head to head · open source

Scrapegraph-ai vs webclaw

Scrapegraph-ai has 32,473 GitHub stars, 3,317 forks, 16 open issues and last shipped 1 months ago. webclaw has 2,425 stars, 242 forks, 3 open issues and last shipped 2 days ago. Scrapegraph-ai leads on adoption by 1,239% (32,473 vs 2,425 stars). Scrapegraph-ai is written in Python under MIT; webclaw is written in Rust under AGPL-3.0. Scrapegraph-ai has attracted 10% as many forks as stars, webclaw 10%. webclaw was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-scraping, firecrawl-alternative, 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.

Scrapegraph-ai ★ 32K webclaw ★ 2.4K category Data & Analytics

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Side by side

Scrapegraph-ai webclaw
GitHub stars ★ 32K ★ 2.4K
License MIT AGPL-3.0
Written in Python Rust
Last push 2026-10-06 2026-11-03
Forks ⑂ 3.3K ⑂ 242
Self-hosting Yes Yes
Data ownership Your server Your server

pick Scrapegraph-ai if

  • You weight community size — 32K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Scrapegraph-ai profile →

pick webclaw if

  • You want the webclaw feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Rust
  • You evaluated both and webclaw fits your workflow better

full webclaw profile →

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 webclaw

English 简体中文 webclaw Turn websites into clean markdown, JSON, and LLM ready context. CLI, MCP server, REST API, and SDKs for AI agents and RAG pipelines. Most web scraping tools give your agent one of two bad outputs: a blocked page, login wall, or empty app shell raw HTML full of nav, scripts, styling, ads, and duplicated boilerplate webclaw.io is the hosted web extraction API for webclaw. This repo contains the open source CLI, MCP server, extraction engine, and self hostable server. webclaw turns a URL into clean content your tools can actually use. Use it from the terminal, wire it into Claude/Cursor through…

read the full webclaw overview →

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Frequently asked questions

Is Scrapegraph-ai or webclaw more popular?

Scrapegraph-ai has 32,473 GitHub stars and webclaw has 2,425. Scrapegraph-ai has the larger community by that measure.

Are Scrapegraph-ai and webclaw free?

Both are open source. Scrapegraph-ai is licensed under MIT and webclaw under AGPL-3.0. Neither carries a licence fee.

What is the difference between Scrapegraph-ai and webclaw?

Scrapegraph-ai is written in Python and webclaw in Rust. 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 webclaw?

Choose Scrapegraph-ai if you want the larger community (32,473 stars) or its MIT licence terms. Choose webclaw if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.