Spotify Automation — Music + Workflows

A personal automation project where I explored how to connect listening habits with meaningful, recurring actions.

What I built:

  • Set up a workflow using the Spotify API to pull recently played tracks and liked songs

  • Processed the data in n8n to extract mood and genre patterns

  • Designed triggers for weekly summaries and playlist suggestions, sent via Telegram or email

  • Added logging to track changing music preferences over time

Status: Internal-only / not live

The automation works locally, but is not connected to a public deployment yet.

Tools used:

→ Spotify Web API, Python scripting, n8n (self-hosted), Telegram Bot API

Why I made this:

I'm interested in how personal data (even music) can be turned into low-friction, useful workflows. This was a great space to explore API integration, data handling, and trigger-based automation in a creative setting.

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