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Extract accounts' identifiers from personal pages on various platforms

Project description

socid_extractor

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.

Installation

$ pip3 install socid-extractor

The latest development version can be installed directly from GitHub:

$ pip3 install -U git+https://github.com/soxoj/socid_extractor.git

Using

As a command-line tool:

$ socid_extractor --url https://www.deviantart.com/muse1908
country: France
created_at: 2005-06-16 18:17:41
gender: female
username: Muse1908
website: www.patreon.com/musemercier
links: ['https://www.facebook.com/musemercier', 'https://www.instagram.com/muse.mercier/', 'https://www.patreon.com/musemercier']
tagline: Nothing worth having is easy...

Or simply ./run.py --url https://vimeo.com/alexaimephotography

As a Python library:

>>> import socid_extractor, requests
>>> r = requests.get('https://www.patreon.com/annetlovart')
>>> socid_extractor.extract(r.text)
{'patreon_id': '33913189', 'patreon_username': 'annetlovart', 'fullname': 'Annet Lovart', 'links': "['https://www.facebook.com/322598031832479', 'https://www.instagram.com/annet_lovart', 'https://twitter.com/annet_lovart', 'https://youtube.com/channel/UClDg4ntlOW_1j73zqSJxHHQ']"}

Sites

  • 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)
  • Mail.ru (my.mail.ru 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-0.0.7.tar.gz (36.7 kB view hashes)

Uploaded Source

Built Distribution

socid_extractor-0.0.7-py3-none-any.whl (36.8 kB view hashes)

Uploaded Python 3

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