# AI-summarize the latest Podnews Daily episodes from RSS

**Use case:** 

Summarizes the two newest episodes of Podnews Daily from its RSS feed using the published Podcasting 2.0 transcripts and the hosted Claude model (fast tier): an abstract, key topics, timestamped chapters, notable quotes, named guests and action items per episode. Nothing to set up; tokens are included in the per-episode price.

## Input

```json
{
  "feeds": [
    "https://podnews.net/rss"
  ],
  "maxEpisodesPerFeed": 2,
  "summarizer": "hosted",
  "modelTier": "fast",
  "maxInputTokens": 40000,
  "maxConcurrency": 3,
  "maxSecondsPerFeed": 1800
}
```

## Output

```json
{
  "showTitle": {
    "label": "Show",
    "format": "text"
  },
  "title": {
    "label": "Episode",
    "format": "text"
  },
  "pubDate": {
    "label": "Published",
    "format": "date"
  },
  "durationSeconds": {
    "label": "Duration (s)",
    "format": "number"
  },
  "summaryMethod": {
    "label": "Method",
    "format": "text"
  },
  "modelTier": {
    "label": "Tier",
    "format": "text"
  },
  "transcriptSource": {
    "label": "Source",
    "format": "text"
  },
  "summary.abstract": {
    "label": "Abstract",
    "format": "text"
  },
  "summary.keyTopics": {
    "label": "Key topics",
    "format": "array"
  },
  "modelCostUsdEstimate": {
    "label": "Model cost (USD)",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

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

The Podcast Episode Summarizer (AI) — Transcript to Summary Actor is ready to run with the inputs already set for "AI-summarize the latest Podnews Daily episodes from RSS". [Sign up or log in](https://console.apify.com/create-task-from-example/gkhBWZjl8Dq6bhTin) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "AI-summarize the latest Podnews Daily episodes from RSS" task

The Podcast Episode Summarizer (AI) — Transcript to Summary Actor will start running based on the input automatically. You can also change all the input fields, like feeds, max episodes per feed, and more, to match your specific use case.

### 3. Receive the "AI-summarize the latest Podnews Daily episodes from RSS" 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 show, episode, published, 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 "AI-summarize the latest Podnews Daily episodes from RSS" task via API](https://apify.com/owlabee/podcast-episode-summarizer.md).

## About this Actor

This example demonstrates how to use [Podcast Episode Summarizer (AI) — Transcript to Summary](https://apify.com/owlabee/podcast-episode-summarizer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/owlabee/podcast-episode-summarizer.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/owlabee/podcast-episode-summarizer.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`).