Spotify-Scrapping-Analysis

Introduction

The Spotify Playlist Data Extraction and Analysis project leverage Selenium to dynamically scrape data from Spotify playlists. The primary objective is to collect comprehensive information, including playlist details, song names, artists, albums, and song durations for subsequent analysis.

Features

• Extracts data from Spotify playlists, including playlist details, song names, artists, albums, and song durations.
• Performs analysis on the extracted dataset to derive meaningful insights.

Prerequisites

• Python 3.x
• Selenium
• ChromeDriver (or other WebDriver compatible with Selenium)
• Pandas (for data manipulation and analysis)

Setup

1. Clone the repository:

   git clone https://github.com/Rohit131313/Spotify-Scrapping-Analysis.git
   

2. Open and run the following notebooks:

• Spotify-data-scrapping-by-selenium.ipynb

• Analysis-of-Spotify-dataset.ipynb

Contributing

We welcome contributions from the community. To contribute to the project:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and submit a pull request.