head to head · open source
Scrapegraph-ai vs parsera
Scrapegraph-ai has 31,056 GitHub stars, 3,126 forks, 16 open issues and last shipped 11 days ago. parsera has 1,356 stars, 78 forks, 4 open issues and last shipped 9 months ago. Scrapegraph-ai leads on adoption by 2,190% (31,056 vs 1,356 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.
← all 8884 open source comparisons
Side by side
| Scrapegraph-ai | parsera | |
|---|---|---|
| GitHub stars | ★ 31K | ★ 1.4K |
| License | MIT | GPL-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-07 | 2025-12-17 |
| Forks | ⑂ 3.1K | ⑂ 78 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapegraph-ai if
- You weight community size — 31K 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
ScrapeGraphAI is an open source Python library for web scraping that combines large language models with direct graph logic to build scraping pipelines. It lives in the Python ecosystem and is distributed under the MIT license, with the reference package published on PyPI as scrapegraphai . Rather than requiring a developer to hand write selectors for every page, the library accepts a natural language prompt describing the information to extract, alongside a source URL or local document, and returns structured results. It is designed around the idea expressed in its own tagline, "You Only Scrape Once," meaning th…
read the full Scrapegraph-ai overview →
About parsera
Parsera lightweight Python library scraping websites with LLMs. It sits in Python web scraping and data extraction ecosystem. Listing puts it under Data & Analytics / Data Extraction & Web Scraping. License is GPL 2.0. Project page lists 1356 stars, 78 forks, 4 open issues, 2 year age, and last push date 2025 12 17T10:58:19Z. Topics connect it to AI scraping, Playwright, open source data extraction.
read the full parsera 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 parsera more popular?
Scrapegraph-ai has 31,056 GitHub stars and parsera has 1,356. 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 (31,056 stars) or its MIT licence terms. Choose parsera if its feature set, stack or GPL-2.0 licence fits better. Both are self-hostable.