Soundcloud Tracks Search Scraper

Scrapes track data from Soundcloud search results. Provide keywords, and it returns structured track information in JSON.

Overview

This actor collects comprehensive data from Soundcloud's public search pages. It's built for developers who need to programmatically gather music data for analysis, integration, or research.

Key Features

• Keyword Search: Scrape tracks using an array of custom search terms.
• Detailed Data: Extracts title, artist, duration, play counts, likes, genre, upload date, and more.
• Result Limits: Configurable maxItems to control the number of tracks collected per keyword.
• Reliable Operation: Includes anti-blocking mechanisms to improve success rates.
• Structured Output: Returns clean JSON, downloadable in multiple formats (JSON, JSONL, CSV, Excel, etc.) via the Apify Storage tab.

How to Use

Configure the actor run with an input JSON object containing your search parameters.

Input Configuration

The actor requires an input object with the following properties:

Example Input

{
  "keywords": ["rain"],
  "maxItems": 30
}

Output

The actor's results are saved as a dataset. Each item is a JSON object representing a track, containing fields from the Soundcloud API.

Output Sample (Excerpt)

[
  {
    "title": "Rain",
    "permalink_url": "https://soundcloud.com/minh-huy-26/thunderstorm-and-rain-sounds-heavy-thunder-lightning-strike-ambience-for-relaxation",
    "description": "Thunderstorm and rain sounds...",
    "genre": "Soundtrack",
    "playback_count": 1278986,
    "likes_count": 10209,
    "duration": 10822812,
    "created_at": "2017-07-20T17:54:59Z",
    "tag_list": "Rain \"Thunderstorm \" thunder...",
    "user_id": 116636951
    // ... additional metadata
  }
]

Accessing Data: After the run completes, download the full dataset (JSON, CSV, Excel, etc.) from the Storage tab in the Apify console.

Use Cases

• Music trend and market research.
• Generating data-driven playlists.
• Monitoring content or artist popularity.
• Discovering new artists within specific genres.