A powerful unofficial scraper for extracting structured metadata from Apple Music web pages using web-scraping techniques and reverse-engineered serialized-server-data.
This tool is for educational purposes only and does not use any official Apple API.
- Functionalities
- Search for artists, songs, albums, playlists, and videos
- Extract song metadata and preview URLs
- Fetch album details including tracks, artist info, similar albums, and videos
- Scrape playlist and shared room song URLs
- Retrieve video metadata and direct video links
- Fetch full artist information including top songs, albums, biography, and more
- Clone or download the project
- Install dependencies:
pip install -r requirements.txt
- Import and use the scraper in your Python script:
result = search('night tapes') artists = result['artists'] artist_url = artists[0]['url'] artist = artist_scrape(artist_url) latest_night_tapes_song_url = artist['latest'] song = album_scrape(latest_night_tapes_song_url) song_name = song['title'] song_cover = song['image'] print(f"\nLatest Night Tapes Song: {song_name}\nCover Art: {song_cover}\n")
Each scraping function processes the serialized-server-data embedded in Apple Music’s webpage structure.
The scraper extracts metadata such as:
- Titles, URLs, artwork
- Track lists
- Preview links
- Album/artist relationships
- Related videos or albums
All results are returned as structured JSON objects for easy access in your applications.
The scraper returns JSON structures like:
{
"title": "Example Song",
"artist": "Example Artist",
"image": "https://example-image.jpg",
"preview": "https://example-preview.m4a",
"related": [...],
"songs": [...]
}You can log these results, display them in an interface, or process them however you like.
- This project is not affiliated with Apple Inc.
- It uses web scraping and may break if Apple changes its internal web structure.
- For educational and personal use only. Redistribution of scraped content may violate Apple Music’s Terms of Service.