# Apple Music Playlists by Keyword — Lofi, Workout, Study

**Use case:** 

Find the Apple Music playlists that match mood and genre keywords such as lofi, workout, study music, sleep and chill in the US storefront, for playlist research, pitching lists and music marketing. Each row has the search term, playlist ID, playlist title, Apple Music link and 1200x1200 artwork URL, up to 20 playlists per keyword.

## Input

```json
{
  "urls": [
    "https://music.apple.com/us/search?term=lofi"
  ],
  "queries": [
    "workout",
    "study music",
    "sleep",
    "chill"
  ],
  "type": "playlist",
  "country": "us",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "query": {
    "label": "Search",
    "format": "string"
  },
  "playlists": {
    "label": "Playlists",
    "format": "array"
  }
}
```

## How it works

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

The Apple Music Scraper Actor is ready to run with the inputs already set for "Apple Music Playlists by Keyword — Lofi, Workout, Study". [Sign up or log in](https://console.apify.com/create-task-from-example/uHNbqcxQCc4Lqtqlc) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Apple Music Playlists by Keyword — Lofi, Workout, Study" task

The Apple Music Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 apple music links, 🔎 search terms, and more, to match your specific use case.

### 3. Receive the "Apple Music Playlists by Keyword — Lofi, Workout, Study" 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 search and playlists.

### 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 "Apple Music Playlists by Keyword — Lofi, Workout, Study" task via API](https://apify.com/insights_data/apple-music-scraper.md).

## About this Actor

This example demonstrates how to use [Apple Music Scraper](https://apify.com/insights_data/apple-music-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insights_data/apple-music-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/insights_data/apple-music-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`).