🎵 Amazon Music to Spotify Playlist Converter

Amazon Music does not currently offer a public API for developers, making it difficult to programmatically access or transfer playlists. To work around this limitation, this project uses GUI automation to scrape song data directly from public Amazon Music playlist web pages. Once extracted and cleaned, the script leverages Spotify’s Web API to recreate the exact same playlist on the user’s Spotify account — enabling seamless migration between platforms.

The tool now includes two main workflows:

• main.py – Interactive mode where the user pastes a playlist URL and can choose to:
  • Create a new Spotify playlist
  • Sync (update) an existing playlist if one with the same name is found
• sync.py – Automated mode that reads playlist URLs from a text file and syncs them all without user prompts.

In addition to the command-line interface, the project now includes a desktop GUI, which provides:

• A visually styled interface with dark mode
• Real-time logs of scraping and uploading processes
• Prompted input collection through popup dialogs
• Easy-to-use buttons for starting or exiting the conversion

This makes the entire playlist transfer experience more user-friendly and accessible.

Features

• Works on Windows and macOS with automatic Chrome path detection.
• Scrapes song titles and artists from Amazon Music using simulated GUI actions.
• Cleans and formats raw data for accuracy.
• Recreates the playlist on Spotify with real track matching.
• Detects duplicate playlist names and gives the option to sync instead of creating a duplicate.
• Batch-sync multiple playlists from a .txt file using sync.py.
• Logs unfound songs for review.
• Multithreaded search for faster execution.
• Organized output folders: music_data/, not_found_songs/

Tools & Libraries Used

• pyautogui, pyperclip – GUI automation
• spotipy – Spotify Web API wrapper
• pandas, csv, re – Data parsing and cleaning
• requests, dotenv, concurrent.futures, logging, os, sys, subprocess, time, random – Utility & network handling
• PyQt5 – Desktop GUI for visual control and user input

Installation

git clone https://github.com/AshvikMishra/trackSwap
cd trackSwap
pip install -r requirements.txt

Environment Setup

Create a .env file in your project directory and add the following:

SPOTIPY_CLIENT_ID=your_spotify_client_id
SPOTIPY_CLIENT_SECRET=your_spotify_client_secret
SPOTIPY_REDIRECT_URI=http://127.0.0.1:8000/callback

Get these details by making a spotify developer account and application here.

Usage

Interactive Mode

python main.py

1. Paste your Amazon Music public playlist link when prompted.
2. The script scrapes songs and saves raw data.
3. It cleans and processes the data.
4. It will create the playlist and upload the found tracks.

Automatic Mode

python sync.py

1. Add one playlist URL per line in playlists.txt.
2. The script will automatically scrape, process, and sync all listed playlists.

Output Folders

• music_data/amazon_playlist_raw.txt : Raw extracted text
• music_data/amazon_playlist.csv : Cleaned playlist data
• not_found_songs/ : Songs that couldn’t be matched on Spotify

Troubleshooting

• Ensure your Amazon Music playlist is public and fully loaded before scraping (increase the time.sleep() on slower connections).
• Run in a clean desktop environment to avoid interference with GUI automation.
• Use a fresh Spotify token if facing authentication errors.
• If browser is not found then change it's directory in scraper.py

License

MIT License