head to head · open source

Crawl4AI vs Scrapegraph-ai

Crawl4AI has 86,783 GitHub stars, 9,043 forks, 188 open issues and last shipped yesterday. Scrapegraph-ai has 32,439 stars, 3,313 forks, 16 open issues and last shipped 28 days ago. Crawl4AI leads on adoption by 168% (86,783 vs 32,439 stars). Crawl4AI is written in Python under Apache-2.0; Scrapegraph-ai is written in Python under MIT. Crawl4AI has attracted 10% as many forks as stars, Scrapegraph-ai 10%. Crawl4AI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 5 topic tags (crawler, data-extraction, llm, markdown), 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.

Crawl4AI ★ 87K Scrapegraph-ai ★ 32K category Data & Analytics

← all 20902 open source comparisons

Side by side

Crawl4AI Scrapegraph-ai
GitHub stars ★ 87K ★ 32K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-02 2026-10-06
Forks ⑂ 9.0K ⑂ 3.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Crawl4AI if

  • You weight community size — 87K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Crawl4AI 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 Crawl4AI

🚀🤖 Crawl4AI: Open source LLM Friendly Web Crawler & Scraper. 🚀 Crawl4AI Cloud API — Closed Beta (Launching Soon) Reliable, large scale web extraction, now built to be drastically more cost effective than any of the existing solutions. 👉 Apply here for early access We’ll be onboarding in phases and working closely with early users. Limited slots. Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community. ✨ Check out latest update v0.9.3 ✨ New in v0.9.3 : Security release. Closes five coordinated disclosure advisories…

read the full Crawl4AI 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 →

More in Data & Analytics

Related comparisons

More Data Extraction & Web Scraping projects

Compare either of these against the rest of the Data Extraction & Web Scraping field.

Frequently asked questions

Is Crawl4AI or Scrapegraph-ai more popular?

Crawl4AI has 86,783 GitHub stars and Scrapegraph-ai has 32,439. Crawl4AI has the larger community by that measure.

Are Crawl4AI and Scrapegraph-ai free?

Both are open source. Crawl4AI is licensed under Apache-2.0 and Scrapegraph-ai under MIT. Neither carries a licence fee.

What is the difference between Crawl4AI and Scrapegraph-ai?

Crawl4AI 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, Crawl4AI or Scrapegraph-ai?

Choose Crawl4AI if you want the larger community (86,783 stars) or its Apache-2.0 licence terms. Choose Scrapegraph-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.