# Apple Podcasts Reviews, Episodes & Charts - Multi-Country (`tidynest/podcast-reviews-multi-country`) Actor

Reviews, episodes and national charts for any Apple Podcasts show. Sweeps storefronts and all 10 review pages: measured, one show returns 49 reviews in the US and zero in Canada, and each storefront serves up to 500 reviews rather than 50.

- **URL**: https://apify.com/tidynest/podcast-reviews-multi-country.md
- **Developed by:** [TidyNest Studio](https://apify.com/tidynest) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 60.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 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?

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

## Apple Podcasts Reviews, Episodes & Charts — Multi-Country

Everything Apple publishes about a podcast, in one run: **listener reviews from every storefront**,
the episode list, and national Top Shows charts.

### Why single-country podcast scrapers under-deliver (measured, not claimed)

Two things are true about Apple's public review feed, and most scrapers get both wrong:

**1. Reviews live in national storefronts, and coverage varies wildly per show.**

| Storefront | Crime Junkie | The Daily |
|---|---|---|
| 🇺🇸 US | 49 | 49 |
| 🇬🇧 GB | 49 | 49 |
| 🇨🇦 CA | **0** | 49 |
| 🇮🇳 IN | 38 | **1** |
| 🇯🇵 JP | 6 | 11 |

Query only Canada for Crime Junkie and you get **nothing** — for a show with thousands of reviews.

**2. Each storefront serves 500 reviews, not 50.** The feed paginates to page 10, 50 per page,
**with zero overlap between pages** (verified by comparing review IDs; page 11 errors out). A
scraper that reads page 1 leaves 90% behind.

**3. The same storefront goes empty and comes back.** Measured 20 minutes apart on the same day:
Crime Junkie's US feed served 49 reviews, then **0**, while GB and DE kept serving 50 and other
shows were unaffected. Apple returns an empty feed with HTTP 200 for a given (show, storefront)
pair from time to time — not a rate limit, not a bug on our side.

That is the real argument for sweeping storefronts: it is what makes the result **reproducible**.
A single-country scraper returns 500 reviews one day and zero the next, and tells you nothing.

This Actor sweeps the storefronts you pick, walks every page, and de-duplicates by review ID.

### What you get

- **Reviews**: rating, title, body, author, date, helpful votes, and the storefront it came from.
- **Show metadata**: publisher, genre, episode count, artwork, RSS feed URL.
- **Episodes** (optional): title, release date, duration, description, direct audio URL — up to
  200, which is Apple's cap.
- **National Top Shows charts** (optional), any country.

### Honest limits

- 500 reviews per storefront is Apple's ceiling, not ours. Sweeping more countries is how you go
  deeper — and it is why this Actor exists.
- Some storefronts return zero for some shows. That is Apple, not a failure: the row simply
  isn't there, and the log tells you which storefronts were productive.
- Apple caps the episode list at 200 per request.

### Sources

Official Apple endpoints only — iTunes Search and Lookup, the public customer-reviews RSS feed,
and Apple's marketing RSS charts. **No anti-bot circumvention, no proxies.** An Actor built on
hostile targets breaks the week its target changes; this one has no such failure mode.

### Input

```json
{
  "podcastIds": ["1322200189"],
  "countries": ["us", "gb", "ca", "au", "de", "fr"],
  "maxReviewsPerPodcast": 500,
  "includeEpisodes": true,
  "maxEpisodes": 50,
  "includeCharts": false
}
```

Pricing is per result row, so a run costs exactly what it returns.

# Actor input Schema

## `podcastIds` (type: `array`):

Numeric collection IDs, e.g. 1322200189 for Crime Junkie. Use the search field below if you only know the name.

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

Resolves the top matching show instead of using the ID list.

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

Two-letter codes. The storefronts that actually serve reviews differ per show - this is what single-country scrapers miss. Empty means a default list of 20.

## `maxReviewsPerPodcast` (type: `integer`):

Upper bound across all storefronts. Apple serves up to 500 per storefront (10 pages of 50).

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

Adds one row per recent episode: title, release date, duration, audio URL.

## `maxEpisodes` (type: `integer`):

Apple caps this at 200 - measured, not assumed.

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

Apple's Top Shows chart for each selected country.

## `chartSize` (type: `integer`):

How many shows per national chart.

## Actor input object example

```json
{
  "podcastIds": [
    "1200361736"
  ],
  "countries": [
    "us",
    "gb",
    "au",
    "ca",
    "de"
  ],
  "maxReviewsPerPodcast": 200,
  "includeEpisodes": true,
  "maxEpisodes": 20,
  "includeCharts": false,
  "chartSize": 50
}
```

# Actor output Schema

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

One row per review, episode or chart entry.

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

Same dataset as a spreadsheet.

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

The run in the Apify Console.

# 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 = {
    "podcastIds": [
        "1200361736"
    ],
    "countries": [
        "us",
        "gb",
        "au",
        "ca",
        "de"
    ],
    "maxReviewsPerPodcast": 200,
    "includeEpisodes": true,
    "maxEpisodes": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("tidynest/podcast-reviews-multi-country").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 = {
    "podcastIds": ["1200361736"],
    "countries": [
        "us",
        "gb",
        "au",
        "ca",
        "de",
    ],
    "maxReviewsPerPodcast": 200,
    "includeEpisodes": True,
    "maxEpisodes": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("tidynest/podcast-reviews-multi-country").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 '{
  "podcastIds": [
    "1200361736"
  ],
  "countries": [
    "us",
    "gb",
    "au",
    "ca",
    "de"
  ],
  "maxReviewsPerPodcast": 200,
  "includeEpisodes": true,
  "maxEpisodes": 20
}' |
apify call tidynest/podcast-reviews-multi-country --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tidynest/podcast-reviews-multi-country"
        }
    }
}

```

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/eaLvCtGHOsmU7kLDj/builds/ZsiT17av3xOiMrQGb/openapi.json