head to head · open source

scrapy vs socid-extractor

scrapy has 65,180 GitHub stars, 12,093 forks, 394 open issues and last shipped yesterday. socid-extractor has 1,134 stars, 127 forks, 12 open issues and last shipped 2 days ago. scrapy leads on adoption by 5,648% (65,180 vs 1,134 stars). scrapy is written in Python under BSD-3-Clause; socid-extractor is written in Python under MIT. scrapy has attracted 19% as many forks as stars, socid-extractor 11%. scrapy was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

scrapy ★ 65K socid-extractor ★ 1.1K category Data & Analytics

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Side by side

scrapy socid-extractor
GitHub stars ★ 65K ★ 1.1K
License BSD-3-Clause MIT
Written in Python Python
Last push 2026-11-02 2026-11-01
Forks ⑂ 12K ⑂ 127
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

full scrapy profile →

pick socid-extractor if

  • You want the socid-extractor feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and socid-extractor fits your workflow better

full socid-extractor profile →

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 socid-extractor

socid extractor Turn any public profile page into a structured account record — usernames, display names, bios, avatars, locations, joined at dates, follower counts, external links, and the stable internal identifiers that uniquely pin an account across renames, redesigns, and deletions. socid extractor parses HTML pages and API responses from 250+ schemes and returns a flat, machine readable dictionary of account fields. No API keys required, no headless browser — just a single function call on response text. Why it's useful Stable cross service IDs. Get GAIA ID (Google), Facebook UID, Yandex Public ID…

read the full socid-extractor overview →

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Frequently asked questions

Is scrapy or socid-extractor more popular?

scrapy has 65,180 GitHub stars and socid-extractor has 1,134. scrapy has the larger community by that measure.

Are scrapy and socid-extractor free?

Both are open source. scrapy is licensed under BSD-3-Clause and socid-extractor under MIT. Neither carries a licence fee.

What is the difference between scrapy and socid-extractor?

scrapy is written in Python and socid-extractor 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 socid-extractor?

Choose scrapy if you want the larger community (65,180 stars) or its BSD-3-Clause licence terms. Choose socid-extractor if its feature set, stack or MIT licence fits better. Both are self-hostable.