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Youtube Music Album Listing Scraper

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Youtube Music Album Listing Scraper

Youtube Music Album Listing Scraper

alien_force/youtube-music-album-listing-scraper
Try for free

2 hours trial then $10.00/month - No credit card required now

Extract album details, track names, play counts, artist info, and more with the YouTube Music Album Scraper! 🎶 Simply input a YouTube Music album URL and get structured JSON data. Perfect for music analysis, trend tracking, or playlist building. Fast, efficient, and easy to use! 🚀

You can access the Youtube Music Album Listing Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "url": "https://music.youtube.com/playlist?list=OLAK5uy_mAWpL2_R3tGLfDvxDyydWDnpdyANSoJJU" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("alien_force/youtube-music-album-listing-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Youtube Music Album Listing Scraper API in Python

The Apify API client for Python is the official library that allows you to use Youtube Music Album Listing Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

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  • 4 monthly users

  • 1 bookmark

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified 17 days ago