# Spotify Album Play Count Scraper - Low-cost💲🔥📈🎶 (`delectable_incubator/spotify-album-play-count-scraper-low-cost`) Actor

🎧📊 Extract Spotify album data with ease. Collect album titles, release dates, cover images, total tracks, track play counts, durations, popularity scores, artist names and Spotify URLs. Ideal for music analytics, streaming research, trend analysis, playlist intelligence & entertainment datasets 🚀

- **URL**: https://apify.com/delectable_incubator/spotify-album-play-count-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Videos, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="PrimeScrape Spotify Album Play Count Scraper" width="100%">
</p>

***

## 🎵📈 Spotify Album Play Count Scraper | Bulk Spotify Album Scraper | Apify Actor

### 🚀 Extract Spotify Album & Track Play Counts in Seconds (No Code)

The **Spotify Album Play Count Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized Spotify scraping tool designed to extract album information, track details, and play counts from Spotify albums.

Perfect for music analytics, AI datasets, playlist research, artist monitoring, music marketing, trend analysis, and large-scale Spotify data collection.

***

### 🔥 Why This Spotify Scraper?

✔ Best Spotify Album Play Count Scraper on Apify

✔ Supports bulk album URL scraping (multi-URL mode)

✔ Extracts complete album metadata

✔ Retrieves track-by-track play counts

✔ Fast & scalable cloud extraction

✔ 100% structured JSON / CSV / Excel output

✔ Perfect for music analysts, labels, marketers & developers

✔ No coding required

***

### 🎯 What This Scraper Does (Spotify Album Data Extraction)

This Apify Actor extracts complete album information from public Spotify album pages.

#### 📌 Core Features

✅ Scrape Spotify albums

✅ Bulk album URL scraping (SEO BOOST 🚀)

✅ Extract album metadata

✅ Extract artist information

✅ Extract album cover

✅ Extract release date

✅ Extract total tracks

✅ Extract track names

✅ Extract track duration

✅ Extract track number

✅ Extract Spotify play counts

✅ Extract Spotify URLs

✅ Clean structured dataset output

✅ High-speed extraction engine

***

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK URL MODE (SEO BOOST 🚀)

```
{
  "urls": [
    "https://open.spotify.com/album/6JWc4iAiJ9FjyK0B59ABb4",
    "https://open.spotify.com/album/4aawyAB9vmqN3uQ7FjRGTy",
    "https://open.spotify.com/album/2ODvWsOgouMbaA5xf0RkJe",
    "https://open.spotify.com/album/3cfAM8b8KqJRoIzt3zLKqw",
    "https://open.spotify.com/album/1DFixLWuPkv3KT3TnV35m3"
  ]
}
```

***

### 📊 Extracted Spotify Data (Structured Output)

| Field | Description |
|------|-------------|
| albumId | Spotify album ID |
| albumName | Album title |
| artistName | Main artist |
| artistUrl | Spotify artist URL |
| albumUrl | Spotify album URL |
| releaseDate | Album release date |
| totalTracks | Number of tracks |
| albumImage | Album cover image |
| trackNumber | Track position |
| trackName | Track title |
| durationMs | Track duration |
| playCount | Spotify play count |
| trackUrl | Spotify track URL |

***

### 💡 Use Cases (High Demand SEO Keywords)

This Spotify scraper is perfect for:

🎵 Spotify album scraping

📈 Spotify play count tracking

🎧 Music popularity analysis

🏆 Artist performance monitoring

📊 Music industry analytics

🤖 AI training datasets

🎼 Playlist research

💼 Record label intelligence

📡 Music market research

⚡ Bulk Spotify data extraction

***

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk Spotify album URL support

📀 Album & track extraction

🎵 Track play count collection

📌 Automatic processing

🧠 Clean structured output

📊 High-speed scraping engine

🔁 Reliable cloud execution

💾 Export-ready datasets

⚙️ Scalable Apify Actor

***

### 📤 Output Formats Supported

✔ JSON (API ready)

✔ CSV (Excel compatible)

✔ Excel XLSX

✔ XML

✔ HTML

***

### 📦 Example Output

```
{
  "albumId": "6JWc4iAiJ9FjyK0B59ABb4",
  "albumName": "Album Name",
  "artistName": "Artist Name",
  "artistUrl": "https://open.spotify.com/artist/...",
  "albumUrl": "https://open.spotify.com/album/6JWc4iAiJ9FjyK0B59ABb4",
  "releaseDate": "2024-05-10",
  "totalTracks": 14,
  "albumImage": "https://i.scdn.co/image/...",
  "trackNumber": 1,
  "trackName": "Opening Song",
  "durationMs": 198534,
  "playCount": 143286542,
  "trackUrl": "https://open.spotify.com/track/..."
}
```

***

### 🔥 Why This is the BEST Spotify Album Scraper on Apify?

✔ Optimized for Apify marketplace ranking

✔ Bulk album URL support

✔ Fast Spotify scraping engine

✔ Track-by-track play count extraction

✔ Enterprise-ready scalability

✔ Clean structured datasets

✔ Perfect for SEO traffic & marketplace visibility

***

### 💸 Pricing

This scraper runs on a **pay-per-result** pricing model.

You only pay for successfully extracted records.

💳 **Price:** $2.89 / 1,000 results

***

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple Spotify albums at once?

Yes — bulk URL mode is fully supported.

#### Does it extract play counts?

Yes — every track includes its Spotify play count whenever publicly available.

#### Can I export the data?

Yes — JSON, CSV, Excel, XML and HTML are supported.

#### Is coding required?

No — this is a 100% no-code Apify Actor.

#### Is it suitable for large datasets?

Yes — designed for high-volume cloud scraping.

***

### ⚠️ Disclaimer

This tool is not affiliated with Spotify. It is an independent data extraction solution built for publicly accessible information.

***

### 🔗 Related Actors (Music & Data Scraping Ecosystem)

We are building the full **PrimeScrape Music Intelligence Suite.**

👉 Coming Soon 🚀

***

### 🌍 PrimeScrape Ecosystem

Built for data scraping, automation, AI training datasets and market intelligence at scale.

🎵 Music intelligence

📈 Market analytics

🤖 AI datasets

📊 Business intelligence

⚙️ Automation pipelines

🌐 Large-scale data extraction

***

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper.

📩 Contact us for custom scraping solutions, enterprise requests, or feature suggestions.

# Actor input Schema

## `urls` (type: `array`):

Spotify Albums URLs for Data fetching 🎧📊 (format 🚨: https://open.spotify.com/album/SPOTIFY_ALBUM_ID)

## Actor input object example

```json
{
  "urls": [
    "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw",
    "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM",
    "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw",
        "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM",
        "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/spotify-album-play-count-scraper-low-cost").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": [
        "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw",
        "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM",
        "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/spotify-album-play-count-scraper-low-cost").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://open.spotify.com/album/5eyZZoQEFQWRHkV2xgAeBw",
    "https://open.spotify.com/album/5meb7aKE722LA66ssBhvfM",
    "https://open.spotify.com/album/6DEjYFkNZh67HP7R9PSZvv"
  ]
}' |
apify call delectable_incubator/spotify-album-play-count-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/spotify-album-play-count-scraper-low-cost"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/YTncswjmcPa10bCJW/builds/Pz5KSZM2HFfDM5rEb/openapi.json