Skip to content

Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).

License

Notifications You must be signed in to change notification settings

wizzdm/spotify-downloader

 
 

Repository files navigation

spotDL

spotDL

Download your Spotify playlists and songs along with album art and metadata

MIT License pypi version GitHub commits since latest release (by date) pypi downloads Contributors Discord

The fastest, easiest, and most accurate command-line music downloader

What spotDL does

  1. Downloads music from YouTube as an MP3 file
  2. Applies basic metadata gathered from Spotify such as:
    • Track Name
    • Track Number
    • Album
    • Album Cover
    • Genre
    • and more!

⚠ We have dropped the active development of spotDL v2 due to support and maintainability. No focused efforts will be made to resolve v2 specific issues.

Prerequisites

  • Python 3.6 or above (added to PATH)
  • FFmpeg 4.3 or above (added to PATH)

YouTube Music must be available in your country for spotDL to work. This is because we use YouTube Music to filter search results. You can check if YouTube Music is available in your country, by visiting YouTube Music.

Installation

Installing FFmpeg

Installing spotDL

  • Recommended Stable Version:

    pip install spotdl
  • Dev Version: (NOT STABLE)

    pip install https://codeload.github.com/spotDL/spotify-downloader/zip/dev

If you have trouble installing spotdl take a look at the extended installation guide here or ask for help in our discord server

On Termux

curl -L https://raw.githubusercontent.com/spotDL/spotify-downloader/master/termux/setup_spotdl.sh | sh

Usage

  • To download a song, run

    spotdl [trackUrl]

    example:

    spotdl https://open.spotify.com/track/0VjIjW4GlUZAMYd2vXMi3b?si=1stnMF5GSdClnIEARnJiiQ
  • To download an album, run

    spotdl [albumUrl]

    example:

    spotdl https://open.spotify.com/album/4yP0hdKOZPNshxUOjY0cZj?si=AssgQQrVTJqptFe7X92jNg
  • To download a playlist, run

    spotdl [playlistUrl]

    example:

    spotdl https://open.spotify.com/playlist/37i9dQZF1E8UXBoz02kGID?si=oGd5ctlyQ0qblj_bL6WWow
  • To search for and download a song, run, with quotation marks

    spotdl '[songQuery]'

    example:

    spotdl 'The Weeknd - Blinding Lights'

    Note: This is not accurate and often causes errors.

  • To resume a failed/incomplete download, run

    spotdl [pathToTrackingFile]

    example:

    spotdl 'The Weeknd - Blinding Lights.spotdlTrackingFile'

    Note: .spotdlTrackingFiles are automatically created when a download starts and deleted on completion

  • You can queue up multiple download tasks by separating the arguments with spaces

    spotdl [songQuery1] [albumUrl] [songQuery2] ... (order does not matter)

    example:

    spotdl 'The Weeknd - Blinding Lights' https://open.spotify.com/playlist/37i9dQZF1E8UXBoz02kGID?si=oGd5ctlyQ0qblj_bL6WWow ...

    Note: spotDL downloads up to 4 songs in parallel, so for a faster experience, download albums and playlist, rather than tracks.

pipx Isolated Environment Alternative

For users who are not familiar with pipx, it can be used to run scripts without installing the spotDL package and all the dependencies globally with pip. (Effectively skipping over the spotDL Installation step)

First, you will need to install pipx by running:

python3 -m pip install --user pipx
python3 -m pipx ensurepath

Next, you can jump directly to running spotDL with:

pipx run spotdl ...

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a guide on how to set up a development environment.

Contributors

contributors

Authors

  1. @ritiek for creating and maintaining spotDL for 4 years
  2. @rocketinventor for figuring out YouTube Music querying
  3. @MikhailZex for, never mind...

License

MIT

About

Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.2%
  • Shell 0.8%