It usually isn't super hard to tell apart randomized junk like this from real human patterns. That is why Tor Browser for example tries its best to make everyone look the same instead of randomizing everything.
That said, for the mere purpose of throwing off the ISPs profiling algorithms, you could make a relatively simple python program to solve this. A naive solution would just do an http GET to each site, but a better solution would mimic human web browsing:
- Get a list of various news sites and political forum sites
- Setup headless firefox or chromium
- Use Selenium or similar to crawl links on each site. Make sure you have the pages fully load and wait a random amount of time that a human would before going to the next page.
- https://realpython.com/modern-web-automation-with-python-and-selenium/#test-driving-a-headless-browser
If you have no programming capability this will be rough. If you have at least a little you can follow tutorials and use an LLM to help you.
The main issue with this goal is that it isn't possible to tell how advanced your ISP's profiling is, so you have no way to know if your solution is effective.
Feel free to DM me if you go this route.
The main benefit is since it is locally installed, it is harder for proton's server to access your encrypted data by serving you malicious JS. A malicious desktop app/update could be served too, but that may be trickier.