SpotiApp

A local Shiny app to analyze and reorganize your Spotify playlists using clustering techniques

What it does

Clustering tab

• Select up to 2 of your playlists
• Run k-means or DBSCAN clustering on their tracks using artist and track features (popularity, duration, explicitness, release year, artist popularity, genre tags)
• Browse results by cluster, see a feature comparison chart, download clusters as CSV, or save them directly as new private playlists in your Spotify account

Backup tab

• Export any of your playlists as CSV
• Or download all of them at once as a ZIP (one CSV per playlist)

Key decisions:

• No audio features endpoint: Spotify deprecated /v1/audio-features (403 on apps created after ~2024). Features are derived from /v1/artists (popularity, genres) and track metadata (duration, explicit, release year).

Setup

1. Spotify credentials

Go to developer.spotify.com, create an app, and copy the Client ID and Client Secret. Under the app settings, add this Redirect URI:

http://127.0.0.1:1410/

Create a .Renviron file in the project root (use .Renviron.example as reference):

SPOTIFY_CLIENT_ID=your_client_id
SPOTIFY_CLIENT_SECRET=your_client_secret
SPOTIFY_CLIENT_REDIRECT_URI=http://127.0.0.1:1410/

Restart your R session after saving.

2. Install dependencies

renv::restore()

3. Run the app

shiny::runApp("spotify_app")

The app opens at http://127.0.0.1:3838. A browser window will prompt you to authorize your Spotify account.