This script downloads the Spotify daily top songs in the USA from Jan 1st 2017 to today. It uses Selenium and the Spotify Charts website. Each day's data is placed in your downloads folder in CSV format.
You must have Google Chrome installed. However, you can modify the code to use any major browser you prefer.
Clone the repository
Install dependencies using PIP
pip install -U selenium
pip install webdriver-manager
pip install pandas
pip install python-dotenv
Create a .env file with the following variables:
SPOTIFY_USERNAME (Your Spotify username or email)
SPOTIFY_PASSWORD (Your Spotify password)
Run python main.py
Errors can happen if the script tries to click the download button before the page finishes loading. If you run into issues with it, either modify the starting date or increase the time.sleep() time.
You can use this data to make some pretty interesting visualizations. Here is an example of a bar race chart showing the most streamed tracks per day: https://public.flourish.studio/story/1429985/
