Scraping Music Royalty and Licensing Data with Python

Music royalty data is one of the most fragmented datasets in any industry. Rights holders, publishers, PROs (Performance Rights Organizations), and streaming platforms all track different slices of the same pie. Scraping and unifying this data unlocks real value for artists, labels, and music tech companies. Why Music Royalty Data? Artists want to verify they're getting paid correctly Labels need to audit sub-publisher payments across territories Music tech startups build royalty tracking dashboards Investors use streaming data for catalog valuation The data exists publicly on sites like ASCAP, BMI, and streaming analytics platforms, but nobody aggregates it well. Setting Up pip install requests beautifulsoup4 pandas Scraping Public Performance Data ASCAP and BMI both offer public repertory searches: import requests from bs4 import BeautifulSoup import pandas as pd from datetime import datetime import time SCRAPER_API_KEY = " YOUR_KEY " def search_ascap_repertory ( title : str = "" , w