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Enrich a music catalog with Spotify album data

Batch-resolve real Spotify albums into consistent metadata, labels, artwork variants, and nested track rows for a data pipeline.

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Spotify Album Metadata and Artwork Scraper
Spotify Album Metadata and Artwork Scraperautomation-lab/spotify-album-metadata-artwork
Spotify ID
Album
Artists
Release date
+6 fields
Text
Number
Boolean
List
Object

Input

Spotify album URLs or IDs(required):4aawyAB9vmqN3uQ7FjRGTy+1
Include normalized tracks:true
Maximum albums:2

Output fields

Spotify ID
Album
Artists
Release date
Label
Tracks
Artwork variants
Normalized tracks
Spotify URL
Scraped at

How it works

Sign up on Apify or log in

The Spotify Album Metadata and Artwork Scraper Actor is ready to run with the inputs already set for "Enrich a music catalog with Spotify album data". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Enrich a music catalog with Spotify album data" task

The Spotify Album Metadata and Artwork Scraper Actor will start running based on the input automatically. You can also change all the input fields, like spotify album urls or ids, include normalized tracks, and more, to match your specific use case.

Receive the "Enrich a music catalog with Spotify album data" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as spotify id, album, artists, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Enrich a music catalog with Spotify album data" task via API.

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