head to head · open source
Scrapegraph-ai vs OpenSERP
Scrapegraph-ai has 31,056 GitHub stars, 3,126 forks, 16 open issues and last shipped 11 days ago. OpenSERP has 1,395 stars, 157 forks, 20 open issues and last shipped 2 months ago. Scrapegraph-ai leads on adoption by 2,126% (31,056 vs 1,395 stars). Scrapegraph-ai is written in Python under MIT; OpenSERP is written in Go under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, OpenSERP 11%. 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 | OpenSERP | |
|---|---|---|
| GitHub stars | ★ 31K | ★ 1.4K |
| License | MIT | MIT |
| Written in | Python | Go |
| Last push | 2026-09-07 | 2026-07-22 |
| Forks | ⑂ 3.1K | ⑂ 157 |
| 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 OpenSERP if
- You want the OpenSERP feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and OpenSERP 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 OpenSERP
OpenSERP is a self hosted search engine results page API and command line tool written in Go. It returns live, structured results from Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia through one JSON schema, and it can extract clean markdown from target pages. The project lives in the open source data extraction and web scraping ecosystem, with topics such as AI, API, CLI, LLM, and search.
read the full OpenSERP overview →
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Frequently asked questions
Is Scrapegraph-ai or OpenSERP more popular?
Scrapegraph-ai has 31,056 GitHub stars and OpenSERP has 1,395. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and OpenSERP free?
Both are open source. Scrapegraph-ai is licensed under MIT and OpenSERP under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and OpenSERP?
Scrapegraph-ai is written in Python and OpenSERP in Go. 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 OpenSERP?
Choose Scrapegraph-ai if you want the larger community (31,056 stars) or its MIT licence terms. Choose OpenSERP if its feature set, stack or MIT licence fits better. Both are self-hostable.