head to head · open source
Scrapegraph-ai vs recipe-scrapers
Scrapegraph-ai has 31,056 GitHub stars, 3,126 forks, 16 open issues and last shipped 11 days ago. recipe-scrapers has 2,227 stars, 673 forks, 131 open issues and last shipped 9 days ago. Scrapegraph-ai leads on adoption by 1,295% (31,056 vs 2,227 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 | ★ 31K | ★ 2.2K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-07 | 2026-09-09 |
| Forks | ⑂ 3.1K | ⑂ 673 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapegraph-ai if
- You weight community size — 31K 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
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 →
About recipe-scrapers
recipe scrapers is an open source Python package for extracting recipe data from cooking websites. It lives in the Python data extraction ecosystem and focuses on HTML parsing rather than network access. The library reads recipe pages through a consistent API, so developers can obtain ingredients, instructions, cooking times, and other metadata without writing a separate parser for every site.
read the full recipe-scrapers overview →
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Frequently asked questions
Is Scrapegraph-ai or recipe-scrapers more popular?
Scrapegraph-ai has 31,056 GitHub stars and recipe-scrapers has 2,227. 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 (31,056 stars) or its MIT licence terms. Choose recipe-scrapers if its feature set, stack or MIT licence fits better. Both are self-hostable.