head to head · open source

Browser Use vs Scrapegraph-ai

Browser Use has 119,977 GitHub stars, 13,371 forks, 421 open issues and last shipped 3 days ago. Scrapegraph-ai has 32,473 stars, 3,317 forks, 16 open issues and last shipped 1 months ago. Browser Use leads on adoption by 269% (119,977 vs 32,473 stars). Browser Use is written in Python under MIT; Scrapegraph-ai is written in Python under MIT. Browser Use has attracted 11% as many forks as stars, Scrapegraph-ai 10%. Browser Use was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Browser Use ★ 120K Scrapegraph-ai ★ 32K category Data & Analytics

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Side by side

Browser Use Scrapegraph-ai
GitHub stars ★ 120K ★ 32K
License MIT MIT
Written in Python Python
Last push 2026-11-02 2026-10-06
Forks ⑂ 13K ⑂ 3.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Browser Use if

  • You weight community size — 120K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Browser Use profile →

pick Scrapegraph-ai if

  • You want the Scrapegraph-ai feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and Scrapegraph-ai fits your workflow better

full Scrapegraph-ai profile →

About Browser Use

Navigate the web like a human does. Find an available slot, pick a date and time, handle the CAPTCHA, and book a driving test. Explore more demos and prompts ↗ Which Browser Use do I need? Path 1: Fully Hosted Cloud: Scale up with a fully hosted agent and browser. Path 2: CLI: Automate your own browser tasks. Path 3: Python Library: Run the open source Browser Use agent locally from your own code. Quickstart Path 1: Fully Hosted Cloud Scale browser automation with our hosted agent, stealth browsers, and infrastructure for profiles, recordings, and data policies. Get started with the API ↗ New Google, GitHub, or…

read the full Browser Use overview →

About Scrapegraph-ai

🚀 Looking for an even faster and simpler way to scrape at scale (only 5 lines of code)? Check out our enhanced version at ScrapeGraphAI.com ! 🚀 🕷️ ScrapeGraphAI: You Only Scrape Once English 中文 日本語 한국어 Русский Türkçe Deutsch Español français Português Italiano ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you! 🚀 Integrations ScrapeGraphAI offers seamless integration with popular frameworks and tools…

read the full Scrapegraph-ai overview →

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Frequently asked questions

Is Browser Use or Scrapegraph-ai more popular?

Browser Use has 119,977 GitHub stars and Scrapegraph-ai has 32,473. Browser Use has the larger community by that measure.

Are Browser Use and Scrapegraph-ai free?

Both are open source. Browser Use is licensed under MIT and Scrapegraph-ai under MIT. Neither carries a licence fee.

What is the difference between Browser Use and Scrapegraph-ai?

Browser Use is written in Python and Scrapegraph-ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Browser Use or Scrapegraph-ai?

Choose Browser Use if you want the larger community (119,977 stars) or its MIT licence terms. Choose Scrapegraph-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.