head to head · open source
scrapy vs agentql
scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. agentql has 1,493 stars, 180 forks, 10 open issues and last shipped yesterday. scrapy leads on adoption by 4,266% (65,180 vs 1,493 stars). scrapy is written in Python under BSD-3-Clause; agentql is written in Python under MIT. scrapy has attracted 19% as many forks as stars, agentql 12%. scrapy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (python, scraping, web-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
| scrapy | agentql | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 1.5K |
| License | BSD-3-Clause | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 12K | ⑂ 180 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick scrapy if
- You weight community size — 65K 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 agentql if
- You want the agentql feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and agentql fits your workflow better
About scrapy
.. logo image:: :target: :alt: Scrapy :width: 480px .. version image:: :target: :alt: PyPI Version .. python version image:: :target: :alt: Supported Python Versions .. tests image:: :target: :alt: Tests .. coverage image:: :target: :alt: Coverage report .. conda image:: :target: :alt: Conda Version .. deepwiki image:: :target: :alt: Ask DeepWiki Scrapy is a web scraping framework to extract structured data from websites. It is cross platform, and requires Python 3.10+. It is maintained by Zyte (formerly Scrapinghub) and many other contributors . .. many other contributors: .. Scrapy: .. Zyte: Install with…
read the full scrapy overview →
About agentql
AgentQL connects LLMs and AI agents to the entire web What is AgentQL? AgentQL is a suite of tools for extracting data and automating workflows on live web sites featuring an AI powered query language, Python and JavaScript SDKs, a browser based debugger, and a REST API endpoint. It uses natural language queries to pinpoint data and elements on any web page, including authenticated and dynamically generated content. Users can define structured data output and apply transforms within queries. AgentQL's natural language selectors find elements intuitively based on the content of the web page and work across…
read the full agentql overview →
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Frequently asked questions
Is scrapy or agentql more popular?
scrapy has 65,180 GitHub stars and agentql has 1,493. scrapy has the larger community by that measure.
Are scrapy and agentql free?
Both are open source. scrapy is licensed under BSD-3-Clause and agentql under MIT. Neither carries a licence fee.
What is the difference between scrapy and agentql?
scrapy is written in Python and agentql 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, scrapy or agentql?
Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose agentql if its feature set, stack or MIT licence fits better. Both are self-hostable.