# Spotify Search Scraper (`powerai/spotify-search-scraper`) Actor

Search Spotify by keyword and category, collecting results metadata with rich fields for analysis, discovery, and research.

- **URL**: https://apify.com/powerai/spotify-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Social media, Other, Integrations
- **Stats:** 7 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🎧 Spotify Playlist Search Scraper

Search Spotify playlists by keyword and collect playlist metadata for analysis, discovery, and research. Each scraped playlist record includes a `scrapedAt` timestamp so you can track when the data was retrieved.

### ✨ What You Get

- 🎵 Playlist results from your search keyword (`q`)
- 🧾 Rich playlist metadata (for example: `uri`, `name`, `description`)
- 🖼️ Optional image information for the playlist
- 👤 Owner information
- 🧠 Structured JSON output ready for downstream processing

### 🎯 Good For

- Content discovery and recommendation research
- Music/genre trend exploration
- Competitive playlist benchmarking
- Building searchable datasets for analytics
- Curator workflows and playlist dataset enrichment

### 📝 Input

| Parameter | Required | Description |
|-----------|----------|-------------|
| `q` | Yes | Search keyword (for example: `pop`, `hip hop`, `workout`). |
| `maxResults` | No | Maximum number of playlists to collect (default: `30`). |
| `gl` | No | Optional region code to influence search results (for example: `US`). |
| `type` | No | Search result category (allowed values: `albums`, `artists`, `episodes`, `genres`, `playlists`, `podcasts`, `tracks`, `users`). Defaults to `playlists`. |

#### Input Example

```json
{
  "q": "pop",
  "maxResults": 30,
  "type": "playlists"
  "gl": "US"
}
```

### 📦 Output

The actor returns a dataset of playlist records. Each record is a JSON object containing playlist fields plus `scrapedAt`.

#### Output Example

```json
[
  {
    "uri": "spotify:playlist:37i9dQZF1EQncLwOalG3K7",
    "name": "Pop Mix",
    "description": "<a href=spotify:playlist:37i9dQZF1EIZFhEj3Qdecv>The Chainsmokers</a>, ...",
    "images": {
      "items": [
        {
          "sources": [
            { "url": "https://pickasso.spotifycdn.com/image/...", "width": null, "height": null }
          ]
        }
      ]
    },
    "owner": { "name": "Spotify" },
    "scrapedAt": "2026-03-23T06:40:35.280Z"
  }
]
```

# Actor input Schema

## `q` (type: `string`):

Keyword to search for Spotify playlists (e.g. pop, hip hop, workout).

## `maxResults` (type: `integer`):

Maximum number of playlists to collect.

## `gl` (type: `string`):

Optional region code to influence the search results (e.g. US, GB, DE).

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

Choose the search result category. Allowed values: albums, artists, episodes, genres, playlists, podcasts, tracks, users.

## Actor input object example

```json
{
  "q": "pop",
  "maxResults": 30,
  "gl": "US",
  "type": "playlists"
}
```

# 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 = {
    "q": "pop",
    "maxResults": 30,
    "gl": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/spotify-search-scraper").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 = {
    "q": "pop",
    "maxResults": 30,
    "gl": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/spotify-search-scraper").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 '{
  "q": "pop",
  "maxResults": 30,
  "gl": "US"
}' |
apify call powerai/spotify-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/spotify-search-scraper"
        }
    }
}

```

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/NW03dI6n8eSniCIwx/builds/6Db3IY4mUJIUIxwTc/openapi.json