head to head · open source
Scrapegraph-ai vs recipe-scrapers
Scrapegraph-ai has 32,439 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. recipe-scrapers has 2,261 stars, 680 forks, 131 open issues and last shipped 3 days ago. Scrapegraph-ai leads on adoption by 1,335% (32,439 vs 2,261 stars). Scrapegraph-ai is written in Python under MIT; recipe-scrapers is written in Python under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, recipe-scrapers 30%. recipe-scrapers was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-extraction), 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 | recipe-scrapers | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 2.3K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-06 | 2026-10-31 |
| Forks | ⑂ 3.3K | ⑂ 680 |
| 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 recipe-scrapers if
- You want the recipe-scrapers feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and recipe-scrapers 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 recipe-scrapers
================= recipe scrapers ================= .. image:: :target: :alt: Github .. image:: :target: :alt: Version .. image:: :target: :alt: PyPI Python Version .. image:: :target: unittests :alt: GitHub Actions Unittests .. image:: :target: :alt: Coveralls .. image:: :target: :alt: License Quick Links Documentation Supported Sites Contributing Guide Issue Tracker Share Project Ideas A Python package for extracting recipe data from cooking websites. Parses recipe information from either standard HTML structure, Schema markup (including JSON LD, Microdata, and RDFa formats) or OpenGraph metadata. The package…
read the full recipe-scrapers overview →
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Frequently asked questions
Is Scrapegraph-ai or recipe-scrapers more popular?
Scrapegraph-ai has 32,439 GitHub stars and recipe-scrapers has 2,261. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and recipe-scrapers free?
Both are open source. Scrapegraph-ai is licensed under MIT and recipe-scrapers under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and recipe-scrapers?
Scrapegraph-ai is written in Python and recipe-scrapers 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, Scrapegraph-ai or recipe-scrapers?
Choose Scrapegraph-ai if you want the larger community (32,439 stars) or its MIT licence terms. Choose recipe-scrapers if its feature set, stack or MIT licence fits better. Both are self-hostable.