head to head · open source

Scrapegraph-ai vs moli

Scrapegraph-ai has 32,439 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. moli has 22,228 stars, 611 forks, 126 open issues and last shipped yesterday. Scrapegraph-ai leads on adoption by 46% (32,439 vs 22,228 stars). Scrapegraph-ai is written in Python under MIT; moli is written in Rust under Apache-2.0. Scrapegraph-ai has attracted 10% as many forks as stars, moli 3%. moli was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 moli ★ 22K category Data & Analytics

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Side by side

Scrapegraph-ai moli
GitHub stars ★ 32K ★ 22K
License MIT Apache-2.0
Written in Python Rust
Last push 2026-10-06 2026-11-02
Forks ⑂ 3.3K ⑂ 611
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 moli if

  • You want the moli feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and moli fits your workflow better

full moli 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 moli

Moli English 简体中文 日本語 Deutsch Français Español Moli is a production ready headless browser for AI agents. Its on demand layout and rendering design combines a complete browser runtime with a lightweight resource footprint. Moli helps your AI agent fetch and extract web pages, search the web, and automate browser tasks. Use it through the CLI, CDP, WebDriver Classic, or WebDriver BiDi. Moli supports Linux, macOS, and Windows. Quick start Give this prompt to your AI agent: Direct installation On Linux or macOS: On Windows, run in PowerShell: Showcase An HTML5 game rendered by Moli and inspected live through Chrome…

read the full moli overview →

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Frequently asked questions

Is Scrapegraph-ai or moli more popular?

Scrapegraph-ai has 32,439 GitHub stars and moli has 22,228. Scrapegraph-ai has the larger community by that measure.

Are Scrapegraph-ai and moli free?

Both are open source. Scrapegraph-ai is licensed under MIT and moli under Apache-2.0. Neither carries a licence fee.

What is the difference between Scrapegraph-ai and moli?

Scrapegraph-ai is written in Python and moli in Rust. 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 moli?

Choose Scrapegraph-ai if you want the larger community (32,439 stars) or its MIT licence terms. Choose moli if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.