Spotify-Playlist-Extractor

For someone who wants the information of one's own playlists.

Usage

To Extract the information below:

• Information of Favorite Tracks/Episodes, including:
  • Track Name
  • Artists Name (could be more than one artist)
  • Artists Type
  • Album Type
  • Album Name
  • Disc Number
  • Track Number
  • Durations_ms (literally track duration in milliseconds)
  • uri (spotify_api)
• Playlists Information, including:
  • playlist id (spotify_api)
  • playlist name
  • number of tracks in playlists
  • type of playlists (spotify_api)
• Information of Tracks in the Playlists Extracted Above: Including the exact same information as favorite tracks.

Before You Run, A Few Setup Steps

Step 1

Head to Spotify Developer Page.

Sign in with your spotify account, create a app with information below:

• App name: Feel Free to use whatever you want
• App Description: Feel Free to fill in whatever you want
• Redirect URIs: http://localhost:5000/callback IMPORTANT

• note that you can use other port, just make sure you also alter the port used in main.py.

Step 2

Create a file with file name .env under the same directory as main.py:

Which should contain the information below:

SECRET_KEY="random strings"
CLIENT_ID="get this from spotify development dashboard"
CLIENT_SECRET="get this from spotify development dashboard"

Step 3

Make sure you have python installed with packages below:

• flask
• datetime
• dotenv
• pandas
• urllib.parse
• requests

You could use pip install 'package name' to install them.

I personally use conda install 'package name'.

How to

Step 1

After the Setup Steps, head to the directory and run main.py with: python main.py or probably python3 main.py in some cases.

Step 2

If the script run successfully, there should be some messages like:

 * Running on all addresses (0.0.0.0)
 * Running on http://127.0.0.1:5000
 * Running on http://***.***.***.***:5000
Press CTRL+C to quit
 * Restarting with watchdog (fsevents)
 * Debugger is active!

Than head to your browser by ctrl+click the http://127.0.0.1:5000 link (if possible),

or open you browser and key in http://127.0.0.1:5000 manually.

• note that if you've changed the port been used, the link should use different port.

Step 3

If the browser shows up with:

Welcome to Spotify playlist extractor, plz login first! login in with spotify

Click the login with spotify link, which would redirect to spotify login page.

Check the user information which would be read by the program, agree with your own risks!

Step 4

Wait for a few seconds to probably few minutes until the browser pops up with all done! message.

The process time depends on the size of your playlists.

If Something Went Wrong

There should be some kind of error message, feel free to issue with your own error message.

Step 5

Head to the directory of the main.py there should be a csv folder now.

ALL the extracted information would be in that folder.

Why Extractor?

Actually, what I initially planned to write was something tranfer all my playlists and favorite/saved tracks from Spotify to Apple Music.

However the Apple Music API (MusicKit) costs several thousand NTD for a year......

Which is kind of ridiculous to pay for one-time activity.

AND I FOUND OUT THE PRICING AFTER I FINISHED THE CODING PART OF SPOTIFY API. LUL......

That's why......

Huh......Orzzzz

Reference

• Spotify for Development - Web API
• Spotify API OAuth - Automate Getting User Playlists (Complete Tutorial)
• Flask Documentation