Spotify Regression Analysis Data Scraper

This is a project I am working on for my Applied Regression Writing class. The goal of this tool is to pull in my entire Spotify library to try to build and analyze a multiple regression model with my playcount (retrieved from Last.fm) as the response variable and features of the track, such as tempo, duration, energy, etc. as the predictor variables. I decided to choose this project because it combines my 3 biggest passions, Computer Science, Data Analysis, and Music.

Prerequisites

This project requires the Spotipy, requests, matplotlib, numpy, statsmodels, and pandas libraries, which can be installed as follows:

pip install spotipy requests matplotlib numpy statsmodels pandas

Getting Started

To run this script, all you need to do is clone to your machine and create a file named config.py, which contains the following:

spotify_username = "YOUR USERNAME"
spotify_api_secret = "REDACTED"  # TODO I am still trying to make this work while remaining secure

lastfm_username = "YOUR USERNAME"

sample_size = 30

You can then run the script to collect the data with:

python "Data Scraper.py"

and run the script to analyze the data with:

python "Data Analysis.py"

Built With

• Spotipy - A framework to use Spotify's web API in python

Authors

• Frank Pasqualini