YT-Spammer-Purge VS pytube

Post-Elon takeover the amount of bot spam I encounter has definitely decreased. I'm not sure the claim of Twitter moderation is accurate, since before the takeover the problem was still present.

The problem got so bad in YouTube Comments that eventually third-party tools [0] were developed to help purge spam.

I agree that if you had a team monitoring spam they could write rules to drastically reduce spam. It's always going to be a cat and mouse game, but if the cat side was more proactive it would definitely lead to a better experience.

[0] https://github.com/ThioJoe/YT-Spammer-Purge

However, CGP Grey hasn't mentioned attempting to use ThioJoe's tool to get rid of these scam comments. According to Linus Tech Tips, a channel with over 15 million subscribers, this tool "is so dead simple that it's shocking" and its false positive rate is "roughly zero".

I downloaded a program called YT Spammer Purge which seems to do the job quite well.

this tool exists for these exact reasons (thats the thiojoe "fuck you spammers" tool)

This may be of interest to you. A couple YouTubers made videos about this software about a year ago iirc. https://github.com/ThioJoe/YT-Spammer-Purge

There is such a tool. Check this out - https://github.com/ThioJoe/YT-Spammer-Purge

I just got my channel added to an 'alpha' of their new spam prevention algorithm... and it seems to be working so far (fingers crossed).

I was getting around 300 spam replies to comments on my videos per week up until the alpha started—now I'm getting 0. So maybe they finally cracked that nut, but I won't count my chickens before they're hatched.

I still run YT-Spammer-Purge[1] daily, but it's come up dry for the past week now.

[1] https://github.com/ThioJoe/YT-Spammer-Purge

Then in the virtual environment pip install pytube, this is the documentation if you are interested.

This is a known issue, likely started by something on YouTube's end.

Pytube was used for YouTube video download logic.

$ python3 Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> from pytube import Search >>> s = Search('once in a lifetime talking heads'); >>> print('https://youtu.be/%s' % s.results[0].video_id) Unexpected renderer encountered. Renderer name: dict_keys(['reelShelfRenderer']) Search term: once in a lifetime talking heads Please open an issue at https://github.com/pytube/pytube/issues and provide this log output. https://youtu.be/5IsSpAOD6K8

If a transcript doesn’t exist, download the audio of the video as an mp3 file with Pytube and use our first ML model, OpenAI Whisper to transcribe

After all the parsing is done, we need to download videos from returned URLs using pytube. Here we only download audio with filter(only_audio=True) option as this is what we only need for transcript and defining output_path to create videos/ path with filename that was done at the parsing stage, i.e absolute filename.

pip install git+https://github.com/openai/whisper.git pip install git+https://github.com/pytube/pytube.git pip install pandas