# Apple Podcasts Directory and RSS Feed Finder (`adaptive_nightmare/podcast-lead-finder`) Actor

Discover podcasts by genre, keyword, and country with host names, episode counts, RSS feed links, and artwork. Useful for PR pitching and guest booking.

- **URL**: https://apify.com/adaptive_nightmare/podcast-lead-finder.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Lead generation, Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 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?

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

## Podcast Directory and Contact Finder

Discover podcasts across Apple Podcasts and RSS directories by genre, keyword, and country with host information, episode counts, and RSS feeds.

### Features

- Searches podcasts by topic, keyword, or host name.
- Filters by genre, country storefront, and result limits.
- Extracts primary RSS feed URLs, show websites, and Apple Podcasts links.
- Extracts host contact email addresses from public RSS feed metadata.
- Includes total episode counts, release dates, and high-resolution artwork.
- Operates proxy-free using public directory endpoints.

### Input parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `searchTerm` | String | `"AI"` | Topic, keyword, or genre (e.g. `AI`, `Startup`, `Health`, `Marketing`). |
| `country` | String | `"us"` | Regional storefront (e.g. `us`, `gb`, `ca`, `au`, `de`, `fr`, `in`). |
| `minEpisodes` | Integer | `5` | Minimum published episode count (filters out abandoned shows). |
| `maxPodcasts` | Integer | `50` | Maximum number of podcast records to collect. |

### Output format

`json
{
  "name": "The AI Breakdown: Daily AI News & Analysis",
  "artistName": "NLW",
  "trackCount": 420,
  "genres": ["Technology", "News", "Business"],
  "primaryGenre": "Technology",
  "feedUrl": "https://feeds.megaphone.fm/AIBREAKDOWN",
  "itunesUrl": "https://podcasts.apple.com/us/podcast/the-ai-breakdown/id1680633614",
  "artwork": "https://is1-ssl.mzstatic.com/image/thumb/Podcasts116/v4/...",
  "releaseDate": "2026-10-20T10:00:00Z",
  "country": "USA",
  "scrapedAt": "2026-10-20T12:00:00.000Z"
}
`

### Use cases

- Guest booking: Find relevant shows and contact hosts directly for interview pitches.
- Sponsorship sales: Source podcasts matching target audience demographics.
- PR research: Identify influential industry podcasts for executive appearances.
- Directory enrichment: Build structured podcast databases with verified RSS feeds.

### Pricing and efficiency

- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.

# Actor input Schema

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

Topic, industry, or genre (e.g. AI, Startup, Marketing, True Crime, Health, Finance, Comedy).

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

Two-letter country code for regional podcast charts and results.

## `minEpisodes` (type: `integer`):

Only include podcasts with at least this many published episodes (filters out abandoned test shows).

## `maxPodcasts` (type: `integer`):

Maximum number of podcast records to collect.

## `proxyConfiguration` (type: `object`):

Apify proxy settings (optional).

## Actor input object example

```json
{
  "searchTerm": "AI",
  "country": "us",
  "minEpisodes": 5,
  "maxPodcasts": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "searchTerm": "AI"
};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/podcast-lead-finder").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 = { "searchTerm": "AI" }

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/podcast-lead-finder").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 '{
  "searchTerm": "AI"
}' |
apify call adaptive_nightmare/podcast-lead-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/podcast-lead-finder"
        }
    }
}
```

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/lMTyRbOoP7LWJjgdP/builds/2fAw4fsZEV4eIXwwj/openapi.json