head to head · open source
Scrapegraph-ai vs parsera
Scrapegraph-ai has 32,439 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. parsera has 1,370 stars, 80 forks, 4 open issues and last shipped 11 months ago. Scrapegraph-ai leads on adoption by 2,268% (32,439 vs 1,370 stars). Scrapegraph-ai is written in Python under MIT; parsera is written in Python under GPL-2.0. Scrapegraph-ai has attracted 10% as many forks as stars, parsera 6%. Scrapegraph-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-scraping, data-extraction, llm, scraping), 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 | parsera | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 1.4K |
| License | MIT | GPL-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-06 | 2025-12-17 |
| Forks | ⑂ 3.3K | ⑂ 80 |
| 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 parsera if
- You want the parsera feature set and don't need the biggest community
- You prefer the GPL-2.0 license terms
- Your stack matches Python
- You evaluated both and parsera 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 parsera
📦 Parsera Lightweight Python library for scraping websites with LLMs. You can test it on Parsera website. Why Parsera? Because it's simple and lightweight. With interface as simple as: Table of Contents Installation Documentation Basic usage Running with Jupyter Notebook Running with CLI Running in Docker Installation Documentation Check out documentation to learn more about other features, like running custom models and playwright scripts. Basic usage First, set up PARSERA API KEY env variable (If you want to run custom LLM see Custom Models). You can do this from python with: Next, you can run a basic…
read the full parsera overview →
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Frequently asked questions
Is Scrapegraph-ai or parsera more popular?
Scrapegraph-ai has 32,439 GitHub stars and parsera has 1,370. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and parsera free?
Both are open source. Scrapegraph-ai is licensed under MIT and parsera under GPL-2.0. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and parsera?
Scrapegraph-ai is written in Python and parsera 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 parsera?
Choose Scrapegraph-ai if you want the larger community (32,439 stars) or its MIT licence terms. Choose parsera if its feature set, stack or GPL-2.0 licence fits better. Both are self-hostable.