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 |
(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.
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.