README.md

privchk - Privacy checks on websites

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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

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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.

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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.)

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