# Enrich a Clay table with podcast show data

**Use case:** 

Add a podcast-metadata column to a Clay table: paste one Apple Podcasts ID per row and get show name, publisher and RSS feed back. $4 per 1,000.

## Input

```json
{
  "items": [
    "1200361736"
  ],
  "testRun": true,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "deltaMode": false,
  "deltaName": "",
  "quietRunOutput": "summary",
  "notifyFormat": "auto",
  "maxNotificationsPerRun": 20,
  "columns": [
    "collectionId",
    "name",
    "publisher",
    "genres",
    "episodeCount",
    "feedUrl",
    "artworkUrl",
    "explicitness",
    "latestReleaseDate",
    "storeUrl",
    "country",
    "episodes",
    "episodeTitle",
    "episodeDescription",
    "episodeReleaseDate",
    "episodeDurationMs",
    "audioUrl",
    "episodeUrl",
    "episodeContentRating",
    "episodeArtworkUrl",
    "episodeGuid",
    "newEpisodeCount",
    "isNew",
    "firstSeenAt"
  ],
  "expandRows": false,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "query": {
    "label": "Podcast submitted",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Details",
    "format": "string"
  },
  "collectionId": {
    "label": "Apple Podcasts ID",
    "format": "string"
  },
  "name": {
    "label": "Podcast name",
    "format": "string"
  },
  "publisher": {
    "label": "Publisher",
    "format": "string"
  },
  "genres": {
    "label": "Genres",
    "format": "array"
  },
  "episodeCount": {
    "label": "Total episodes",
    "format": "number"
  },
  "feedUrl": {
    "label": "RSS feed",
    "format": "string"
  },
  "artworkUrl": {
    "label": "Cover art",
    "format": "string"
  },
  "explicitness": {
    "label": "Content rating",
    "format": "string"
  },
  "latestReleaseDate": {
    "label": "Latest episode date",
    "format": "string"
  },
  "storeUrl": {
    "label": "Apple Podcasts link",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "episodes": {
    "label": "Recent episodes (full list)",
    "format": "array"
  },
  "episodeTitle": {
    "label": "Episode title",
    "format": "string"
  },
  "episodeDescription": {
    "label": "Episode description",
    "format": "string"
  },
  "episodeReleaseDate": {
    "label": "Episode release date",
    "format": "string"
  },
  "episodeDurationMs": {
    "label": "Episode duration (ms)",
    "format": "number"
  },
  "audioUrl": {
    "label": "Episode audio URL",
    "format": "string"
  },
  "episodeUrl": {
    "label": "Episode page URL",
    "format": "string"
  },
  "episodeContentRating": {
    "label": "Episode content rating",
    "format": "string"
  },
  "episodeArtworkUrl": {
    "label": "Episode artwork",
    "format": "string"
  },
  "episodeGuid": {
    "label": "Episode GUID",
    "format": "string"
  },
  "newEpisodeCount": {
    "label": "New episodes this run",
    "format": "number"
  },
  "isNew": {
    "label": "Is this episode new?",
    "format": "boolean"
  },
  "firstSeenAt": {
    "label": "First seen on a run",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Apple Podcasts Scraper: Show & Episode Data Actor is ready to run with the inputs already set for "Enrich a Clay table with podcast show data". [Sign up or log in](https://console.apify.com/create-task-from-example/1NiS1l6d9OBCkgWCE) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Enrich a Clay table with podcast show data" task

The Apple Podcasts Scraper: Show & Episode Data Actor will start running based on the input automatically. You can also change all the input fields, like apple podcasts collection ids to look up, try it first — only process the first 5, and more, to match your specific use case.

### 3. Receive the "Enrich a Clay table with podcast show data" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as podcast submitted, found?, status, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Enrich a Clay table with podcast show data" task via API](https://apify.com/accountable_eel/podcast-lookup.md).

## About this Actor

This example demonstrates how to use [Apple Podcasts Scraper: Show & Episode Data](https://apify.com/accountable_eel/podcast-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/podcast-lookup.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/accountable_eel/podcast-lookup.md

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`).