# Spotify Playlist Analyzer: Followers & Play Counts

**Use case:** 

Analyze any Spotify playlist from its link: followers, track count, curator and the curator's followers, whether Spotify owns it, the date of the first and last track added, the total play count, and every track with its exact play count, position and the date it was added. Spot fake or inactive playlists before you pitch, monitor your placements, and export it all to CSV or Excel.

## Input

```json
{
  "startUrls": [
    "https://open.spotify.com/playlist/6zCID88oNjNv9zx6puDHKj",
    "https://open.spotify.com/playlist/37i9dQZF1DXcBWIGoYBM5M"
  ],
  "searchType": "tracks",
  "maxResultsPerSearch": 50,
  "scrapeDetails": true,
  "maxItemsPerResult": 1000,
  "includeIsrc": false,
  "includeCredits": false,
  "includeDiscography": false,
  "compareWithPreviousRun": false,
  "minFollowers": 0,
  "maxFollowers": 0,
  "excludeSpotifyPlaylists": false
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "image"
  },
  "name": {
    "label": "Playlist",
    "format": "text"
  },
  "followers": {
    "label": "Followers",
    "format": "number"
  },
  "trackCount": {
    "label": "Tracks",
    "format": "number"
  },
  "ownerName": {
    "label": "Owner",
    "format": "text"
  },
  "ownerFollowers": {
    "label": "Owner followers",
    "format": "number"
  },
  "lastTrackAddedAt": {
    "label": "Last track added",
    "format": "date"
  },
  "isSpotifyOwned": {
    "label": "By Spotify",
    "format": "boolean"
  },
  "url": {
    "label": "Link",
    "format": "link"
  },
  "ownerUrl": {
    "label": "Owner link",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Spotify Scraper: Artists, Tracks, Playlists, Podcasts Actor is ready to run with the inputs already set for "Spotify Playlist Analyzer: Followers & Play Counts". [Sign up or log in](https://console.apify.com/create-task-from-example/pE2FORprWPuDKLNxW) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Spotify Playlist Analyzer: Followers & Play Counts" task

The Spotify Scraper: Artists, Tracks, Playlists, Podcasts Actor will start running based on the input automatically. You can also change all the input fields, like spotify links, ids, isrcs or upcs, search for, and more, to match your specific use case.

### 3. Receive the "Spotify Playlist Analyzer: Followers & 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 image, playlist, followers, and more.

### 4. 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 "Spotify Playlist Analyzer: Followers & Play Counts" task via API](https://apify.com/epicscrapers/spotify-scraper.md).

## FAQ

### What does the Spotify playlist analyzer show?

Followers, track count, curator, curator's followers and playlist count, Spotify ownership, first and last track added dates, total play count and every track's play count.

### How do I spot a fake or bot playlist?

Compare followers with the play counts of its tracks and how often tracks are added. Many followers but tiny play counts, or huge sudden adds, are warning signs.

### How do I know if a playlist is still active?

lastTrackAddedAt is the date the curator last added a track, and every track has its own addedAt date. Inactive playlists rarely help a release.

### Does it return every track, not just the first 100?

Yes. Every track is listed up to Max tracks or episodes per result (1,000 by default). Raise it for very large playlists.

### Can I analyze many playlists at once?

Yes. Paste hundreds of playlist links, one per line. Each playlist is one row with its full track list.

### Can I monitor my playlist placements daily?

Yes. Turn on Compare with previous run and schedule the task. Each row adds followersChange and trackCountChange, and the track list shows your track's position.

### Does it work for Spotify's editorial playlists?

Yes, for any public playlist, including Spotify's own. isSpotifyOwned tells you which ones are editorial.

### Do I need to log in to Spotify?

No. Only public playlist data is read, without a Spotify account, API key or proxy setup.

### How much does it cost?

$0.004 per playlist with its full track list and every play count. Analyzing 100 playlists costs $0.40, with no start fee.

### Can I get each track's ISRC?

Yes. Turn on ISRC, UPC and label to add the ISRC and popularity of every track, for $0.001 per track.

## About this Actor

This example demonstrates how to use [Spotify Scraper: Artists, Tracks, Playlists, Podcasts](https://apify.com/epicscrapers/spotify-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/epicscrapers/spotify-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/epicscrapers/spotify-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).