# Podcast Metadata Scraper (`second_coming/podcast-metadata-scraper`) Actor

Extract podcast metadata from Apple Podcasts RSS feeds. Search by term via iTunes Search API or provide direct RSS feed URLs. Returns title, author, description, categories, episode count, durations, artwork, and rating estimates.

- **URL**: https://apify.com/second\_coming/podcast-metadata-scraper.md
- **Developed by:** [Richard P](https://apify.com/second_coming) (community)
- **Categories:** AI, Social media
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.02 / scan run

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/platform/actors/running/actors-in-store#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

# Actor input Schema

## `searchTerms` (type: `array`):

Search terms for the iTunes Search API to discover podcasts. Each term triggers a search against https://itunes.apple.com/search?media=podcast\&term=...

## `rssUrls` (type: `array`):

Direct podcast RSS feed URLs to parse. These bypass the iTunes search and are parsed directly for metadata.

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

Maximum number of podcast results to return per search term (1-200). The iTunes API returns up to 200 results per query.

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

Whether to extract individual episode metadata (title, duration, publish date, description) from each podcast RSS feed.

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

Maximum number of episodes to extract per podcast. Set to 0 for all episodes. Only applies when 'Include Episodes' is enabled.

## Actor input object example

```json
{
  "searchTerms": [
    "technology",
    "true crime"
  ],
  "rssUrls": [],
  "maxResults": 10,
  "includeEpisodes": true,
  "maxEpisodes": 5
}
```

# Actor output Schema

## `results` (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 = {
    "searchTerms": [
        "technology",
        "true crime"
    ],
    "rssUrls": [],
    "maxResults": 10,
    "includeEpisodes": true,
    "maxEpisodes": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("second_coming/podcast-metadata-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 = {
    "searchTerms": [
        "technology",
        "true crime",
    ],
    "rssUrls": [],
    "maxResults": 10,
    "includeEpisodes": True,
    "maxEpisodes": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("second_coming/podcast-metadata-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchTerms": [
    "technology",
    "true crime"
  ],
  "rssUrls": [],
  "maxResults": 10,
  "includeEpisodes": true,
  "maxEpisodes": 5
}' |
apify call second_coming/podcast-metadata-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=second_coming/podcast-metadata-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ZdREiNkJeaEWcpbsP/builds/PXZGCvVdtUdPqz5MR/openapi.json