cross-posted from: https://discuss.tchncs.de/post/22423685

EDIT: For those who are too lazy to click the link, this is what it says

Hello,

Sad news for everyone. YouTube/Google has patched the latest workaround that we had in order to restore the video playback functionality.

Right now we have no other solutions/fixes. You may be able to get Invidious working on residential IP addresses (like at home) but on datacenter IP addresses Invidious won’t work anymore.

If you are interested to install Invidious at home, we remind you that we have a guide for that here: https://docs.invidious.io/installation/..

This is not the death of this project. We will still try to find new solutions, but this might take time, months probably.

I have updated the public instance list in order to reflect on the working public instances: https://instances.invidious.io. Please don’t abuse them since the number is really low.

Feel free to discuss this politely on Matrix or IRC.

  • webghost0101@sopuli.xyz
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    2 months ago

    Another example, which i can personally verify has been working fine for months. It works a bit different to the above, it downloads the latests 2* vids that are not already downloaded and runs once every hour with cron. I also attempted to filter out live vids and shorts.

    Channels i am “subscribed” too are stored in a single text file, it also uses the avc1 codec because i found p9 and p10 had issues with the jellyfin client on my tv.

    looks like this, i added categories but i don’t actually use them in the script besides putting them in a variable, lol. Vid-limit is how many of the latests vids it should look at to download. The original reason i implemented that is so i could selectively download a bulk of latests vids if i wanted to.

    Cat=Science
    Name=Vertitasium
    VidLimit=2
    URL=https://www.youtube.com/channel/UCHnyfMqiRRG1u-2MsSQLbXA
    
    Cat=Minecraft
    Name=EthosLab
    VidLimit=2
    URL=https://www.youtube.com/channel/UCFKDEp9si4RmHFWJW1vYsMA
    
    #!/bin/bash
    
    
    # Define the directory to store channel lists and scripts
    script_dir="/.../YTDL"
    
    # Define the base directory to store downloaded videos
    base_download_dir="/.../youtubevids"
    
    # Change to the script directory
    cd "$script_dir"
    
    # Parse the Channels.txt file and process each channel
    awk -F'=' '
      /^Cat/ {Cat=$2}
      /^Name/ {Name=$2}
      /^VidLimit/ {VidLimit=$2}
      /^URL/ {URL=$2; print Cat, Name, VidLimit, URL}
    ' "$script_dir/Channels.txt" | while read -r Cat Name VidLimit URL; do
        # Define the download directory for this channel
        download_dir="$base_download_dir"
        
        # Define the download archive file for this channel
        archive_file="$script_dir/DLarchive$Name.txt"
        
        # Create the download directory if it does not exist
        mkdir -p "$download_dir"
        
        # If VidLimit is "ALL", set playlist_end option to empty, otherwise set it to --playlist-end <VidLimit>
        playlist_end_option=""
        if [[ $VidLimit != "ALL" ]]; then
            playlist_end_option="--playlist-end $VidLimit"
        fi
    yt-dlp \
            --download-archive "$archive_file" \
            $playlist_end_option \
            --write-description \
            --write-thumbnail \
            --convert-thumbnails jpg \
            --add-metadata \
            --embed-thumbnail \
            --match-filter "!is_live & !was_live & original_url!*=/shorts/" \
            --merge-output-format mp4 \
            --format "bestvideo[vcodec^=avc1]+bestaudio[ext=m4a]/best[ext=mp4]/best" \
            --output "$download_dir/${Name} - %(title)s.%(ext)s" \
            "$URL"
            
    done
    
    • Gutless2615@ttrpg.network
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      2 months ago

      Yeah this is more elegant and closer to what I’d actually want to implement. I was more just showing what could be done in literally thirty seconds on the can with ChatGPT.

      • webghost0101@sopuli.xyz
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        2 months ago

        I knew i recognized that output.

        Mine is actually also made with the help of Chatgpt but manually refined and tested.