head to head · open source
Scrapegraph-ai vs OpenSERP
Scrapegraph-ai has 32,425 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. OpenSERP has 1,539 stars, 184 forks, 20 open issues and last shipped 6 days ago. Scrapegraph-ai leads on adoption by 2,007% (32,425 vs 1,539 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 12%. OpenSERP was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm, rag), 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 | ★ 32K | ★ 1.5K |
| License | MIT | MIT |
| Written in | Python | Go |
| Last push | 2026-10-06 | 2026-10-28 |
| Forks | ⑂ 3.3K | ⑂ 184 |
| 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 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
🚀 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 OpenSERP
OpenSERP OpenSERP is a free, open source SERP API and CLI for Google, Yandex, Baidu, Bing, DuckDuckGo, and Ecosia. No API keys, no per search billing: one command gives you live, structured search results on localhost including engines the paid APIs don't cover. Use it as a search tool for LLMs and agents, or as a backend for SEO rank tracking. If you'd rather not run infrastructure, there is a hosted version with the same API. Features Dedicated endpoints for six engines, same JSON schema across all of them Megasearch one query across several engines at once, merged and deduped URL extraction search results…
read the full OpenSERP overview →
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Frequently asked questions
Is Scrapegraph-ai or OpenSERP more popular?
Scrapegraph-ai has 32,425 GitHub stars and OpenSERP has 1,539. 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 (32,425 stars) or its MIT licence terms. Choose OpenSERP if its feature set, stack or MIT licence fits better. Both are self-hostable.