From-BillBoard-To-Spotify

• Demo Video: here

Features

• A terminal-based application which creates playlists of top 100 songs according to Billboard on Spotify.
• This program takes a date as input from the user, then using Beautiful Soup, it scrapes the Billboard hot-100 songs for the week with that date.
• Using the data collected, the program then searches spotify for those songs and adds them to a playlist linked to the user's account (Authorization Required!).

Requirements and Running the Project

• The project uses the following libraries as dependencies (can be sourced from https://pypi.org/)

  • bs4 (BeautifulSoup)
  • spotipy (https://pypi.org/project/spotipy/)
  • os (usually part of Python 3.x installations)
  • requests (usually part of Python 3.x installations)
  • dotenv (to load environment variables)

• Before you can use the application, you will need to create an application on the Spotify developer's portal (https://developer.spotify.com/).

• To allow the program to create a new playlist in your account, you will need to set up a .env file in the project root as follows:

    CLIENT_ID=YOUR_SPOTIFY_CLIENT_ID
    CLIENT_SECRET=YOUR_SPOTIFY_CLIENT_SECRET

• Once the dependencies are installed and the environment variables are set, you can run the game by:

python main.py

Scope For Improvement

• The project currently uses a very naive match of deciding if two songs are similar, this can be improved upon.

Authors

• @Vidhish-Trivedi