Spotify Album Play Count Scraper 🎧📈 -Cheap

Spotify Album Play Count Scraper 🎧📈 -Cheap

by scrapestorm

Extract Spotify album data like play counts, tracklists, and popularity. Perfect for analyzing music trends, tracking song performance, and music industry research.

147 runs
8 users
Try This Actor

Opens on Apify.com

About Spotify Album Play Count Scraper 🎧📈 -Cheap

Ever wondered how many times your favorite album's tracks have actually been played on Spotify? Getting that specific play count data can be a real headache. That's where this Spotify Album Play Count Scraper comes in. I built it to pull all the album details you need without the fuss: the album name, release date, total number of tracks, and the cover art. More importantly, it digs into the tracklist to get the individual play count for every song, along with its duration, popularity score, and direct Spotify links. I use it myself for a few key things. If you're analyzing music trends, this data is gold for seeing which songs from an album are truly resonating. For artists or managers, it's a straightforward way to track song performance over time without manual checking. It's also super handy for research projects, market analysis, or even creating data-driven content about the music industry. You just point it at the Spotify album URLs you're interested in, and it handles the extraction, delivering everything in a clean, structured format ready for your spreadsheet or analysis tool. It's a simple, cost-effective way to get the numbers behind the music.

What does this actor do?

Spotify Album Play Count Scraper 🎧📈 -Cheap is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Spotify Album Play Count Scraper

Extract detailed album and track data from Spotify, including play counts, for music analysis and content creation.

Overview

This actor scrapes Spotify album pages to retrieve structured data. Provide a list of album URLs, and it returns metadata for the album and all its tracks. The output is useful for analyzing song popularity, conducting market research, or generating content.

Key Features

  • Full Album Data: Fetches the album name, artist, release date, and total track count.
  • Detailed Track Information: Returns an array for every track, including:
    • Track title and artist.
    • Spotify URI and formatted duration.
    • Play count (where available).
    • Track number, disc number, and saved status.
  • Unlimited Input: Process as many album URLs as needed in a single run.
  • Multiple Export Formats: Download results as JSON, CSV, XML, Excel, or HTML.

How to Use

  1. Sign up or log in to your Apify account.
  2. Open the Spotify Album Play Count Scraper actor.
  3. Configure your input (see below).
  4. Run the actor and wait for completion.
  5. Download the dataset in your preferred format from the actor's run console.

Input

The actor requires a JSON input containing an array of Spotify album URLs.

{
  "urls": [
    "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw",
    "https://open.spotify.com/album/6kZ42qRrzov54LcAk4onW9"
  ]
}

Note: URLs must follow the exact format https://open.spotify.com/album/ALBUM_ID.

Output

The dataset contains a structured object for each scraped album. Below is a simplified example.

{
  "album_name": "Taylor Swift (Deluxe Edition)",
  "album_uri": "https://open.spotify.com/intl-fr/album/5eyZZoQEFQWRHkV2xgAeBw",
  "artist_name": "Taylor Swift",
  "release_date": "2006-10-24T00:00:00Z",
  "total_tracks": 15,
  "tracks": [
    {
      "name": "Tim McGraw",
      "artist_name": "Taylor Swift",
      "uri": "https://open.spotify.com/track/2Fn01AIMyHbha2ceNQeOqw",
      "duration_formatted": "3:52",
      "playcount": "154192211",
      "track_number": 1,
      "disc_number": 1,
      "saved": false
    }
    // ... more tracks
  ]
}

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Spotify Album Play Count Scraper 🎧📈 -Cheap now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
scrapestorm
Pricing
Paid
Total Runs
147
Active Users
8
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

Learn more about Apify

Need Professional Help?

Couldn't solve your problem? Hire a verified specialist on Fiverr to get it done quickly and professionally.

Find a Specialist

Trusted by millions | Money-back guarantee | 24/7 Support