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Build Artist Profile Dataset for Music Research

Collect public Spotify artist records for research and enrichment from artist URLs or IDs, including profile and audience fields.

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Spotify Scraper — Artists, Tracks & Playlists
Spotify Scraper — Artists, Tracks & Playlistskhadinakbar/spotify-all-in-one-scraper
Type
Name
Spotify URL
Monthly Listeners
+6 fields
Text
Number
Boolean
List
Object

Input

Spotify URLs, URIs, or IDs:https://open.spotify.com/artist/3TVXtAsR1Inumwj472S9r4
Response format:concise
Max results:10

Output fields

Type
Name
Spotify URL
Monthly Listeners
Followers
Play Count
Publisher
Cover
Source
Scraped At

How it works

Sign up on Apify or log in

The Spotify Scraper — Artists, Tracks & Playlists Actor is ready to run with the inputs already set for "Build Artist Profile Dataset for Music Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build Artist Profile Dataset for Music Research" task

The Spotify Scraper — Artists, Tracks & Playlists Actor will start running based on the input automatically. You can also change all the input fields, like spotify urls, uris, or ids, response format, and more, to match your specific use case.

Receive the "Build Artist Profile Dataset for Music Research" 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 type, name, spotify url, 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 "Build Artist Profile Dataset for Music Research" task via API.

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