head to head · open source

Scrapegraph-ai vs Skyvern

Scrapegraph-ai has 32,473 GitHub stars, 3,317 forks, 16 open issues and last shipped 1 months ago. Skyvern has 23,336 stars, 2,236 forks, 234 open issues and last shipped yesterday. Scrapegraph-ai leads on adoption by 39% (32,473 vs 23,336 stars). Scrapegraph-ai is written in Python under MIT; Skyvern is written in Python under AGPL-3.0. Scrapegraph-ai has attracted 10% as many forks as stars, Skyvern 10%. Skyvern 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.

Scrapegraph-ai ★ 32K Skyvern ★ 23K category Data & Analytics

← all 20902 open source comparisons

Side by side

Scrapegraph-ai Skyvern
GitHub stars ★ 32K ★ 23K
License MIT AGPL-3.0
Written in Python Python
Last push 2026-10-06 2026-11-04
Forks ⑂ 3.3K ⑂ 2.2K
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

full Scrapegraph-ai profile →

pick Skyvern if

  • You want the Skyvern feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Python
  • You evaluated both and Skyvern fits your workflow better

full Skyvern profile →

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 Skyvern

🐉 Automate Browser based workflows using LLMs and Computer Vision 🐉 Skyvern automates browser based workflows using LLMs and computer vision. It provides a Playwright compatible SDK that adds AI functionality on top of playwright, as well as a no code workflow builder to help both technical and non technical users automate manual workflows on any website, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath based interactions which would break whenever the website layouts changed…

read the full Skyvern 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 Scrapegraph-ai or Skyvern more popular?

Scrapegraph-ai has 32,473 GitHub stars and Skyvern has 23,336. Scrapegraph-ai has the larger community by that measure.

Are Scrapegraph-ai and Skyvern free?

Both are open source. Scrapegraph-ai is licensed under MIT and Skyvern under AGPL-3.0. Neither carries a licence fee.

What is the difference between Scrapegraph-ai and Skyvern?

Scrapegraph-ai is written in Python and Skyvern 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 Skyvern?

Choose Scrapegraph-ai if you want the larger community (32,473 stars) or its MIT licence terms. Choose Skyvern if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.