# Apple Podcasts Scraper — Shows, Episodes & Reviews (`buy-it/apple-podcasts-scraper`) Actor

Scrape Apple Podcasts shows, episodes, and reviews via public iTunes APIs. Search by name or paste a podcast URL/ID. Pay per result.

- **URL**: https://apify.com/buy-it/apple-podcasts-scraper.md
- **Developed by:** [Ioannis Kokkinis](https://apify.com/buy-it) (community)
- **Categories:** AI, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 1,000 podcast rows

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 Scraper

Scrape Apple Podcasts **shows, episodes, and reviews** using the public iTunes Search/Lookup APIs and customer-review RSS. No browser.

### What you get

Depending on toggles, each dataset row is a `show`, `episode`, or `review` with ids, titles, feed/media URLs, ratings, and timestamps.

### How to use

1. Paste podcast names, Apple Podcasts URLs, or numeric collection IDs.
2. Pick country storefront and what to include (show / episodes / reviews).
3. Run. Cap spend with `maxItems` or Apify max total charge.

### Input

| Field | Description |
|---|---|
| `queries` | Names, URLs, or IDs |
| `country` | Storefront (default `us`) |
| `includeShow` / `includeEpisodes` / `includeReviews` | What to push |
| `maxEpisodesPerShow` / `maxShows` / `maxItems` | Caps |

### Pricing

Pay per dataset row. Failed queries are free and listed in key-value store `FAILED_QUERIES`.

### Notes

Uses Apple’s public iTunes endpoints. Respect Apple’s terms and rate limits. Related: [Website Contacts Scraper](https://apify.com/buy-it/website-contacts-scraper).

# Actor input Schema

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

Podcast show names, Apple Podcasts URLs, or collection IDs. Optional if includeCharts is enabled.

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

Two-letter iTunes storefront country code (us, gb, de, …).

## `includeShow` (type: `boolean`):

Push one row per matched show (name, feed URL, genres, rating).

## `includeEpisodes` (type: `boolean`):

Push episode rows from the iTunes lookup API.

## `includeReviews` (type: `boolean`):

Push customer reviews from the iTunes RSS feed.

## `includeCharts` (type: `boolean`):

Also scrape the Apple Podcasts top chart for the selected country (rank, name, artist).

## `chartLimit` (type: `integer`):

How many top-chart shows to return when includeCharts is on.

## `maxEpisodesPerShow` (type: `integer`):

Cap on episodes fetched per show.

## `maxShows` (type: `integer`):

When searching by name, how many matching shows to take.

## `maxItems` (type: `integer`):

Hard cap on dataset rows (shows + episodes + reviews + chart).

## Actor input object example

```json
{
  "queries": [
    "The Daily"
  ],
  "country": "us",
  "includeShow": true,
  "includeEpisodes": true,
  "includeReviews": true,
  "includeCharts": false,
  "chartLimit": 50,
  "maxEpisodesPerShow": 20,
  "maxShows": 5,
  "maxItems": 200
}
```

# Actor output Schema

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

One row per show, episode, or review. Download as JSON, CSV or Excel.

# 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": [
        "The Daily"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("buy-it/apple-podcasts-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 = { "queries": ["The Daily"] }

# Run the Actor and wait for it to finish
run = client.actor("buy-it/apple-podcasts-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 '{
  "queries": [
    "The Daily"
  ]
}' |
apify call buy-it/apple-podcasts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,buy-it/apple-podcasts-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/EbOJIVCztucbR8Fbl/builds/ieShJdqT66bQLxcxH/openapi.json