Scraping Music Streaming Data: Spotify Charts and Artist Stats

Introduction Music streaming platforms generate massive amounts of data — from chart rankings to artist statistics. Whether you're building a music analytics dashboard, tracking emerging artists, or analyzing genre trends, scraping streaming data opens up powerful insights. In this tutorial, we'll build a Python scraper that collects Spotify chart data and artist statistics from publicly available sources. Setting Up the Environment import requests from bs4 import BeautifulSoup import pandas as pd import json import time # For handling JavaScript-rendered pages at scale # Get your API key at https://www.scraperapi.com?fp_ref=the52 SCRAPER_API_KEY = " your_key_here " BASE_URL = " http://api.scraperapi.com " Scraping Spotify Charts Data Spotify's public chart pages display top tracks by country and globally. Let's build a scraper for these: def scrape_spotify_charts ( country = " global " ): """ Scrape top tracks from Spotify charts page. """ url = f " https://charts.spotify.com/charts/v