Skip to main content

YouTube video/music downloader with metadata tagging and cover art

Project description

YoutubeSnoop

A Youtube downloader of the highest quality


Installation

You can install it via pip:

$ pip install youtube_snoop

Prerequisites

  • ffmpeg must be installed and available in your PATH.

Usage

A simple command-line tool that downloads Youtube videos in the highest quality available.

Just provide a Youtube URL:

$ youtubesnoop https://www.youtube.com/watch?v=dQw4w9WgXcQ

It will download single tracks to this format:

{title}.flac

Downloading Album Playlists

Provide a playlist URL and it will create a folder for the artist and nest it with the year and album title:

{artist}/{year} - {albumTitle}

This fits my personal need to download albums from Youtube playlists.

Each track will be named like this:

{tracknumber}. {title}.flac

It will try to infer the metadata from the playlist and set it in the downloaded files. Otherwise it will prompt you for it. It uses the mutagen library to set the metadata and beets to fix any mistakes. It uses musicbrainzngs to download cover art as Cover.jpg or Cover.png and place it in the folder and added to the metadata of each track.

Videos

It downloads as flac files per default but with the --video flag it will download the video as mp4 instead.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

youtubesnoop-0.0.1.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

youtubesnoop-0.0.1-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file youtubesnoop-0.0.1.tar.gz.

File metadata

  • Download URL: youtubesnoop-0.0.1.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for youtubesnoop-0.0.1.tar.gz
Algorithm Hash digest
SHA256 44caeea9f93328bc27d3891daeeb63911d4956853f88f59a1e4610d4971f21d0
MD5 b1a21b533d997ae0403961849db7fc3b
BLAKE2b-256 80de61725af0286254138af203d029602a28540a3273fe54764f1cfe9fe438db

See more details on using hashes here.

File details

Details for the file youtubesnoop-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for youtubesnoop-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 baee5006ba352c3fdd4c14dbe86d9a57cd7586f8953505054592ab38042131e1
MD5 9c2b5113200c8e817987821e941b6ce6
BLAKE2b-256 b61d5a91ee847e8adb7655145e1a6e2ece50cca8dd63ab0b0e3b4aeacbf5da2e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page