head to head · open source
scrapy vs basketball_reference_web_scraper
scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. basketball_reference_web_scraper has 563 stars, 133 forks, 8 open issues and last shipped yesterday. scrapy leads on adoption by 11,477% (65,180 vs 563 stars). scrapy is written in Python under BSD-3-Clause; basketball_reference_web_scraper is written in HTML under MIT. scrapy has attracted 19% as many forks as stars, basketball_reference_web_scraper 24%. scrapy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (python, 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 | basketball_reference_web_scraper | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 563 |
| License | BSD-3-Clause | MIT |
| Written in | Python | HTML |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 12K | ⑂ 133 |
| 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 basketball_reference_web_scraper if
- You want the basketball_reference_web_scraper feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches HTML
- You evaluated both and basketball_reference_web_scraper 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 basketball_reference_web_scraper
Basketball Reference is a great site (especially for a basketball stats nut like me), and hopefully they don't get too pissed off at me for creating this. I initially wrote this library as an exercise for creating my first PyPi package hope you find it valuable! Documentation For documentation about installing the package and API methods see the documentation page. Contributors Thanks to @DaiJunyan, @ecallahan5, @Yotamho, @ntsirakis, @allanbelliti, @krlu, @aaronbannin, @benjaminmesser, @pepeefirat, @PGats, @jakeakopp, and @DigitalCurrensy for their contributions!
read the full basketball_reference_web_scraper overview →
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Frequently asked questions
Is scrapy or basketball_reference_web_scraper more popular?
scrapy has 65,180 GitHub stars and basketball_reference_web_scraper has 563. scrapy has the larger community by that measure.
Are scrapy and basketball_reference_web_scraper free?
Both are open source. scrapy is licensed under BSD-3-Clause and basketball_reference_web_scraper under MIT. Neither carries a licence fee.
What is the difference between scrapy and basketball_reference_web_scraper?
scrapy is written in Python and basketball_reference_web_scraper 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 basketball_reference_web_scraper?
Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose basketball_reference_web_scraper if its feature set, stack or MIT licence fits better. Both are self-hostable.