head to head · open source
scrapy vs Scrapegraph-ai
scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. Scrapegraph-ai has 32,439 stars, 3,313 forks, 16 open issues and last shipped 28 days ago. scrapy leads on adoption by 101% (65,180 vs 32,439 stars). scrapy is written in Python under BSD-3-Clause; Scrapegraph-ai is written in Python under MIT. scrapy has attracted 19% as many forks as stars, Scrapegraph-ai 10%. scrapy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (crawler, scraping), 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
| scrapy | Scrapegraph-ai | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 32K |
| License | BSD-3-Clause | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-06 |
| Forks | ⑂ 12K | ⑂ 3.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick scrapy if
- You weight community size — 65K stars and counting
- You want the BSD-3-Clause 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 scrapy
.. logo image:: :target: :alt: Scrapy :width: 480px .. version image:: :target: :alt: PyPI Version .. python version image:: :target: :alt: Supported Python Versions .. tests image:: :target: :alt: Tests .. coverage image:: :target: :alt: Coverage report .. conda image:: :target: :alt: Conda Version .. deepwiki image:: :target: :alt: Ask DeepWiki Scrapy is a web scraping framework to extract structured data from websites. It is cross platform, and requires Python 3.10+. It is maintained by Zyte (formerly Scrapinghub) and many other contributors . .. many other contributors: .. Scrapy: .. Zyte: Install with…
read the full scrapy 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 →
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Frequently asked questions
Is scrapy or Scrapegraph-ai more popular?
scrapy has 65,180 GitHub stars and Scrapegraph-ai has 32,439. scrapy has the larger community by that measure.
Are scrapy and Scrapegraph-ai free?
Both are open source. scrapy is licensed under BSD-3-Clause and Scrapegraph-ai under MIT. Neither carries a licence fee.
What is the difference between scrapy and Scrapegraph-ai?
scrapy 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, scrapy or Scrapegraph-ai?
Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose Scrapegraph-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.