An attempt list of all IPs that youtube uses.

This is a list that keeps all ipv4 and ipv6 addresses used by Youtube. We use DNS Lookups to achieve this and the lists are automatically updated approximately every 5 minutes. The project is currently STABLE BETA. So, not all IPs might be available. At present, it has a collection of 13139 YouTube IPs.

Ipv4 list raw link => Here!

Ipv6 list raw link => Here!

Used open source lists:

1. https://github.com/nickspaargaren/no-google/blob/master/categories/youtubeparsed

There are two scripts in the repository root, list_generator.sh and list_generator.py. Running any of these scripts should generate two files with a list of IPv4 and IPv6 addresses with the filenames ipv4_list.txt and ipv6_list.txt. Note that the list_generator.py is recommended although list_generator.sh should run better. This is because the list_generator.sh uses an underlining tool called dig which is a troubleshooting tool not intended to be used for production purposes. It has a little chance of listing some wrong IPs In some cases. With a warning or error.

to use the list_generator.sh file run this commands in the folder cantainng the files.

chmod +x list_generator.sh
./list_generator.sh

If this doesn't work, run the following before using it. It should only be necessary once.

sudo apt install sort dig grep parallel aria2c

For the .py file, you need to install dnspython. Version 2.1.0 is recommended. Recent versions might also work although not tested. This is only necessary once.

pip3 install -I dnspython==2.1.0

Then run:

chmod +x list_generator.py
./list_generator.py

If this doesn't work, try:

python3 list_generator.py

Using any of these scripts once is not enough. This is because IPs returned by DNS Queries are not consistent. They are changed at fixed or unfixed intervals. Although all IPs are not returned at the same time, all have the same purpose. And different computers use different IPs at the same time. And so, running the scripts, again and again, is a necessity. If you run the scripts more IPs should be automatic. Personally recommend running the scripts at least 100 times at the interval of 5 minutes or 300 seconds (Google's TTL). For reasonable performance, run it 1000 times before using it for production. I use such Cron jobs to populate the lists.

*/5 * * * * /path/to/the/script