Music-recommendation-System Using Spotify API

This project provides a Python script for extracting detailed music data from Spotify playlists using the Spotipy library. It offers functionalities like:

Retrieve track information (name, artists, album details, ID, popularity) Optionally fetch audio features (danceability, energy, key, etc.) for deeper analysis Organize extracted data in a pandas DataFrame for easy manipulation and analysis Getting Started:

Prerequisites:

Python 3.x Spotipy library (pip install spotipy) Pandas library (pip install pandas)

Spotify Access Token:

Create a developer account on Spotify: https://developer.spotify.com/ Obtain your Client ID and Client Secret Use these credentials to generate an access token through a process like the one outlined here: https://developer.spotify.com/documentation/web-api/concepts/access-token (Important: Do not share your Client Secret publicly!)

Using the Script:

Clone or download this repository. Replace the client Id and client secret with your own Get the playlist data Build a music recommendation system based on the collected data (consider privacy implications)