head to head · open source
Scrapegraph-ai vs ClawBench
Scrapegraph-ai has 31,539 GitHub stars, 3,203 forks, 16 open issues and last shipped 10 days ago. ClawBench has 945 stars, 62 forks, 52 open issues and last shipped 15 days ago. Scrapegraph-ai leads on adoption by 3,237% (31,539 vs 945 stars). Scrapegraph-ai is written in Python under MIT; ClawBench is written in Python under Apache-2.0. Scrapegraph-ai has attracted 10% as many forks as stars, ClawBench 7%. 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 (llm), 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 | ClawBench | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 945 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-25 | 2026-09-20 |
| Forks | ⑂ 3.2K | ⑂ 62 |
| 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 ClawBench if
- You want the ClawBench feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ClawBench 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 ClawBench
ClawBench is an open source benchmark that evaluates how reliably AI browser agents can complete everyday online tasks — such as booking travel, ordering food, applying for jobs, and managing email — across live websites, and it is aimed at researchers and developers building or comparing web agents.
read the full ClawBench overview →
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Frequently asked questions
Is Scrapegraph-ai or ClawBench more popular?
Scrapegraph-ai has 31,539 GitHub stars and ClawBench has 945. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and ClawBench free?
Both are open source. Scrapegraph-ai is licensed under MIT and ClawBench under Apache-2.0. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and ClawBench?
Scrapegraph-ai is written in Python and ClawBench 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 ClawBench?
Choose Scrapegraph-ai if you want the larger community (31,539 stars) or its MIT licence terms. Choose ClawBench if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.