# Apple Podcasts Search — Fast Official API (`quartz_apple_dnx/apple-podcasts-search-fast-api`) Actor

Search Apple Podcasts by keyword and storefront country through Apple's public Search API. Export ranked podcasts with IDs, creator, feed URL, genre, artwork, episode count, and exact query provenance.

- **URL**: https://apify.com/quartz_apple_dnx/apple-podcasts-search-fast-api.md
- **Developed by:** [Piven Core](https://apify.com/quartz_apple_dnx) (community)
- **Categories:** Social media, SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 1,000 apple podcast search results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Apple Podcasts Search — Fast Official API

Search Apple's public podcast catalog by keyword and storefront country and receive clean, ranked podcast rows.

Use it for **podcast discovery, competitor research, market research, creator discovery, catalog analysis, and automated podcast-data workflows** without a login, browser, proxy, cookies, or API key.

### Common use cases

- Discover podcasts returned for a target keyword
- Research competing shows and podcast niches
- Compare catalog results across Apple storefront countries
- Collect public podcast feed URLs when Apple returns them
- Feed ranked podcast metadata into spreadsheets or downstream workflows

### What you get

Each row preserves the source result order as `rank` and includes podcast ID, title, creator, Apple Podcasts URL, public feed URL when returned, genres, artwork, release date, episode/track count, source URL, and capture timestamp.

### Try it

```json
{"queries":["technology"],"countries":["us"],"maxRows":25}
```

### Source

The Actor uses Apple's documented iTunes Search API with `media=podcast` and `entity=podcast`.

Apple documents an approximate 20-call-per-minute limit, subject to change, so source requests are deliberately spaced by about 3.2 seconds.

Country is storefront context only; it is not listener geography.

### Pricing

Private factory target: **$0.25 per 1,000 saved podcast rows**, only if live cloud economics pass the existing 3× gate and exact PAY_PER_EVENT pricing is accepted.

### Important limitations

Search results represent Apple's returned catalog results for the selected keyword and storefront context. They are not listener counts, audience demographics, download estimates, or popularity guarantees. Missing source fields are not invented.

### About Piven Core

Built and maintained by **Piven Core** — focused data APIs and automation utilities for reliable, production-ready workflows.

Learn more: https://pivencore.com

# Actor input Schema

## `queries` (type: `array`):

One to 25 unique podcast search terms.

## `countries` (type: `array`):

One to four ISO two-letter Apple storefront country codes.

## `maxResultsPerQueryCountry` (type: `integer`):

Apple Search API result limit for each query/storefront request.

## `maxRows` (type: `integer`):

Hard cap on saved query × storefront × podcast rows.

## Actor input object example

```json
{
  "queries": [
    "technology"
  ],
  "countries": [
    "us"
  ],
  "maxResultsPerQueryCountry": 25,
  "maxRows": 25
}
```

# Actor output Schema

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

No description

## `summary` (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 = {
    "queries": [
        "technology"
    ],
    "countries": [
        "us"
    ],
    "maxResultsPerQueryCountry": 25,
    "maxRows": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("quartz_apple_dnx/apple-podcasts-search-fast-api").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 = {
    "queries": ["technology"],
    "countries": ["us"],
    "maxResultsPerQueryCountry": 25,
    "maxRows": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("quartz_apple_dnx/apple-podcasts-search-fast-api").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 '{
  "queries": [
    "technology"
  ],
  "countries": [
    "us"
  ],
  "maxResultsPerQueryCountry": 25,
  "maxRows": 25
}' |
apify call quartz_apple_dnx/apple-podcasts-search-fast-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,quartz_apple_dnx/apple-podcasts-search-fast-api"
        }
    }
}
```

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/gJI41tmyPR8Q3gLpT/builds/7AzBRsudGUB0CsnLS/openapi.json