Build a release benchmark table with Spotify play counts

Created by

Khadin Akbar

Actor

Spotify Play Count Scraper

Build a release benchmark table with Spotify play counts. Automated data extraction with structured output for spreadsheets, CRMs, and AI agents. Powered by kha

Try for free

Spotify Play Count Scraperkhadinakbar/spotify-play-count-scraper

Track

Artists

Play Count

Album

+3 fields

Input

Spotify tracks, albums, playlists, or artists(required):https://open.spotify.com/album/6trNtQUgC8cgbWcqoMYkOR+1

Max track play counts:10

Output fields

Track

Artists

Play Count

Album

From

Spotify URL

Scraped At

How it works

Sign up on Apify or log in

The Spotify Play Count Scraper Actor is ready to run with the inputs already set for "Build a release benchmark table with Spotify play counts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a release benchmark table with Spotify play counts" task

The Spotify Play Count Scraper Actor will start running based on the input automatically. You can also change all the input fields, like spotify tracks, albums, playlists, or artists and max track play counts, to match your specific use case.

Receive the "Build a release benchmark table with Spotify play counts" 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 track, artists, play count, and more.