head to head · open source
Scrapegraph-ai vs Steel
Scrapegraph-ai has 32,473 GitHub stars, 3,317 forks, 16 open issues and last shipped 1 months ago. Steel has 7,916 stars, 1,004 forks, 68 open issues and last shipped 2 days ago. Scrapegraph-ai leads on adoption by 310% (32,473 vs 7,916 stars). Scrapegraph-ai is written in Python under MIT; Steel is written in TypeScript under Apache-2.0. Scrapegraph-ai has attracted 10% as many forks as stars, Steel 13%. Steel 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 | Steel | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 7.9K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-06 | 2026-11-03 |
| Forks | ⑂ 3.3K | ⑂ 1.0K |
| 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
pick Steel if
- You want the Steel feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and Steel 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 Steel
Steel The open source browser API for AI agents & apps. The best way to build live web agents and browser automation tools. Get Started · Documentation · Website · Cookbook ✨ Highlights Steel.dev is an open source browser API that makes it easy to build AI apps and agents that interact with the web. Instead of building automation infrastructure from scratch, you can focus on your AI application while Steel handles the complexity. Under the hood, it manages sessions, pages, and browser processes, allowing you to perform complex browsing tasks programmatically without any of the headaches: Full Browser Control…
read the full Steel overview →
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Frequently asked questions
Is Scrapegraph-ai or Steel more popular?
Scrapegraph-ai has 32,473 GitHub stars and Steel has 7,916. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and Steel free?
Both are open source. Scrapegraph-ai is licensed under MIT and Steel under Apache-2.0. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and Steel?
Scrapegraph-ai is written in Python and Steel in TypeScript. 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 Steel?
Choose Scrapegraph-ai if you want the larger community (32,473 stars) or its MIT licence terms. Choose Steel if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.