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Extract accounts' identifiers from personal pages on various platforms

Project description


Extract accounts' identifiers and other info from personal pages on popular sites.

When it may be useful

Tools using socid_extractor

Maigret - powerful namechecker, generate a report with all available info from accounts found.


The latest development version can be installed directly from GitHub:

$ pip3 install -U git+


As a command-line tool:

$ socid_extractor
uid: 75857717
name: AlexAimePhotography
username: alexaimephotography
location: France
created_at: 2017-12-06 06:49:28
is_staff: False
links: ['', '', '', '', '']

As a Python library:

>>> import socid_extractor, requests
>>> r = requests.get('')
>>> socid_extractor.extract(r.text)
{'uid': '75857717', 'name': 'AlexAimePhotography', 'username': 'alexaimephotography', 'location': 'France', 'created_at': '2017-12-06 06:49:28', 'is_staff': 'False', 'links': "['', '', '', '', '']"}


  • Google (all documents pages, maps contributions), cookies required
  • Yandex (disk, albums, znatoki, music, realty, collections), cookies required to prevent captcha blocks
  • Facebook (user & group pages)
  • Instagram
  • Reddit
  • Medium
  • Flickr
  • TikTok
  • GitHub
  • VK (user page)
  • OK (user page)
  • ( user mainpage, photo, video, games, communities)

...and many others.

Check tests file for extracted data examples.

Project details

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Source Distribution

socid-extractor-0.0.4.tar.gz (32.7 kB view hashes)

Uploaded Source

Built Distribution

socid_extractor-0.0.4-py3-none-any.whl (33.0 kB view hashes)

Uploaded Python 3

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