head to head · open source
scrapy vs design-extract
scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. design-extract has 4,466 stars, 385 forks, 23 open issues and last shipped yesterday. scrapy leads on adoption by 1,359% (65,180 vs 4,466 stars). scrapy is written in Python under BSD-3-Clause; design-extract is written in HTML under MIT. scrapy has attracted 19% as many forks as stars, design-extract 9%. design-extract 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.
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Side by side
| scrapy | design-extract | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 4.5K |
| License | BSD-3-Clause | MIT |
| Written in | Python | HTML |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 12K | ⑂ 385 |
| 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 design-extract if
- You want the design-extract feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches HTML
- You evaluated both and design-extract 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 design-extract
Built by Manav Arya Singh ( @Manavarya09 ) Sponsors Atlas Cloud — powers OpenAI compatible smart classification. For AI coding workflows, try the Atlas Cloud coding plan . Bloome — deploys your AI clone to handle every audience conversation, running in the cloud, 24/7. Try designlang on Bloome . designlang points a headless browser at any URL and reads the design system off the live DOM. One command emits 17+ files — DTCG tokens, Tailwind config, shadcn theme, Figma variables, motion tokens, typed component anatomy, brand voice, page intent labels, and a paste ready prompt pack for v0 / Lovable / Cursor / Claude…
read the full design-extract overview →
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Frequently asked questions
Is scrapy or design-extract more popular?
scrapy has 65,180 GitHub stars and design-extract has 4,466. scrapy has the larger community by that measure.
Are scrapy and design-extract free?
Both are open source. scrapy is licensed under BSD-3-Clause and design-extract under MIT. Neither carries a licence fee.
What is the difference between scrapy and design-extract?
scrapy is written in Python and design-extract in HTML. 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 design-extract?
Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose design-extract if its feature set, stack or MIT licence fits better. Both are self-hostable.