head to head · open source

Scrapling vs Scweet

Scrapling has 92,628 GitHub stars, 9,759 forks, 6 open issues and last shipped yesterday. Scweet has 1,658 stars, 287 forks, 1 open issues and last shipped 8 days ago. Scrapling leads on adoption by 5,487% (92,628 vs 1,658 stars). Scrapling is written in Python under BSD-3-Clause; Scweet is written in Python under MIT. Scrapling has attracted 11% as many forks as stars, Scweet 17%. Scrapling 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.

Scrapling ★ 93K Scweet ★ 1.7K category Data & Analytics

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Side by side

Scrapling Scweet
GitHub stars ★ 93K ★ 1.7K
License BSD-3-Clause MIT
Written in Python Python
Last push 2026-11-02 2026-10-26
Forks ⑂ 9.8K ⑂ 287
Self-hosting Yes Yes
Data ownership Your server Your server

pick Scrapling if

  • You weight community size — 93K 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

full Scrapling profile →

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

full Scweet profile →

About Scrapling

Effortless Web Scraping for the Modern Web Selection methods · Fetchers · Spiders · Proxy Rotation · CLI · MCP Scrapling is an adaptive Web Scraping framework that handles everything from a single request to a full scale crawl. Its parser learns from website changes and automatically relocates your elements when pages update. Its fetchers bypass anti bot systems like Cloudflare Turnstile out of the box. And its spider framework lets you scale up to concurrent, multi session crawls with pause/resume, automatic proxy rotation, and a crawl speed that adapts to how fast each…

read the full Scrapling 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 Scrapling or Scweet more popular?

Scrapling has 92,628 GitHub stars and Scweet has 1,658. Scrapling has the larger community by that measure.

Are Scrapling and Scweet free?

Both are open source. Scrapling is licensed under BSD-3-Clause and Scweet under MIT. Neither carries a licence fee.

What is the difference between Scrapling and Scweet?

Scrapling 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, Scrapling or Scweet?

Choose Scrapling if you want the larger community (92,628 stars) or its BSD-3-Clause licence terms. Choose Scweet if its feature set, stack or MIT licence fits better. Both are self-hostable.