itunes-library-to-csv

This program reads in an iTunes library (exported as Library.xml, File > Library > Export Library) and writes out CSV files of track name, artist, and album for each playlist.

Requirements

Python 3.x

Usage

generate-csv.py reads Library.xml and writes out the CSV files in the same folder.

To use, add Library.xml to this folder and then run the following command in the command prompt (Windows):

python generate-csv.py

Customization

You can modify two pieces of information to customize the script.

List of system-generated playlists to be ignored

system_list contains a list of iTunes-generated playlists to ignore. You can add or remove as you see fit.

system_list = [
    'Library','Downloaded','Music','Downloaded','Movies','Downloaded',
    'TV Shows','Podcasts','Audiobooks'
]

List of personal playlists to be ignored

custom_list is empty by default. Add any of your own playlists you wish to ignore here.

custom_list = []

List of playlist types to ignore

Finally, types contains playlist types I wanted to ignore. Again, edit these as you see fit.

types = ['Smart Info','Genius Track ID','Folder','Distinguished Kind']

Use case

I use the CSVs with gmusic-playlist to create new playlists in a Google Play Music account to match those in the iTunes library. It simply uses the CSV to search GPM using the tags from iTunes, so no guarantee it will find the correct songs!