head to head · open source
Scrapegraph-ai vs scrapecraft
Scrapegraph-ai has 31,056 GitHub stars, 3,126 forks, 16 open issues and last shipped 11 days ago. scrapecraft has 698 stars, 112 forks, 1 open issues and last shipped 9 months ago. Scrapegraph-ai leads on adoption by 4,349% (31,056 vs 698 stars). Scrapegraph-ai is written in Python under MIT; scrapecraft is written in Python under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, scrapecraft 16%. Scrapegraph-ai 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 | scrapecraft | |
|---|---|---|
| GitHub stars | ★ 31K | ★ 698 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-07 | 2025-12-26 |
| Forks | ⑂ 3.1K | ⑂ 112 |
| 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 scrapecraft if
- You want the scrapecraft feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and scrapecraft 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 scrapecraft
ScrapeCraft is an MIT licensed, web based scraping editor — described in its README as similar to Cursor but specialized for web scraping — that lets users build, test, and deploy scrapers through a visual workflow builder and natural language AI assistance, and it is aimed at developers and data teams who already work in Python or TypeScript and want extraction pipelines assembled rather than hand coded.
read the full scrapecraft overview →
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Frequently asked questions
Is Scrapegraph-ai or scrapecraft more popular?
Scrapegraph-ai has 31,056 GitHub stars and scrapecraft has 698. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and scrapecraft free?
Both are open source. Scrapegraph-ai is licensed under MIT and scrapecraft under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and scrapecraft?
Scrapegraph-ai is written in Python and scrapecraft 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 scrapecraft?
Choose Scrapegraph-ai if you want the larger community (31,056 stars) or its MIT licence terms. Choose scrapecraft if its feature set, stack or MIT licence fits better. Both are self-hostable.