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analyze website's 3rd party requests and other privacy stuffs

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privchk - Privacy checks on websites


Calculate 3rd party requests count on the top websites

Sample result:

top level url total requests count third party requests
https://www.microsoft.com/en-us/ 139 122
https://www.youtube.com/ 117 83
https://www.facebook.com/ 64 60
https://www.netflix.com/ 57 47
https://www.linkedin.com/ 45 39
https://twitter.com/ 18 16
http://www.baidu.com/ 19 12
https://www.google.com/?gws_rd=ssl 15 7
https://www.instagram.com/ 28 7
http://baidu.com/ 2 1
https://www.wikipedia.org/ 7 0

Show where the webservers located (in which country)

(The measurements performed on the top 500 Hungarian websites, but this is just a matter of the list used.)
Using ipapi for geolocation,
sqlite3 for store the data.


Automatically find (and hide) GDPR consent dialog

Find the close button of the dialog, with a small javascript code.
(The keywords have been optimized for Hungarian sites, but this can be easily changed to any arbitrary localization.)


Moreover, this gist analyze block lists changes based on PyFunceble Github repositories.

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