YTMusic2listenbrainz.py

README.md

Submit Your YouTube Music Watch History to Listenbrainz

This script allows you to submit your YouTube Music watch history to Listenbrainz.

Prerequisites

1. Python 3.x installed on your computer.
2. An active Listenbrainz account.
3. Your YouTube Music watch history file from Google Takeout.

Instructions

Step 1: Download Your YouTube Watch History

• Visit Google Takeout.
• From the list of data to include, deselect all except for YouTube and YouTube Music.
• Within the YouTube and YouTube Music section, select only history and then watch history.
• Click Next step and follow the prompts to download your watch history, which will be provided as a watch-history.json file.

Step 2: Prepare Your Environment

1. Download YTMusic2listenbrainz.py script from this repository.
2. Place your watch-history.json file in the same directory as the YTMusic2listenbrainz.py script.
3. Enter your listenbrainz_token in YTMusic2listenbrainz.py.

Step 3: Run the Script

Open a terminal or command prompt and navigate to the directory containing the script and your watch history file. Run the script with the following command:

python3 YTMusic2listenbrainz.py

Step 4: Verify Your Submission

After running the script, log in to your Listenbrainz account to verify that your watch history has been submitted successfully.

YTMusic2listenbrainz.py

import requests
import json
import re
from datetime import datetime
import time

# your token here
listenbrainz_token = '<enter yout token here>'
# the earliest timestamp you want to submit from. 
min_timestamp = 963792000

def batch(iterable, n=1):
    l = len(iterable)
    for ndx in range(0, l, n):
        yield iterable[ndx:min(ndx + n, l)]

with open('watch-history.json', 'r', encoding='utf-8') as file:
    json_data = json.load(file)

def submit_to_listenbrainz(data, token):
    headers = {
        'Authorization': f'Token {token}',
        'Content-Type': 'application/json'
    }
    listenbrainz_url = 'https://api.listenbrainz.org/1/submit-listens'

    listens = []
    for entry in data:
        timestamp = entry['time'].replace('Z', '+00:00')
        listened_at = int(datetime.fromisoformat(timestamp).timestamp())
        if (listened_at < min_timestamp):
            continue
        if (entry["header"] == "YouTube"):
            continue
        if 'subtitles' not in entry:
            continue
        if entry['subtitles'][0]['name'] == ' - Topic':
            continue

        track_metadata = {
            'artist_name': re.sub(r'\s-\sTopic$', '', entry['subtitles'][0]['name']),
            'track_name': re.sub(r'^Watched\s', '', entry['title']),
            'additional_info': {
                'music_service': 'music.youtube.com',
                'origin_url': entry['titleUrl'],
                'submission_client': 'https://gist.github.com/fuddl/e17aa687df6ac1c7cbee5650ccfbc889',
            }
        }
        listens.append({
            'listened_at': listened_at,
            'track_metadata': track_metadata
        })


    responses = []
    for listen_batch in batch(listens, 1000):
        payload = {
            'listen_type': 'import',
            'payload': listen_batch
        }
        response = requests.post(listenbrainz_url, headers=headers, data=json.dumps(payload))
        time.sleep(int(response.headers['X-RateLimit-Reset-In']))
        print(response)
        responses.append(response)
    return responses

response = submit_to_listenbrainz(json_data, listenbrainz_token)
print(response)

Hello, I stumbled upon this post and noticed that it worked great, albeit for the little data that the watch-history.json made. I downloaded the watch-history.html instead, which contains the entire watch history. I created a script and thought you all would like to know. I took heavy inspo from you, thanks a ton for your hard inital work @fuddl!

@brend-an @elliaster

My script can be found here: https://github.com/BlakeAlvarez/YTMusic-ListenBrainz-Importer.git as ytmusic-listenbrainz-importer.py

Please feel free to critique or comment on any changes needed to be done, I would love feedback or tips!

"Watched" is localized, so the removal will not work for languages other than english, I guess it's based on the account language.