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applemusic-to-listenbrainz-import's Introduction

WARNING: NOT WORKING UNTIL APPLE INCLUDES ARTIST IN THEIR DATA EXPORT

AppleMusic-to-Listenbrainz-Import

A Python/Jupyter notebook to import historical streams from an Apple Music data export to Listenbrainz

Prerequisites

  • Apple Music Play Activity.csv from a data export - A history of all your listening activity from apple music
  • Your Listenbrainz user key - to authenticate with the API and associate with your account
  • Knowing your time zone. You need your time zone in TZ format.
    • You can easily find it here. Zoom out and click on your location. The time zone will appear on the top left next to a globe, like America/Los_Angeles. Click on it to copy.

Instructions for non-techies

Never used python? Don't have whatever a "Jupyter Notebook" program is? Follow these directions!

  1. Copy the URL for this page: https://github.com/s-crypt/AppleMusic-to-Listenbrainz-Import
  2. Go to https://colab.research.google.com/ and sign in
  3. Click Upload, then Github on the popup (or File->Upload if there is no popup)
  4. Paste the URL and hit enter
  5. Click on COLAB-ImportAppleMusicToListenbrainz.ipynb
  6. At the top left, click Runtime->Run All
  7. After a few seconds, a text box will show up below the code block (the rectangle with the word import a bunch of times). Paste your User Token in the text box after Please enter your user token: and hit enter
  8. Another text box will appear. Type or paste your timezone (you can find this above)
  9. A Browse... button will appear. Click it and select your freshly unzipped Apple Music Play Activity.csv from your data export
    1. Wait until it uploads. It may take a while depending on how large your music history is.
  10. Wait until the program is done processing
  11. Done! Your listen history from Apple Music is now in Listenbrainz

Instructions for techies

  1. Download the notebook
  2. Place in a folder containing the CSV, freshly extracted from the data export
  3. Open in a Jupyter notebook program (VSCode, Jupyter)
  4. Run all cells and answer the prompts

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