head to head · open source
scrapy vs Scweet
scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. Scweet has 1,658 stars, 287 forks, 1 open issues and last shipped 8 days ago. scrapy leads on adoption by 3,831% (65,180 vs 1,658 stars). scrapy is written in Python under BSD-3-Clause; Scweet is written in Python under MIT. scrapy has attracted 19% as many forks as stars, Scweet 17%. scrapy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (python), 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 | Scweet | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 1.7K |
| License | BSD-3-Clause | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-26 |
| Forks | ⑂ 12K | ⑂ 287 |
| 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 Scweet if
- You want the Scweet feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Scweet 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 Scweet
Scrape Twitter / X without the official API. Tweets, profiles, followers, trends and more. Two ways to run it 1. Hosted : nothing to manage ⭐ Runs on Apify. You do not need X accounts, cookies or proxies. Configure and run from your browser , no code needed, or drive it from code with the Python API Search tweets, profile timelines, follower / following lists Export in different formats ( JSON, CSV or XLSX ) Free tier included ; pay as you go pricing is on the Actor page 2. Self hosted : full control Bring your own X accounts and proxies. Run it from Python or the CLI, inside your own infrastructure. Both give…
read the full Scweet overview →
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Frequently asked questions
Is scrapy or Scweet more popular?
scrapy has 65,180 GitHub stars and Scweet has 1,658. scrapy has the larger community by that measure.
Are scrapy and Scweet free?
Both are open source. scrapy is licensed under BSD-3-Clause and Scweet under MIT. Neither carries a licence fee.
What is the difference between scrapy and Scweet?
scrapy is written in Python and Scweet 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 Scweet?
Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose Scweet if its feature set, stack or MIT licence fits better. Both are self-hostable.