Collect Playlist Dataset for Programming Analysis

Created by

Khadin Akbar

Actor

Spotify Scraper — Artists, Tracks & Playlists

Scrape public Spotify playlists to analyze curation, owners, and track lists from playlist URLs or search queries.

Try for free

Spotify Scraper — Artists, Tracks & Playlistskhadinakbar/spotify-all-in-one-scraper

Type

Name

Spotify URL

Monthly Listeners

+6 fields

Input

Spotify URLs, URIs, or IDs:https://open.spotify.com/playlist/37i9dQZF1DXcBWIGoYBM5M

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 "Collect Playlist Dataset for Programming Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect Playlist Dataset for Programming Analysis" 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 "Collect Playlist Dataset for Programming Analysis" 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 "Collect Playlist Dataset for Programming Analysis" task via API.