:
18. T+27.8sstepRunning JavaScript
19. T+27.8sstepBrowser Evaluate: {"checkbox1":true,"checkbox2":false}
20. T+31.1sstepPython: import json
21. T+31.2sstepPython: ✓ Wrote final output.json Saved: {'checkbox1': True, 'checkbox2': False}
22. T+34.9sstepDone: I have updated the checkboxes on https://the-internet.herokuapp.com/checkboxes as requested. Final state: - Checkbox 1: checked (true) - Checkbox...
23. T+34.9sstepI have updated the checkboxes on https://the-internet.herokuapp.com/checkboxes as requested. Final state: - Checkbox 1: checked (true) - Checkbox 2: unchecked

{
  "results": [
    {
      "title": "Machine learning"
    },
    {
      "title": "Attention (machine learning)"
    },
    {
      "title": "Neural network (machine learning)"
    }
  ]
}

1. T+0.0sstepType "machine learning" into the search field and press Enter to submit. Extract the first 3 result titles. Return JSON: { "results": [{ "title": string }] } S
2. T+0.5sstepFetch
3. T+1.5sstepFetch: Fetched https://en.wikipedia.org/wiki/Special:Search (HTTP 200, 4473 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar...
4. T+6.7sstepNavigating to https://en.wikipedia.org/wiki/Special:Search
5. T+10.4sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/Special:Search
6. T+13.7sstepFinding text: "Search Wikipedia"
7. T+13.7sstepBrowser Find Text failed: Error executing tool: Text 'Search Wikipedia' not found or not visible on page
8. T+17.1sstepBrowser Discover Data Sources
9. T+17.2sstepBrowser Discover Data Sources: { "url": "https://en.wikipedia.org/wiki/Special:Search", "title": "Search - Wikipedia", "focus_selector": null, "focus_fo
10. T+20.9sstepPython: async def check_inputs():
11. T+21.0sstepPython: {'input[type="search"]': {'count': 3, 'sample_text': '', 'sample_tag': 'input', 'has_links': False, 'has_images': False}, 'input[name="search"]': {...
12. T+26.0sstepTyping 'machine learning' at normalized (0, 0)
13. T+27.1sstepBrowser Type Text: Typed 'machine learning' via keyboard typing. Coordinate: normalized_1000=(0.0, 0.0) viewport_pixel=(0, 0) viewport=(1497, 770) Resolved targ
14. T+30.3sstepNavigating to https://en.wikipedia.org/w/index.php?search=machine+learn...
15. T+34.3sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/w/index.php?search=machine+learning&title=Special:Search&fulltext=1&ns0=1
16. T+36.5sstepPython: import re
17. T+36.6sstepPython: ✓ Wrote final output.json [{'title': 'Machinelearning'}, {'title': 'Attention (machinelearning)'}, {'title': 'Neural network (machinelearning)'}]
18. T+39.5sstepPython: import re
19. T+39.6sstepPython: ✓ Wrote final output.json [{'title': 'Machine learning'}, {'title': 'Attention (machine learning)'}, {'title': 'Neural network (machine learning)'}]
20. T+42.3sstepDone: Extracted the first 3 search result titles for "machine learning" from Wikipedia. Results saved to output.json.
21. T+42.3sstepExtracted the first 3 search result titles for "machine learning" from Wikipedia. Results saved to output.json.

{
  "quotes": [
    {
      "text": "The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking.",
      "author": "Albert Einstein"
    },
    {
      "text": "It is our choices, Harry, that show what we truly are, far more than our abilities.",
      "author": "J.K. Rowling"
    },
    {
      "text": "There are only two ways to live your life. One is as though nothing is a miracle. The other is as though everything is a miracle.",
      "author": "Albert Einstein"
    }
  ]
}

1. T+0.0sstepLog in with username "admin" and password "admin". After login, extract the first 3 quotes and their authors from the homepage. Return JSON: { "quotes": [{ "tex
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://quotes.toscrape.com/login (HTTP 200, 167 chars) # [Quotes to Scrape](/) [Login](/login) Username Password Quotes by: [GoodRead...
4. T+4.9sstepNavigating to https://quotes.toscrape.com/login
5. T+9.5sstepBrowser Navigate: Navigated Current URL: https://quotes.toscrape.com/login
6. T+13.0sstepPython: async def login_and_extract():
7. T+13.1sstepPython failed: Error executing tool: RuntimeError: Element not found: input[type="submit"] Traceback (most recent call last): File "/usr/local/lib/python3.13/
8. T+15.8sstepBrowser Discover Data Sources
9. T+18.3sstepBrowser Discover Data Sources: { "url": "https://quotes.toscrape.com/", "title": "Quotes to Scrape", "focus_selector": null, "focus_found": false, "cl
10. T+23.4sstepPython: async def login_and_extract():
11. T+34.2sstepPython: ✓ Wrote final output.json Extracted 0 quotes
12. T+39.0sstepBrowser Capture Rendered Pages
13. T+44.6sstepBrowser Capture Rendered Pages: Saved rendered HTML for 1 page(s) to /workspace/rendered_pages. Manifest: /workspace/rendered_pages/manifest.json. Returned to t
14. T+49.8sstepPython: import os
15. T+49.9sstepPython failed: Error executing tool: KeyError: 'file' Traceback (most recent call last): File "/usr/local/lib/python3.13/site-packages/bu_use/bu/tools/python/
16. T+54.4sstepRunning: cat /workspace/rendered_pages/manifest.json
17. T+54.5sstepBash: [ { "index": 1, "requested_url": "https://quotes.toscrape.com/", "final_url": "https://quotes.toscrape.com/", "selector": "body",...
18. T+57.9sstepPython: from bs4 import BeautifulSoup
19. T+58.0sstepPython: ✓ Wrote final output.json Extracted 3 quotes
20. T+60.9sstepDone: Logged in as admin and extracted the first 3 quotes from the homepage. Results saved to output.json.
21. T+61.0sstepLogged in as admin and extracted the first 3 quotes from the homepage. Results saved to output.json.

{
  "stars": 140382,
  "language": "JavaScript",
  "description": "The React Framework"
}

1. T+0.0sstepExtract the star count, primary language, and description. Return JSON: { "stars": string | number, "language": string, "description": string } Start by naviga
2. T+3.9sstepNavigating to https://github.com/vercel/next.js
3. T+15.4sstepBrowser Navigate: Navigated Current URL: https://github.com/vercel/next.js
4. T+23.9sstepPython: import json
5. T+24.2sstepPython: {"stars": 140382, "language": "JavaScript", "description": ""} ✓ Wrote final output.json
6. T+31.0sstepBrowser Discover Data Sources
7. T+31.6sstepBrowser Discover Data Sources: { "url": "https://github.com/vercel/next.js", "title": "GitHub - vercel/next.js: The React Framework \u00b7 GitHub", "focus
8. T+38.7sstepPython: import json
9. T+38.9sstepPython: { "stars": 140382, "language": "JavaScript", "description": "The React Framework" } ✓ Wrote final output.json
10. T+42.5sstepDone: Extracted Next.js repository details: 140,382 stars, primary language JavaScript, and description "The React Framework". Results saved to output.json.
11. T+42.5sstepExtracted Next.js repository details: 140,382 stars, primary language JavaScript, and description "The React Framework". Results saved to output.json.

{
  "version": "4.4.3",
  "description": "TypeScript-first schema validation with static type inference\n    \n    by @colinhacks"
}

1. T+0.0sstepExtract the version number and description. Return JSON: { "version": string, "description": string } Start by navigating to: https://www.npmjs.com/package/zod
2. T+0.5sstepFetch
3. T+2.8sstepFetch: Fetched https://www.npmjs.com/package/zod (HTTP 403, 0 chars)
4. T+7.0sstepNavigating to https://www.npmjs.com/package/zod
5. T+12.1sstepBrowser Navigate: Navigated Current URL: https://www.npmjs.com/package/zod
6. T+16.4sstepBrowser Discover Data Sources
7. T+16.4sstepBrowser Discover Data Sources: { "url": "https://www.npmjs.com/package/zod", "title": "zod - npm", "focus_selector": null, "focus_found": false, "clas
8. T+24.0sstepPython: async def extract_zod():
9. T+24.2sstepPython: {'version': '', 'description': 'TypeScript-first schema declaration and validation library with static type inference. Latest version: 4.4.3, last ...
10. T+32.4sstepPython: async def refine_zod():
11. T+32.5sstepPython: {'version': '4.4.3', 'description': '213,423,992'} ✓ Wrote final output.json
12. T+36.3sstepPython: async def finalize_zod():
13. T+36.4sstepPython: {'version': '4.4.3', 'description': 'TypeScript-first schema validation with static type inference\n \n by @colinhacks'} ✓ Wrote final output...
14. T+39.9sstepDone: Extracted Zod package version 4.4.3 and its description: "TypeScript-first schema validation with static type inference by @colinhacks". Output sav...
15. T+40.0sstepExtracted Zod package version 4.4.3 and its description: "TypeScript-first schema validation with static type inference by @colinhacks". Output saved to output.

{
  "intro": "JavaScript (JS) is a programming language and core technology of the Web, alongside HTML and CSS. Created by Brendan Eich in 1995, it is maintained by Ecma International's TC39 technical committee, with related Web APIs maintained by W3C and WHATWG. As of 2025, JavaScript is the most widely used programming language on GitHub."
}

1. T+0.0sstepExtract the first paragraph of the article body. Return JSON: { "intro": string } Start by navigating to: https://en.wikipedia.org/wiki/JavaScript
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://en.wikipedia.org/wiki/JavaScript (HTTP 200, 180426 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar h...
4. T+10.2sstepPython: from bs4 import BeautifulSoup
5. T+11.1sstepPython: Content not found
6. T+17.1sstepNavigating to https://en.wikipedia.org/wiki/JavaScript
7. T+25.9sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/JavaScript
8. T+30.3sstepPython: from bs4 import BeautifulSoup
9. T+30.7sstepPython: ✓ Wrote final output.json JavaScript (JS) is a programming language and core technology of the Web, alongside HTML and CSS. Created by Brendan Eich...
10. T+35.6sstepDone: The first paragraph of the JavaScript Wikipedia article has been extracted and saved to output.json. Intro: "JavaScript (JS) is a programming lang...
11. T+35.7sstepThe first paragraph of the JavaScript Wikipedia article has been extracted and saved to output.json. Intro: "JavaScript (JS) is a programming language and core

{
  "heading": "Example Domain",
  "paragraph": "This domain is for use in documentation examples without needing permission. Avoid use in operations."
}

1. T+0.0sstepExtract the main heading text and the first paragraph text. Return JSON: { "heading": string, "paragraph": string } Start by navigating to: https://example.com
2. T+0.5sstepFetch
3. T+1.5sstepFetch: Fetched https://example.com (HTTP 200, 167 chars) # Example Domain This domain is for use in documentation examples without needing permission. A...
4. T+6.6sstepPython: import json; Completing task
5. T+6.6sstepPython: Saved data to output.json
6. T+6.7sstepDone: Extracted the main heading and first paragraph from example.com and saved to output.json.
7. T+6.7sstepExtracted the main heading and first paragraph from example.com and saved to output.json.

{
  "users": [
    {
      "name": "Leanne Graham",
      "email": "Sincere@april.biz"
    },
    {
      "name": "Ervin Howell",
      "email": "Shanna@melissa.tv"
    },
    {
      "name": "Clementine Bauch",
      "email": "Nathan@yesenia.net"
    }
  ]
}

1. T+0.0sstepThis page shows raw JSON. Extract the names and emails of the first 3 users. Return JSON: { "users": [{ "name": string, "email": string }] } Start by navigatin
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://jsonplaceholder.typicode.com/users (HTTP 200, 5645 chars) [ { "id": 1, "name": "Leanne Graham", "username": "Bret", ...
4. T+6.9sstepRunning: cat <<EOF > output.json { "users": [ { ...
5. T+7.0sstepBash completed
6. T+9.6sstepDone: Extracted the first 3 users from jsonplaceholder.typicode.com/users and saved to output.json.
7. T+9.6sstepExtracted the first 3 users from jsonplaceholder.typicode.com/users and saved to output.json.

{
  "loggedIn": true
}

1. T+0.0sstepFill username "testuser" and password "testpass", wait for Turnstile to validate, then click Sign in. Return JSON: { "submitted": true } if successful. Start b
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://demo.turnstile.workers.dev/ (HTTP 200, 180 chars) ## Turnstile ‐ Dummy Login Demo User name Password (dummy) Sign in [See code...
4. T+8.8sstepNavigating to https://demo.turnstile.workers.dev/
5. T+13.1sstepBrowser Navigate: Navigated Current URL: https://demo.turnstile.workers.dev/
6. T+18.7sstepPython: import asyncio
7. T+28.9sstepPython failed: Error executing tool: RuntimeError: Element not found: input[name="user"] Traceback (most recent call last): File "/usr/local/lib/python3.13/si
8. T+32.5sstepRunning JavaScript
9. T+32.6sstepBrowser Evaluate: [{'name': '', 'id': 'user', 'type': 'text', 'placeholder': ''}, {'name': '', 'id': 'pass', 'type': 'password', 'placeholder': ''}, {'name': 'c
10. T+37.0sstepPython: import asyncio
11. T+37.1sstepPython failed: Error executing tool: RuntimeError: Element not found: button[type="submit"] Traceback (most recent call last): File "/usr/local/lib/python3.13
12. T+38.9sstepRunning JavaScript
13. T+39.0sstepBrowser Evaluate: No form found
14. T+40.6sstepRunning JavaScript
15. T+40.7sstepBrowser Evaluate: <pre style="word-wrap: break-word; white-space: pre-wrap;">Turnstile token successfuly validated. {"challenge_ts":"2026-07-08T14:32:48.839Z",
16. T+44.3sstepRunning JavaScript
17. T+44.4sstepBrowser Evaluate: https://demo.turnstile.workers.dev/handler
18. T+50.3sstepDone: Cannot complete task - output.json not found. You must write your structured output to output.json using the write tool before calling done().
19. T+55.3sstepPython: save_output_json({"loggedIn": True})
20. T+55.4sstepPython: ✓ Wrote final output.json
21. T+58.0sstepDone: The login form was filled with "testuser" and "testpass", the Turnstile challenge was solved, and the form was submitted. The redirect to the handl...
22. T+58.0sstepThe login form was filled with "testuser" and "testpass", the Turnstile challenge was solved, and the form was submitted. The redirect to the handler page confi

{
  "intro": "Rust is a general-purpose programming language which emphasizes performance, type safety, concurrency, and memory safety."
}

1. T+0.0sstepExtract the first paragraph of the article. Return JSON: { "intro": string } Start by navigating to: https://en.wikipedia.org/wiki/Rust_(programming_language)
2. T+0.5sstepFetch
3. T+2.2sstepFetch: Fetched https://en.wikipedia.org/wiki/Rust_(programming_language (HTTP 404, 9587 chars) [Jump to content](#bodyContent) Main menu Main menu mov...
4. T+7.7sstepFetch
5. T+9.0sstepFetch: [Output truncated: 13431 tokens exceeded limit of 5000. Full output: /workspace/.ephemeral/truncated-deb45b47.log] {"status": 200, "content_type":...
6. T+14.1sstepNavigating to https://en.wikipedia.org/wiki/Rust_(programming_language)
7. T+18.5sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/Rust_(programming_language)
8. T+22.5sstepPython: import re
9. T+22.7sstepPython: No paragraph found
10. T+26.8sstepRunning JavaScript
11. T+26.9sstepBrowser Evaluate: Not found
12. T+30.0sstepRunning JavaScript
13. T+30.1sstepBrowser Evaluate: ['Rust is a general-purpose programming language which emphasizes performance, type safety, concurrency, and memory safety.', 'Rust supports m
14. T+32.5sstepRunning: echo '{"intro": "Rust is a general-purpose prog...
15. T+32.6sstepBash completed
16. T+34.5sstepDone: Extracted the first paragraph of the Rust (programming language) article: "Rust is a general-purpose programming language which emphasizes performa...
17. T+34.5sstepExtracted the first paragraph of the Rust (programming language) article: "Rust is a general-purpose programming language which emphasizes performance, type saf

{
  "values": [
    "block",
    "contents",
    "flex",
    "flow",
    "flow-root",
    "grid",
    "grid-lanes",
    "inline",
    "inline-block",
    "inline-flex",
    "inline-grid",
    "inline-grid-lanes",
    "inline-table",
    "list-item",
    "math",
    "none",
    "ruby",
    "ruby-base",
    "ruby-base-container",
    "ruby-text",
    "ruby-text-container",
    "run-in",
    "table",
    "table-caption",
    "table-cell",
    "table-column",
    "table-column-group",
    "table-footer-group",
    "table-header-group",
    "table-row",
    "table-row-group"
  ]
}

1. T+0.0sstepExtract the formal syntax values for the CSS display property (e.g. "block", "inline", "flex", "grid", "none"). Return JSON: { "values": string[] } Start by na
2. T+0.5sstepFetch
3. T+1.9sstepFetch: Fetched https://developer.mozilla.org/en-US/docs/Web/CSS/display (HTTP 200, 137081 chars) - [Skip to main content](#content) - [Skip to search](#s...
4. T+8.8sstepPython: import re
5. T+8.9sstepPython failed: Error executing tool: FileNotFoundError: [Errno 2] No such file or directory: 'output_schema' Traceback (most recent call last): File "/usr/loc
6. T+18.5sstepPython: import re
7. T+18.6sstepPython: { "values": [ "block", "contents", "flex", "flow", "flow-root", "grid", "grid-lanes", "inline", "inline-block...
8. T+24.1sstepDone: I have extracted the formal syntax values for the CSS `display` property from the MDN documentation. The values include all keywords defined in the...
9. T+24.1sstepI have extracted the formal syntax values for the CSS `display` property from the MDN documentation. The values include all keywords defined in the formal synta

{
  "tags": [
    "love",
    "inspirational",
    "life",
    "humor",
    "books",
    "reading",
    "friendship",
    "friends",
    "truth",
    "simile"
  ]
}

1. T+0.0sstepExtract the top 10 tags shown in the sidebar tag cloud. Return JSON: { "tags": string[] } Start by navigating to: https://quotes.toscrape.com
2. T+0.5sstepFetch
3. T+1.4sstepFetch: Fetched https://quotes.toscrape.com (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a process...
4. T+6.6sstepPython: import json
5. T+6.7sstepPython: [No output. Variables created: BeautifulSoup, f, html, tags]
6. T+9.4sstepDone: Extracted the top 10 tags from the sidebar tag cloud on https://quotes.toscrape.com. The results have been saved to output.json.
7. T+9.4sstepExtracted the top 10 tags from the sidebar tag cloud on https://quotes.toscrape.com. The results have been saved to output.json.

{
  "version": "v2.9.1",
  "title": "v2.9.1"
}

1. T+0.0sstepExtract the latest release version tag (e.g. "v2.3.1") and its title. Return JSON: { "version": string, "title": string } Start by navigating to: https://githu
2. T+0.5sstepFetch
3. T+2.2sstepFetch: Fetched https://github.com/denoland/deno/releases (HTTP 200, 128216 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle naviga...
4. T+10.3sstepPython: from bs4 import BeautifulSoup
5. T+10.4sstepPython: Navigating to Deno releases...
6. T+12.6sstepNavigating to https://github.com/denoland/deno/releases
7. T+23.2sstepBrowser Navigate: Navigated Current URL: https://github.com/denoland/deno/releases
8. T+29.6sstepPython: js = """
9. T+29.7sstepPython: {'version': 'v2.9.1', 'title': 'Choose a tag to compare'}
10. T+33.3sstepRunning JavaScript
11. T+33.3sstepBrowser Evaluate: Container not found
12. T+37.8sstepPython: js = """
13. T+37.9sstepPython: {'version': 'Sorry, something went wrong.', 'title': 'Sorry, something went wrong.'}
14. T+40.8sstepRunning JavaScript
15. T+40.8sstepBrowser Evaluate: Skip to content Navigation Menu Platform Solutions Resources Open Source Enterprise Pricing Search or jump to... Sign in Sign up denoland / de
16. T+44.7sstepScrolling down 2 page(s)
17. T+46.1sstepBrowser Scroll: Scrolled down 2 page(s). 0px above, 0px below.
18. T+48.8sstepRunning JavaScript
19. T+48.9sstepBrowser Evaluate: Result: [] (empty - JS expression may have returned nothing or selector did not match)
20. T+51.5sstepRunning JavaScript
21. T+51.6sstepBrowser Evaluate: ['Navigation Menu', 'Use saved searches to filter your results more quickly', 'Release list', 'v2.9.1', 'Sorry, something went wrong.', 'Sorry
22. T+56.2sstepRunning JavaScript
23. T+56.2sstepBrowser Evaluate: {'version': 'v2.9.1', 'title': 'v2.9.1'}
24. T+62.2sstepRunning JavaScript
25. T+62.2sstepBrowser Evaluate: {'h2': 'Navigation Menu', 'tag': 'v2.9.1'}
26. T+67.5sstepRunning JavaScript
27. T+67.5sstepBrowser Evaluate: {'text': 'deno-aarch64-apple-darwin.from-2.9.0.bsdiff\nsha256:f3b76eb4d4f26cfaec613770e45e4f5b9387f3f12ed710ccf'}
28. T+73.2sstepFinding text: "v2.9.1"
29. T+73.3sstepBrowser Find Text: Found 5 text match(es) for 'v2.9.1'. Resolved target: tag=a, label="v2.9.1" CSS selector: #item-608cfc51-41d8-4065-8ed9-da9dc00ec165 (unique)
30. T+76.3sstepPython: import json
31. T+76.3sstepPython: Saved to output.json
32. T+79.1sstepDone: The latest release of Deno is v2.9.1. The version tag is "v2.9.1" and the release title is "v2.9.1". The results have been saved to output.json.
33. T+79.1sstepThe latest release of Deno is v2.9.1. The version tag is "v2.9.1" and the release title is "v2.9.1". The results have been saved to output.json.

{
  "title": "A Light in the Attic",
  "price": "£51.77",
  "availability": "In stock (22 available)",
  "reviews": 0
}

1. T+0.0sstepExtract the book title, price, availability, and number of reviews. Return JSON: { "title": string, "price": string, "availability": string, "reviews": number }
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html (HTTP 200, 1711 chars) [Books to Scrape](../../index.html) We lo...
4. T+5.7sstepPython: import json
5. T+5.7sstepPython: [No output. Variables created: data, f]
6. T+8.9sstepDone: The book details have been extracted and saved to output.json. Title: A Light in the Attic Price: £51.77 Availability: In stock (22 available) Revi...
7. T+9.0sstepThe book details have been extracted and saved to output.json. Title: A Light in the Attic Price: £51.77 Availability: In stock (22 available) Reviews: 0

{
  "quotes": [
    {
      "text": "“The world as we have created it is a process of our thinking. It cannot be changed without changing our thinking.”"
    },
    {
      "text": "“There are only two ways to live your life. One is as though nothing is a miracle. The other is as though everything is a miracle.”"
    },
    {
      "text": "“Try not to become a man of success. Rather become a man of value.”"
    }
  ]
}

1. T+0.0sstepExtract all quotes by Albert Einstein on this page (there should be at least 1). Return JSON: { "quotes": [{ "text": string }] } Start by navigating to: https:
2. T+0.5sstepFetch
3. T+2.2sstepFetch: Fetched https://quotes.toscrape.com/page/1/ (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a...
4. T+8.2sstepPython: import json
5. T+8.3sstepPython failed: Error executing tool: RuntimeError: asyncio.run() cannot be called from a running event loop Traceback (most recent call last): File "/usr/loca
6. T+11.4sstepPython: import json
7. T+12.9sstepPython: Extracted 3 quotes by Albert Einstein.
8. T+15.7sstepDone: I have extracted all quotes by Albert Einstein from the first page of https://quotes.toscrape.com/page/1/. The results have been saved to `output.j...
9. T+15.7sstepI have extracted all quotes by Albert Einstein from the first page of https://quotes.toscrape.com/page/1/. The results have been saved to `output.json`. **Extr

{
  "books": [
    {
      "title": "It's Only the Himalayas"
    },
    {
      "title": "Full Moon over Noah’s Ark: An Odyssey to Mount Ararat and Beyond"
    },
    {
      "title": "See America: A Celebration of Our National Parks & Treasured Sites"
    },
    {
      "title": "Vagabonding: An Uncommon Guide to the Art of Long-Term World Travel"
    },
    {
      "title": "Under the Tuscan Sun"
    },
    {
      "title": "A Summer In Europe"
    },
    {
      "title": "The Great Railway Bazaar"
    },
    {
      "title": "A Year in Provence (Provence #1)"
    },
    {
      "title": "The Road to Little Dribbling: Adventures of an American in Britain (Notes From a Small Island #2)"
    },
    {
      "title": "Neither Here nor There: Travels in Europe"
    },
    {
      "title": "1,000 Places to See Before You Die"
    }
  ]
}

1. T+0.0sstepClick on the "Travel" category in the sidebar, then extract all book titles listed. Return JSON: { "books": [{ "title": string }] } Start by navigating to: htt
2. T+0.5sstepFetch
3. T+2.0sstepFetch: Fetched https://books.toscrape.com/ (HTTP 200, 10556 chars) [Books to Scrape](index.html) We love being scraped! - [Home](index.html) - All produ...
4. T+6.7sstepFetch
5. T+7.4sstepFetch: {"status": 200, "content_type": "", "size": 6846, "text": "[Books to Scrape](../../../../index.html) We love being scraped!\n\n- [Home](../../../.....
6. T+12.8sstepPython: import json
7. T+12.9sstepPython: Saved output.json
8. T+14.9sstepDone: I have extracted all 11 book titles from the "Travel" category on books.toscrape.com and saved them to output.json.
9. T+15.0sstepI have extracted all 11 book titles from the "Travel" category on books.toscrape.com and saved them to output.json.

{
  "books": [
    {
      "title": "Sharp Objects",
      "price": "£47.82"
    },
    {
      "title": "In a Dark, Dark Wood",
      "price": "£19.63"
    },
    {
      "title": "The Past Never Ends",
      "price": "£56.50"
    },
    {
      "title": "A Murder in Time",
      "price": "£16.64"
    },
    {
      "title": "The Murder of Roger Ackroyd (Hercule Poirot #4)",
      "price": "£44.10"
    }
  ]
}

1. T+0.0sstepNavigate to the Mystery category and extract the first 5 book titles and prices. Return JSON: { "books": [{ "title": string, "price": string }] } Start by navi
2. T+0.5sstepFetch
3. T+1.7sstepFetch: Fetched https://books.toscrape.com/ (HTTP 200, 10556 chars) [Books to Scrape](index.html) We love being scraped! - [Home](index.html) - All produ...
4. T+6.3sstepFetch
5. T+7.8sstepFetch: {"status": 200, "content_type": "", "size": 9452, "text": "[Books to Scrape](../../../../index.html) We love being scraped!\n\n- [Home](../../../.....
6. T+12.4sstepPython: import json
7. T+12.4sstepPython: [No output. Variables created: books, f]
8. T+16.6sstepDone: I have extracted the first 5 book titles and prices from the Mystery category on books.toscrape.com. The results have been saved to output.json. B...
9. T+16.6sstepI have extracted the first 5 book titles and prices from the Mystery category on books.toscrape.com. The results have been saved to output.json. Books extracte

{
  "title": "A Light in the Attic",
  "price": "£51.77",
  "upc": "a897fe39b1053632",
  "stock": "In stock (22 available)"
}

1. T+0.0sstepClick on the first book shown on the homepage, then extract its full title, price, UPC, and stock availability. Return JSON: { "title": string, "price": string,
2. T+0.5sstepFetch
3. T+2.2sstepFetch: Fetched https://books.toscrape.com/ (HTTP 200, 10556 chars) [Books to Scrape](index.html) We love being scraped! - [Home](index.html) - All produ...
4. T+5.7sstepFetch
5. T+6.3sstepFetch: {"status": 200, "content_type": "", "size": 1711, "text": "[Books to Scrape](../../index.html) We love being scraped!\n\n- [Home](../../index.html)...
6. T+11.1sstepPython: import json
7. T+11.1sstepPython: [No output. Variables created: data, f]
8. T+14.7sstepDone: Extracted the first book's details from https://books.toscrape.com/. The book is "A Light in the Attic" with UPC a897fe39b1053632, priced at £51.77...
9. T+14.7sstepExtracted the first book's details from https://books.toscrape.com/. The book is "A Light in the Attic" with UPC a897fe39b1053632, priced at £51.77, and has 22

{
  "count": 20
}

1. T+0.0sstepCount the number of books displayed on this catalogue page. Return JSON: { "count": number } Start by navigating to: https://books.toscrape.com/catalogue/page-
2. T+0.6sstepFetch
3. T+1.4sstepFetch: Fetched https://books.toscrape.com/catalogue/page-1.html (HTTP 200, 9702 chars) [Books to Scrape](../index.html) We love being scraped! - [Home](...
4. T+7.5sstepPython: import json
5. T+7.6sstepPython: [No output. Variables created: f]
6. T+10.0sstepDone: The catalogue page displays 20 books. The count has been saved to output.json.
7. T+10.0sstepThe catalogue page displays 20 books. The count has been saved to output.json.

{
  "quotes": [
    {
      "text": "“This life is what you make it. No matter what, you're going to mess up sometimes, it's a universal truth. But the good part is you get to decide how you're going to mess it up. Girls will be your friends - they'll act like it anyway. But just remember, some come, some go. The ones that stay with you through everything - they're your true best friends. Don't let go of them. Also remember, sisters make the best friends in the world. As for lovers, well, they'll come and go too. And baby, I hate to say it, most of them - actually pretty much all of them are going to break your heart, but you can't give up because if you give up, you'll never find your soulmate. You'll never find that half who makes you whole and that goes for everything. Just because you fail once, doesn't mean you're gonna fail at everything. Keep trying, hold on, and always, always, always believe in yourself, because if you don't, then who will, sweetie? So keep your head high, keep your chin up, and most importantly, keep smiling, because life's a beautiful thing and there's so much to smile about.”"
    },
    {
      "text": "“It takes a great deal of bravery to stand up to our enemies, but just as much to stand up to our friends.”"
    },
    {
      "text": "“If you can't explain it to a six year old, you don't understand it yourself.”"
    }
  ]
}

1. T+0.0sstepClick the Next page button and extract the first 3 quote texts from page 2. Return JSON: { "quotes": [{ "text": string }] } Start by navigating to: https://quo
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://quotes.toscrape.com/ (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a proces...
4. T+9.0sstepPython: import json
5. T+13.8sstepPython failed: Error executing tool: RuntimeError: Element not found: li.next a Traceback (most recent call last): File "/usr/local/lib/python3.13/site-packag
6. T+18.6sstepPython: import json
7. T+19.8sstepPython: Page 1 loaded Navigating to https://quotes.toscrape.com/page/2/ Extracted 3 quotes from page 2
8. T+23.5sstepDone: Extracted the first 3 quotes from page 2 of https://quotes.toscrape.com/ and saved them to output.json.
9. T+23.5sstepExtracted the first 3 quotes from page 2 of https://quotes.toscrape.com/ and saved them to output.json.

{
  "bornDate": "March 14, 1879",
  "bornPlace": "in Ulm, Germany"
}

1. T+0.0sstepClick on the first author's name link (not the tag), then extract the author's birth date and place from the author detail page. Return JSON: { "bornDate": stri
2. T+0.5sstepFetch
3. T+1.7sstepFetch: Fetched https://quotes.toscrape.com/ (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a proces...
4. T+5.2sstepFetch
5. T+6.2sstepFetch: {"status": 0, "error": "Fetch failed: only HTTPS is supported, got: http"}
6. T+9.1sstepNavigating to https://quotes.toscrape.com/author/Albert-Einstein
7. T+19.6sstepBrowser Navigate: Navigated Current URL: http://quotes.toscrape.com/author/Albert-Einstein/
8. T+22.0sstepPython: import json
9. T+22.2sstepPython: {'bornDate': 'March 14, 1879', 'bornPlace': 'in Ulm, Germany'}
10. T+24.7sstepDone: Extracted birth date and place for Albert Einstein. Date: March 14, 1879, Place: in Ulm, Germany. Results saved to output.json.
11. T+24.7sstepExtracted birth date and place for Albert Einstein. Date: March 14, 1879, Place: in Ulm, Germany. Results saved to output.json.

{
  "count": 14
}

1. T+0.0sstepClick on the "love" tag, then return the number of quotes shown on the filtered page. Return JSON: { "count": number } Start by navigating to: https://quotes.t
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://quotes.toscrape.com/ (HTTP 200, 2964 chars) # [Quotes to Scrape](/) [Login](/login) “The world as we have created it is a proces...
4. T+4.5sstepFetch
5. T+5.9sstepFetch: {"status": 200, "content_type": "", "size": 5017, "text": "# [Quotes to Scrape](/)\n\n[Login](/login)\n\n### Viewing tag: [love](/tag/love/page/1/)...
6. T+9.7sstepFetch
7. T+10.8sstepFetch: {"status": 200, "content_type": "", "size": 1736, "text": "# [Quotes to Scrape](/)\n\n[Login](/login)\n\n### Viewing tag: [love](/tag/love/page/1/)...
8. T+15.2sstepPython: from bs4 import BeautifulSoup
9. T+15.3sstepPython failed: Error executing tool: RuntimeError: asyncio.run() cannot be called from a running event loop Traceback (most recent call last): File "/usr/loca
10. T+19.2sstepPython: from bs4 import BeautifulSoup
11. T+21.0sstepPython: {'page1': 10, 'page2': 4, 'total': 14}
12. T+23.3sstepRunning: echo '{"count": 14}' > output.json
13. T+23.4sstepBash completed
14. T+25.7sstepDone: The number of quotes with the "love" tag on https://quotes.toscrape.com/ is 14. There are 10 quotes on the first page and 4 on the second page. The...
15. T+25.7sstepThe number of quotes with the "love" tag on https://quotes.toscrape.com/ is 14. There are 10 quotes on the first page and 4 on the second page. The result has b

{
  "intro": "ECMAScript (/ˈɛkməskrɪpt/; ES) is the standard for the JavaScript language, intended to ensure the interoperability of web pages across different web browsers. It is standardized by Ecma International's TC39 technical committee in the document ECMA-262, with i18n (\"Intl\") APIs standardized in the document ECMA-402."
}

1. T+0.0sstepClick on the "ECMAScript" link in the article and extract the first paragraph of the resulting page. Return JSON: { "intro": string } Start by navigating to: h
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://en.wikipedia.org/wiki/JavaScript (HTTP 200, 180426 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar h...
4. T+6.3sstepFetch
5. T+7.7sstepFetch: [Output truncated: 13222 tokens exceeded limit of 5000. Full output: /workspace/.ephemeral/truncated-71d736a4.log] {"status": 200, "content_type":...
6. T+16.4sstepPython: import re
7. T+17.4sstepPython failed: Error executing tool: AttributeError: 'NoneType' object has no attribute 'get_text' Traceback (most recent call last): File "/usr/local/lib/pyt
8. T+20.3sstepPython: from bs4 import BeautifulSoup
9. T+21.1sstepPython: Found 0 paragraphs as direct children of .mw-parser-output
10. T+24.7sstepPython: from bs4 import BeautifulSoup
11. T+25.7sstepPython: Title: ECMAScript - Wikipedia Total paragraphs found: 18 Para 0: ECMAScript (/ˈɛkməskrɪpt/; ES)[1] is the standard for the JavaScript language, int...
12. T+30.9sstepPython: import re
13. T+31.5sstepPython: ✓ Wrote final output.json ECMAScript (/ˈɛkməskrɪpt/; ES) is the standard for the JavaScript language, intended to ensure the interoperability of we...
14. T+35.8sstepDone: I navigated to the JavaScript Wikipedia page, identified the ECMAScript link, and fetched the ECMAScript page. I extracted the first paragraph of t...
15. T+35.8sstepI navigated to the JavaScript Wikipedia page, identified the ECMAScript link, and fetched the ECMAScript page. I extracted the first paragraph of the ECMAScript

{
  "designer": "Guido van Rossum",
  "firstAppeared": "20 February 1991",
  "stableRelease": "3.14.6 / 10 June 2026"
}

1. T+0.0sstepExtract from the infobox on the right side: the designer name, the date of first appearance, and the current stable release version. Return JSON: { "designer":
2. T+0.5sstepFetch
3. T+2.9sstepFetch: Fetched https://en.wikipedia.org/wiki/Python_(programming_language (HTTP 404, 9679 chars) [Jump to content](#bodyContent) Main menu Main menu m...
4. T+6.6sstepFetch
5. T+8.7sstepFetch: [Output truncated: 14166 tokens exceeded limit of 5000. Full output: /workspace/.ephemeral/truncated-b57cd4e9.log] {"status": 200, "content_type":...
6. T+13.9sstepNavigating to https://en.wikipedia.org/wiki/Python_(programming_language)
7. T+17.8sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/Python_(programming_language)
8. T+21.4sstepPython: import re
9. T+21.9sstepPython: {'firstAppeared': '20February 1991;35 years ago(1991-02-20)', 'stableRelease': '3.14.6/ 10 June 2026;28 days ago(10 June 2026)'}
10. T+28.4sstepPython: from bs4 import BeautifulSoup
11. T+28.4sstepPython: {'designer': 'Guido van Rossum', 'firstAppeared': '20 February 1991 ; 35 years ago ( 1991-02-20 ) [ 2 ]', 'stableRelease': ''}
12. T+32.4sstepPython: html = await browser.get_html('.infobox')
13. T+32.5sstepPython: <!-- get_html(.infobox) returned empty. If the page is visibly populated, prefer `browser.evaluate("document.body.innerHTML")`, `browser_discover_d...
14. T+36.3sstepPython: js = """
15. T+36.4sstepPython: {'firstAppeared': '20\xa0February 1991; 35 years ago[2]', 'stableRelease': '3.14.6[3]\xa0 / 10 June 2026; 28 days ago'}
16. T+42.5sstepPython: js = """
17. T+42.6sstepPython: {'firstAppeared': '20\xa0February 1991; 35 years ago[2]', 'stableRelease': '3.14.6[3]\xa0 / 10 June 2026; 28 days ago'}
18. T+46.6sstepPython: js = """
19. T+46.7sstepPython: [{'label': 'Paradigm', 'value': 'Multi-paradigm: object-oriented,[1] procedural (imperative), functional, structured, reflective'}, {'label': 'Desi...
20. T+51.7sstepPython: import re
21. T+51.8sstepPython: {'designer': 'Guido van Rossum', 'firstAppeared': '20 February 1991', 'stableRelease': '3.14.6 / 10 June 2026'}
22. T+56.7sstepDone: I have extracted the required information from the Python (programming language) Wikipedia page infobox. - **Designer**: Guido van Rossum - **Firs...
23. T+56.8sstepI have extracted the required information from the Python (programming language) Wikipedia page infobox. - **Designer**: Guido van Rossum - **First Appeared**:

{
  "count": 70
}

1. T+0.0sstepScroll to the References section and count how many references are listed. Return JSON: { "count": number } Start by navigating to: https://en.wikipedia.org/wi
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://en.wikipedia.org/wiki/HTTP (HTTP 200, 163716 chars) [Jump to content](#bodyContent) Main menu Main menu move to sidebar hide N...
4. T+6.4sstepPython: from bs4 import BeautifulSoup
5. T+7.2sstepPython: Number of references found: 0
6. T+11.2sstepNavigating to https://en.wikipedia.org/wiki/HTTP
7. T+20.3sstepBrowser Navigate: Navigated Current URL: https://en.wikipedia.org/wiki/HTTP
8. T+23.8sstepPython: from bs4 import BeautifulSoup
9. T+24.2sstepPython: Total references count: 72
10. T+28.2sstepPython: from bs4 import BeautifulSoup
11. T+28.7sstepPython: {'Contents': 0, 'Page version status': 0, 'Versions': 0, 'Use': 0, 'Technology': 0, 'Message format': 0, 'Similar protocols': 0, 'History': 0, 'See...
12. T+33.9sstepPython: from bs4 import BeautifulSoup
13. T+34.3sstepPython: References section count: 0 Notes section count: 0
14. T+39.2sstepPython: from bs4 import BeautifulSoup
15. T+39.5sstepPython: Total ol.references elements: 2 List 0 has 2 items List 1 has 70 items
16. T+44.0sstepPython: from bs4 import BeautifulSoup
17. T+44.3sstepPython: Notes count: 0 References count: 0
18. T+48.1sstepPython: html = await browser.get_html()
19. T+48.3sstepPython: id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=HTTP&amp;actio...
20. T+54.1sstepPython: from bs4 import BeautifulSoup
21. T+54.4sstepPython: Final References count: 70
22. T+59.6sstepPython: from bs4 import BeautifulSoup
23. T+59.9sstepPython: Notes: 2 References: 70
24. T+64.3sstepDone: The "References" section of the Wikipedia article for HTTP contains 70 listed references. The "Notes" section, which precedes it, contains an addit...
25. T+64.4sstepThe "References" section of the Wikipedia article for HTTP contains 70 listed references. The "Notes" section, which precedes it, contains an additional 2 items

{
  "title": "Decoding the obfuscated bash script on a Uniqlo t-shirt",
  "commentCount": 143
}

1. T+0.0sstepClick on the comments link of the top story and extract the title of that story and the number of comments. Return JSON: { "title": string, "commentCount": numb
2. T+0.5sstepFetch
3. T+1.4sstepFetch: Fetched https://news.ycombinator.com/ (HTTP 200, 11037 chars) [](https://news.ycombinator.com)[**Hacker News**](news)[new](newest) | [...
4. T+8.9sstepPython: import json
5. T+19.2sstepPython: [No output. Variables created: f, html, output]
6. T+24.3sstepDone: Extracted the top story title "Decoding the obfuscated bash script on a Uniqlo t-shirt" and its comment count (143) from Hacker News. Results saved...
7. T+24.3sstepExtracted the top story title "Decoding the obfuscated bash script on a Uniqlo t-shirt" and its comment count (143) from Hacker News. Results saved to output.js

{
  "stories": [
    {
      "title": "Ask HN: What features do you want in a free online timer?"
    },
    {
      "title": "America's Greatest Hot Dog"
    },
    {
      "title": "Running Kubernetes without C in Rust-based Asterinas kernel"
    }
  ]
}

1. T+0.0sstepClick the "new" link in the top navigation, then extract the top 3 story titles. Return JSON: { "stories": [{ "title": string }] } Start by navigating to: http
2. T+0.5sstepFetch
3. T+1.3sstepFetch: Fetched https://news.ycombinator.com/ (HTTP 200, 11037 chars) [](https://news.ycombinator.com)[**Hacker News**](news)[new](newest) | [...
4. T+6.4sstepFetch
5. T+6.9sstepFetch: {"status": 200, "content_type": "", "size": 16753, "text": "[](https://news.ycombinator.com)[**Hacker News**](news)[new](newest) | [pas...
6. T+10.8sstepPython: import json
7. T+10.9sstepPython: [No output. Variables created: f, stories]
8. T+14.3sstepDone: I have extracted the top 3 story titles from the "new" section of Hacker News and saved them to output.json. The titles are: 1. Ask HN: What featu...
9. T+14.3sstepI have extracted the top 3 story titles from the "new" section of Hacker News and saved them to output.json. The titles are: 1. Ask HN: What features do you wa

{
  "karma": 41019,
  "createdDate": "August 18, 2007"
}

1. T+0.0sstepExtract the user's karma score and account creation date. Return JSON: { "karma": number, "createdDate": string } Start by navigating to: https://news.ycombina
2. T+0.5sstepFetch
3. T+1.6sstepFetch: Fetched https://news.ycombinator.com/user?id=dang (HTTP 200, 1410 chars) [](https://news.ycombinator.com)[**Hacker News**](news)[new](...
4. T+6.9sstepPython: import json
5. T+7.0sstepPython: [No output. Variables created: data, f]
6. T+10.2sstepDone: The karma and account creation date for user 'dang' have been extracted and saved to output.json. Karma: 41019 Created Date: August 18, 2007
7. T+10.2sstepThe karma and account creation date for user 'dang' have been extracted and saved to output.json. Karma: 41019 Created Date: August 18, 2007

{
  "description": "TypeScript is a superset of JavaScript that compiles to clean JavaScript output.",
  "language": "TypeScript"
}

1. T+0.0sstepExtract the repository description (the tagline at the top) and the programming language used. Return JSON: { "description": string, "language": string } Start
2. T+0.5sstepFetch
3. T+1.4sstepFetch: Fetched https://github.com/microsoft/TypeScript (HTTP 200, 18658 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle navigatio...
4. T+8.6sstepPython: import json
5. T+8.7sstepPython: [No output. Variables created: f, result]
6. T+10.7sstepDone: I have extracted the repository description and primary language for microsoft/TypeScript. The description is "TypeScript is a superset of JavaScri...
7. T+10.8sstepI have extracted the repository description and primary language for microsoft/TypeScript. The description is "TypeScript is a superset of JavaScript that compi

{
  "issues": [
    {
      "title": "Look at potential automation to help PR non-collaborators acquire PR test results"
    },
    {
      "title": "Change releasing guide to consistently use \"promote\" over \"publish\""
    },
    {
      "title": "[Test Runner] run() ignores testNamePatterns / testSkipPatterns when isolation: 'none'"
    }
  ]
}

1. T+0.0sstepClick on the Issues tab and extract the titles of the top 3 open issues. Return JSON: { "issues": [{ "title": string }] } Start by navigating to: https://githu
2. T+0.5sstepFetch
3. T+1.7sstepFetch: Fetched https://github.com/nodejs/node (HTTP 200, 68951 chars) [Skip to content](#start-of-content) ## Navigation Menu Toggle navigation [](/) ...
4. T+5.1sstepFetch
5. T+6.2sstepFetch: {"status": 200, "content_type": "", "size": 14731, "text": "[Skip to content](#start-of-content)\n\n## Navigation Menu\n\nToggle navigation\n\n[](/...
6. T+8.5sstepRunning: echo '{"issues": [{"title": "Look at potential ...
7. T+8.5sstepBash completed
8. T+10.7sstepDone: I have extracted the top 3 open issues from the Node.js repository. The titles are: 1. Look at potential automation to help PR non-collaborators ac...
9. T+10.7sstepI have extracted the top 3 open issues from the Node.js repository. The titles are: 1. Look at potential automation to help PR non-collaborators acquire PR test

{
  "methods": [
    "at",
    "concat",
    "copyWithin",
    "entries",
    "every"
  ]
}

1. T+0.0sstepExtract the first 5 method names from the instance methods section. Return JSON: { "methods": [string] } Start by navigating to: https://developer.mozilla.org/
2. T+0.5sstepFetch
3. T+1.7sstepFetch: Fetched https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array (HTTP 200, 74798 chars) - [Skip to main content](#c...
4. T+6.4sstepNavigating to https://developer.mozilla.org/en-US/docs/Web/JavaScript/R...
5. T+14.4sstepBrowser Navigate: Navigated Current URL: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
6. T+17.7sstepPython: results = await browser.evaluate("""
7. T+17.7sstepPython: ['constructor', 'at', 'concat', 'copyWithin', 'entries']
8. T+21.7sstepPython: html_snippet = await browser.evaluate("""
9. T+21.8sstepPython: <section class="content-section" aria-labelledby="examples"> <!--lit-part cjTOnCoGGWc=--><!--lit-node 0--><h2 id="examples" class="heading"><!-...
10. T+24.5sstepPython: methods_data = await browser.evaluate("""
11. T+24.6sstepPython: ['Array.prototype.at()', 'Array.prototype.concat()', 'Array.prototype.copyWithin()', 'Array.prototype.entries()', 'Array.prototype.every()', 'Array...
12. T+26.6sstepPython: methods = ['at', 'concat', 'copyWithin', 'entri...
13. T+26.7sstepPython: ✓ Wrote final output.json
14. T+28.4sstepDone: The first 5 method names from the "Instance methods" section of the MDN Array documentation are: at, concat, copyWithin, entries, and every. The re...
15. T+28.4sstepThe first 5 method names from the "Instance methods" section of the MDN Array documentation are: at, concat, copyWithin, entries, and every. The result has been

{
  "parameters": [
    "resource",
    "options"
  ]
}

1. T+0.0sstepExtract the parameters listed for the fetch() function. Return JSON: { "parameters": [string] } Start by navigating to: https://developer.mozilla.org/en-US/doc
2. T+0.6sstepFetch
3. T+1.5sstepFetch: Fetched https://developer.mozilla.org/en-US/docs/Web/API/fetch (HTTP 200, 28311 chars) - [Skip to main content](#content) - [Skip to search](#sear...
4. T+5.0sstepPython: import json
5. T+5.0sstepPython: Saved parameters to output.json
6. T+6.8sstepDone: I have extracted the parameters for the fetch() function from the MDN documentation. The parameters are "resource" and "options". The results have ...
7. T+6.8sstepI have extracted the parameters for the fetch() function from the MDN documentation. The parameters are "resource" and "options". The results have been saved to

{
  "version": "19.2.7",
  "weeklyDownloads": "143,874,455"
}

1. T+0.0sstepExtract the current version number and weekly download count. Return JSON: { "version": string, "weeklyDownloads": string } Start by navigating to: https://www
2. T+0.5sstepFetch
3. T+1.2sstepFetch: Fetched https://www.npmjs.com/package/react (HTTP 403, 0 chars)
4. T+2.9sstepNavigating to https://www.npmjs.com/package/react
5. T+6.9sstepBrowser Navigate: Navigated Current URL: https://www.npmjs.com/package/react
6. T+8.1sstepBrowser Discover Data Sources
7. T+8.2sstepBrowser Discover Data Sources: { "url": "https://www.npmjs.com/package/react", "title": "react - npm", "focus_selector": null, "focus_found": false, "
8. T+10.8sstepPython: import json
9. T+11.0sstepPython: Regex failed, trying BeautifulSoup/Selectors Probes: {'h3:contains("Version") + p': {'count': 0, 'error': 'Failed to execute \'querySelectorAll\' o...
10. T+14.5sstepPython: import json
11. T+14.7sstepPython failed: Error executing tool: SelectorSyntaxError: ':has-text' was detected as a pseudo-class and is either unsupported or invalid. If the syntax was not
12. T+17.2sstepPython: import json
13. T+17.4sstepPython: Eval version: None {"version": "Unknown", "weeklyDownloads": "Unknown"} ✓ Wrote final output.json
14. T+19.3sstepRunning JavaScript
15. T+19.3sstepBrowser Evaluate: {"weeklyDownloads":"143,874,455","version":"19.2.7"}
16. T+20.7sstepPython: import json
17. T+21.0sstepPython: ✓ Wrote final output.json
18. T+22.3sstepDone: Extracted the current version number (19.2.7) and weekly download count (143,874,455) for the 'react' package from npm. Results saved to output.json.
19. T+22.4sstepExtracted the current version number (19.2.7) and weekly download count (143,874,455) for the 'react' package from npm. Results saved to output.json.

{
  "maintainer": "jdalton",
  "license": "MIT"
}

1. T+0.0sstepExtract the package maintainer and the license type. Return JSON: { "maintainer": string, "license": string } Start by navigating to: https://www.npmjs.com/pac
2. T+0.5sstepFetch
3. T+2.4sstepFetch: Fetched https://www.npmjs.com/package/lodash (HTTP 403, 0 chars)
4. T+4.5sstepNavigating to https://www.npmjs.com/package/lodash
5. T+10.1sstepBrowser Navigate: Navigated Current URL: https://www.npmjs.com/package/lodash
6. T+11.2sstepBrowser Discover Data Sources
7. T+11.3sstepBrowser Discover Data Sources: { "url": "https://www.npmjs.com/package/lodash", "title": "lodash - npm", "focus_selector": null, "focus_found": false,
8. T+14.4sstepPython: import json
9. T+14.5sstepPython: Maintainers: ['jdalton'] License: MIT
10. T+16.1sstepDone: The package maintainer for lodash is 'jdalton' and the license type is 'MIT'. Results have been saved to output.json.
11. T+16.1sstepThe package maintainer for lodash is 'jdalton' and the license type is 'MIT'. Results have been saved to output.json.

{
  "author": "Herman Melville",
  "title": "Moby-Dick"
}

1. T+0.0sstepExtract the author and title from the page. Return JSON: { "author": string, "title": string } Start by navigating to: https://httpbin.org/html
2. T+0.5sstepFetch
3. T+2.4sstepFetch: Fetched https://httpbin.org/html (HTTP 503, 37 chars) # 503 Service Temporarily Unavailable
4. T+4.8sstepNavigating to https://httpbin.org/html
5. T+8.9sstepBrowser Navigate: Navigated Current URL: https://httpbin.org/html
6. T+10.3sstepBrowser Discover Data Sources
7. T+22.0sstepBrowser Discover Data Sources: { "url": "https://httpbin.org/html", "title": "", "focus_selector": null, "focus_found": false, "classifiers": [], "p
8. T+26.0sstepPython: import json
9. T+26.1sstepPython: Extracted: {'author': 'Herman Melville', 'title': 'Moby-Dick'}
10. T+27.6sstepDone: The author and title were extracted from the page. Results saved to output.json. Author: Herman Melville Title: Moby-Dick
11. T+27.7sstepThe author and title were extracted from the page. Results saved to output.json. Author: Herman Melville Title: Moby-Dick