media-downloader VS yt-dlp

Just started using mediadownloader (https://github.com/mhogomchungu/media-downloader) to download youtube playlists. Works well except downloaded videos are in webm. How to download/convert to mp4?

I am currently using Media Downloader to backup my entire YouTube channel. The program does pretty much everything I need but two things: I would also like to extrapolate the Metadata (video descriptions, tags, etc...) for each video I download.

Try Media Downloader. The default is 4 concurrent downloads but you can change it to as many as you want in the configure tab.

When we replace our phones, we reset the old ones and turn them into kid phones. I will save offline copies of different YouTube videos, movies, etc. for local playback.

Media Downloader: https://github.com/mhogomchungu/media-downloader

Continuing the previous post we'll now transform the shell script into a Python one. We want an integration with Python to pull feeds from YouTube directly, so we must, first of all, transform the original instructions into Python API calls. This will enable yt-dlp to directly download the necessary videos avoiding the whole channel every time, which might result in IP throttling or temporary bans.

#!/usr/bin/env bash set -euo pipefail URL="${1}" DST_DIR='/srv/http/videos' # YouTube changes frequently, we keep the program always up to date like this. . .venv/bin/activate pip install -U yt-dlp pushd "${DST_DIR}" # Reason to recode to webm: # https://github.com/yt-dlp/yt-dlp/issues/775#issuecomment-904271715 yt-dlp "${URL}" \ --verbose \ --fixup detect_or_warn \ --prefer-ffmpeg \ --sub-langs "en,it" \ --write-subs \ --embed-subs \ --write-auto-sub \ --prefer-free-formats \ --no-call-home \ --no-overwrites \ --recode webm \ --add-metadata \ --write-thumbnail \ --convert-thumbnails png \ --exec "echo \"%(title)s\" > ${DST_DIR}/%(id)s/title.txt" \ --exec "echo \"%(description)s\" > ${DST_DIR}/%(id)s/description.txt" \ --output "${DST_DIR}/%(id)s/%(id)s.%(ext)s" popd

For those who like open-source workflows, OpenAI Whisper is powerful and accurate — but it does come with a bit of a learning curve. You’ll need to extract the audio from the YouTube video (via yt-dlp or similar), and then process it using Whisper on your local machine.

Stars: 101672 Author: yt-dlp Star the yt-dlp repository⭐

curl -L -o yt-dlp https://github.com/yt-dlp/yt-dlp/releases/latest/download/yt-dlp chmod a+rx yt-dlp

Go to the yt-dlp Releases page and download the yt-dlp.exe file.