head to head · open source
Scrapegraph-ai vs BrowserKitten
Scrapegraph-ai has 32,580 GitHub stars, 3,324 forks, 16 open issues and last shipped 1 months ago. BrowserKitten has 2,381 stars, 10 forks, 2 open issues and last shipped 2 days ago. Scrapegraph-ai leads on adoption by 1,268% (32,580 vs 2,381 stars). Scrapegraph-ai is written in Python under MIT; BrowserKitten is written in JavaScript under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, BrowserKitten 0%. BrowserKitten 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.
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Side by side
| Scrapegraph-ai | BrowserKitten | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 2.4K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-10-06 | 2026-11-05 |
| Forks | ⑂ 3.3K | ⑂ 10 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapegraph-ai if
- You weight community size — 33K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick BrowserKitten if
- You want the BrowserKitten feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and BrowserKitten fits your workflow better
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 →
About BrowserKitten
Browser Kitten An agent for the browser you already use. Read signed in pages, take action, create files, and follow up locally. English · 简体中文 Quick start · Configuration · Documentation · Current limits · Contribute · Issues Browser Kitten is an MIT licensed Chrome MV3 extension with an agent in the side panel. It works with your existing browser session and keeps conversations, workspace files, and follow up tasks on this computer. Model and other provider requests use the services you configure. Current source version: 1.2.0 · Load unpacked · No build step for installation. What you can do See the actual…
read the full BrowserKitten overview →
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Frequently asked questions
Is Scrapegraph-ai or BrowserKitten more popular?
Scrapegraph-ai has 32,580 GitHub stars and BrowserKitten has 2,381. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and BrowserKitten free?
Both are open source. Scrapegraph-ai is licensed under MIT and BrowserKitten under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and BrowserKitten?
Scrapegraph-ai is written in Python and BrowserKitten in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Scrapegraph-ai or BrowserKitten?
Choose Scrapegraph-ai if you want the larger community (32,580 stars) or its MIT licence terms. Choose BrowserKitten if its feature set, stack or MIT licence fits better. Both are self-hostable.