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Build a Spotify Playlist Analyzer

Create a dynamic app where users can input a Spotify playlist URL and analyze mood, tempo, top artists, genre distributions, and overall playlist insights — powered by Spotify API.

Why Build a Spotify Playlist Analyzer?

Music apps make data fun! Building this teaches you OAuth authentication, API handling, advanced data visualization (tempo, genres, mood), and real-time analysis dashboards — critical for media and entertainment projects.

Core Features of the Spotify Analyzer

Let users analyze Spotify playlists by extracting track data, calculating top genres, identifying top artists, determining playlist mood, and visualizing audio features like energy, danceability, and tempo.

Key Features to Implement

Fetch Playlist Songs and Audio Features

Get song details like title, artist, genre, mood (valence), tempo, and energy using Spotify Web API endpoints.

Visualize Playlist Stats

Show charts summarizing genres, top artists, mood distribution (happy/sad), and tempo range.

Mood and Energy Analysis

Classify playlists into categories like Chill, Party, Workout based on valence, energy, and tempo values.

Optional: Save Analyzed Playlists

Allow users to save their analysis reports or share them using a link.

How the Playlist Analyzer Works

Users input a Spotify playlist URL. The app authenticates using OAuth, fetches track metadata and audio features, analyzes the dataset, and presents interactive charts showing mood, genre breakdown, artist stats, and overall playlist dynamics.

  • User authenticates Spotify account to access playlists (OAuth 2.0 flow).
  • App fetches all tracks in the playlist and gathers audio features for each track (energy, valence, tempo).
  • Generate insights like top 5 genres, mood score, top artists, and danceability range.
  • Display visualizations like pie charts, bar graphs, and mood maps.
  • Optional: Users can download report or share via link.
Recommended Technology Stack

Frontend

Next.js, React.js, Tailwind CSS for stylish, interactive dashboard-like UIs

API Integration

Spotify Web API for fetching playlists, track metadata, audio features (OAuth needed)

Data Visualization

Chart.js, Recharts, or ApexCharts for displaying mood, genre, and artist stats visually

Authentication

OAuth 2.0 Authentication flow with Spotify to access user's playlists securely

Step-by-Step Build Guide

1. Set Up Spotify Developer Account and API Access

Create a Spotify Developer account, set up OAuth, and test fetching playlists with Postman or browser queries.

2. Build Playlist Fetch and Analyzer Core

Input Spotify playlist URL → fetch track IDs → fetch track metadata and audio features for analysis.

3. Visualize Analysis

Generate charts: top genres pie chart, top artists bar chart, mood distribution histogram, etc.

4. Polish UX and Add Optional Features

Enable users to save analyzed playlists, download mood reports, or share playlist insights.

5. Test, Optimize, and Deploy

Handle API rate limits, loading states, refresh tokens for long sessions, and deploy using Vercel or Netlify.

Helpful Resources for Spotify Analyzer Apps

Ready to Decode Your Music Taste?

Build your Spotify Playlist Analyzer today — reveal hidden patterns, find your top genres, and analyze playlists like a pro with stunning visuals!

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