head to head · open source
Scrapling vs Scrapegraph-ai
Scrapling has 92,628 GitHub stars, 9,759 forks, 6 open issues and last shipped yesterday. Scrapegraph-ai has 32,439 stars, 3,313 forks, 16 open issues and last shipped 28 days ago. Scrapling leads on adoption by 186% (92,628 vs 32,439 stars). Scrapling is written in Python under BSD-3-Clause; Scrapegraph-ai is written in Python under MIT. Scrapling has attracted 11% as many forks as stars, Scrapegraph-ai 10%. Scrapling was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-scraping, crawler, 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
| Scrapling | Scrapegraph-ai | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 32K |
| License | BSD-3-Clause | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-06 |
| Forks | ⑂ 9.8K | ⑂ 3.3K |
| 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
pick Scrapegraph-ai if
- You want the Scrapegraph-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Scrapegraph-ai fits your workflow better
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 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 →
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Frequently asked questions
Is Scrapling or Scrapegraph-ai more popular?
Scrapling has 92,628 GitHub stars and Scrapegraph-ai has 32,439. Scrapling has the larger community by that measure.
Are Scrapling and Scrapegraph-ai free?
Both are open source. Scrapling is licensed under BSD-3-Clause and Scrapegraph-ai under MIT. Neither carries a licence fee.
What is the difference between Scrapling and Scrapegraph-ai?
Scrapling is written in Python and Scrapegraph-ai 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, Scrapling or Scrapegraph-ai?
Choose Scrapling if you want the larger community (92,628 stars) or its BSD-3-Clause licence terms. Choose Scrapegraph-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.