import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import spotipy import os %matplotlib inline Reading the Data You can find the full code for this project on GitHub. In the code below, I imported Spotipy and some other basic libraries for data manipulation and visualization. pip install spotipyĪfter installing Spotipy, you will need to create an app on the Spotify Developer’s page and save your Client ID and secret key. You can install Spotipy with pip using the command below.

In this project, I used Spotipy to fetch data for songs that did not exist in the original Spotify Song Dataset that I accessed from Kaggle.

Spotipy is a Python client for the Spotify Web API that makes it easy for developers to fetch data and query Spotify’s catalog for songs. In this article, I will demonstrate how I used a Spotify song dataset and Spotipy, a Python client for Spotify, to build a content-based music recommendation system. We can use this data to build music recommendation systems that recommend songs to users based on both the audio features and the metadata of the songs that they have listened to. Interestingly, Spotify has a web API that developers can use to retrieve audio features and metadata about songs such as the song’s popularity, tempo, loudness, key, and the year in which it was released. Have you ever wondered how Spotify recommends songs and playlists based on your listening history? Do you wonder how Spotify manages to find songs that sound similar to the ones you’ve already listened to?

Spotify advanced search