head to head · open source

Scrapling vs OpenSERP

Scrapling has 92,628 GitHub stars, 9,759 forks, 6 open issues and last shipped yesterday. OpenSERP has 1,544 stars, 184 forks, 20 open issues and last shipped 6 days ago. Scrapling leads on adoption by 5,899% (92,628 vs 1,544 stars). Scrapling is written in Python under BSD-3-Clause; OpenSERP is written in Go under MIT. Scrapling has attracted 11% as many forks as stars, OpenSERP 12%. Scrapling was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (mcp, mcp-server), 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.

Scrapling ★ 93K OpenSERP ★ 1.5K category Data & Analytics

← all 20902 open source comparisons

Side by side

Scrapling OpenSERP
GitHub stars ★ 93K ★ 1.5K
License BSD-3-Clause MIT
Written in Python Go
Last push 2026-11-02 2026-10-28
Forks ⑂ 9.8K ⑂ 184
Self-hosting Yes Yes
Data ownership Your server Your server

pick Scrapling if

  • You weight community size — 93K stars and counting
  • You want the BSD-3-Clause license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Scrapling profile →

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

full OpenSERP profile →

About Scrapling

Effortless Web Scraping for the Modern Web Selection methods · Fetchers · Spiders · Proxy Rotation · CLI · MCP Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi session crawls with pause/resume, automatic proxy rotation, and a crawl speed that adapts to how fast each…

read the full Scrapling 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 →

More in Data & Analytics

Related comparisons

More Data Extraction & Web Scraping projects

Compare either of these against the rest of the Data Extraction & Web Scraping field.

Frequently asked questions

Is Scrapling or OpenSERP more popular?

Scrapling has 92,628 GitHub stars and OpenSERP has 1,544. Scrapling has the larger community by that measure.

Are Scrapling and OpenSERP free?

Both are open source. Scrapling is licensed under BSD-3-Clause and OpenSERP under MIT. Neither carries a licence fee.

What is the difference between Scrapling and OpenSERP?

Scrapling 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, Scrapling or OpenSERP?

Choose Scrapling if you want the larger community (92,628 stars) or its BSD-3-Clause licence terms. Choose OpenSERP if its feature set, stack or MIT licence fits better. Both are self-hostable.