# Podchase Product Info Scraper (`getdataforme/podchase-productinfo-scraper`) Actor

The Podchase Product Info Scraper efficiently extracts detailed podcast data from Podchaser, including titles, descriptions, hosts, and categories....

- **URL**: https://apify.com/getdataforme/podchase-productinfo-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $9.00 / 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

## Podchase Product Info Scraper

The Podchase Product Info Scraper is a powerful tool designed to extract detailed information about podcasts from Podchaser. This Actor allows users to gather comprehensive data on podcasts, including titles, descriptions, hosts, categories, and more, enabling efficient data collection for various analytical purposes.

### Features

- **Comprehensive Data Extraction**: Collects detailed podcast information such as title, description, hosts, and categories.
- **High Data Quality**: Ensures accurate and up-to-date information directly from Podchaser.
- **Efficient Performance**: Quickly processes multiple URLs to provide timely results.
- **User-Friendly Interface**: Simple setup and execution with minimal configuration required.
- **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats for easy integration.
- **Automated Scraping**: Schedule and automate data extraction tasks for continuous updates.
- **Reliable and Scalable**: Built to handle large volumes of data efficiently.

### Input Parameters

| Parameter  | Type   | Required | Description           | Example                                                                 |
|------------|--------|----------|-----------------------|-------------------------------------------------------------------------|
| startUrls  | array  | Yes      | URLs to start with.   | `["https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907"]` |

### Example Usage

#### Example Input

```json
{
  "startUrls": [
    {
      "url": "https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907"
    }
  ]
}
```

#### Example Output

```json
[
  {
    "url": "https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907",
    "title": "Learn English with Coffee Break English",
    "description": "With Josie Dinwoodie and Mark Pentleton, 107 episodes...",
    "coverImage": "https://assets.pippa.io/shows/611ed01b06c05e6cb7f40e59/show-cover.jpg",
    "hosts": [
      {
        "name": "Josie Dinwoodie",
        "url": "/creators/josie-dinwoodie-107ta6Tr8v"
      },
      {
        "name": "Mark Pentleton",
        "url": "/creators/mark-pentleton-107ZzlOea8"
      }
    ],
    "network": "Coffee Break Languages",
    "categories": ["Education"],
    "episodeCount": 107,
    "podcastStatus": "Active",
    "startDate": "Feb 25th, 2020",
    "releasePeriod": "Weekly",
    "avgEpisodeLength": "17 minutes",
    "explicit": false,
    "language": "English",
    "feedUrl": "https://feeds.acast.com/public/shows/183d2cc4-50d2-420f-a306-40dae4a0bfa7",
    "websiteUrl": "https://coffeebreakacademy.com/",
    "communityRating": 0,
    "scrapedAt": "2026-05-03T08:05:37.682Z"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather insights into podcast trends and audience preferences.
- **Competitive Intelligence**: Monitor competitor podcasts and their performance.
- **Content Aggregation**: Compile podcast data for content curation platforms.
- **Academic Research**: Analyze podcast content for linguistic or cultural studies.
- **Business Automation**: Automate data collection for podcast directories.
- **Price Monitoring**: Track subscription models and pricing strategies.

### Installation and Usage

1. Search for "Podchase Product Info Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

### Output Format

The output is a JSON array where each object contains detailed information about a podcast, including fields like `url`, `title`, `description`, `hosts`, `categories`, `episodeCount`, and more. This structured format allows for easy data manipulation and analysis.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: <https://getdataforme.com/contact/>

We're here to help you get the most out of this Actor!

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907"
    }
  ]
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/podchase-productinfo-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 = { "startUrls": [{ "url": "https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/podchase-productinfo-scraper").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 '{
  "startUrls": [
    {
      "url": "https://www.podchaser.com/podcasts/learn-english-with-coffee-brea-1020907"
    }
  ]
}' |
apify call getdataforme/podchase-productinfo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/podchase-productinfo-scraper"
        }
    }
}

```

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/VqjK54VIcryrS7M0y/builds/uuMb63QEA6ZYudBbG/openapi.json