head to head · open source
Crawl4AI vs Scrapegraph-ai
Crawl4AI has 83,747 GitHub stars, 8,660 forks, 188 open issues and last shipped 2 days ago. Scrapegraph-ai has 31,056 stars, 3,126 forks, 16 open issues and last shipped 11 days ago. Crawl4AI leads on adoption by 170% (83,747 vs 31,056 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.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 8884 open source comparisons
Side by side
| Crawl4AI | Scrapegraph-ai | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 31K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-16 | 2026-09-07 |
| Forks | ⑂ 8.7K | ⑂ 3.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Crawl4AI if
- You weight community size — 84K 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
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
About Crawl4AI
Crawl4AI is an open source web crawler and scraper designed to prepare website content for large language model (LLM) workflows. It lives in the Python ecosystem and targets data extraction for RAG, agents, and AI pipelines. Unlike many tools that require API keys or paid subscriptions, Crawl4AI provides direct, self hosted access to web content with output structured specifically for LLM consumption.
read the full Crawl4AI overview →
About Scrapegraph-ai
ScrapeGraphAI is an open source Python library for web scraping that combines large language models with direct graph logic to build scraping pipelines. It lives in the Python ecosystem and is distributed under the MIT license, with the reference package published on PyPI as scrapegraphai . Rather than requiring a developer to hand write selectors for every page, the library accepts a natural language prompt describing the information to extract, alongside a source URL or local document, and returns structured results. It is designed around the idea expressed in its own tagline, "You Only Scrape Once," meaning th…
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 83,747 GitHub stars and Scrapegraph-ai has 31,056. 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 (83,747 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.