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README.md

Podchaser Discovery Extractor

Introduction

The Podchaser Discovery Extractor is a powerful tool designed to scrape and extract detailed information about podcasts from the Podchaser platform. It allows users to gather comprehensive data on podcast queries, including titles, descriptions, ratings, and more, facilitating in-depth analysis and insights.

Features

• Comprehensive Data Extraction: Retrieves extensive details such as podcast title, description, image URL, and episode count.
• Customizable Queries: Allows input of specific search terms to tailor the extraction process.
• Flexible Item Limit: Users can set a maximum number of items to scrape per run or opt for unlimited scraping.
• High-Quality Data: Ensures reliable and accurate data collection from Podchaser.
• User-Friendly Configuration: Simple setup with clear input parameters for easy customization.

Input Parameters

Parameter	Type	Required	Description	Example
Queries	array	No	The queries for the spider.	["english"]
item_limit	integer	No	Maximum items to scrape per actor run. Set to 0 for no limit.	10

Example Usage

Input JSON

{
  "Queries": ["english"],
  "item_limit": 10
}

Output JSON

[
  {
    "query": "english",
    "podcast_id": 509053,
    "title": "Speak English Now Podcast: Learn English | Speak English without grammar.",
    "description": "The Speak English Now Podcast is your resource for practicing your English speaking and listening...",
    "image_url": "https://static.libsyn.com/p/assets/a/5/f/d/a5fd64b28945d2ce16c3140a3186d450/Speak-English-Now-Artwork_2026-17001.jpg",
    "podcast_url": "https://speakenglishpodcast.libsyn.com/rss",
    "episode_count": 404,
    "rating": 5,
    "itunes_id": "1216879060",
    "spotify_id": "3BdVI2jDY4FRY4QKKbY1GM",
    "date_of_first_episode": "2017-03-16 09:41:57",
    "date_of_latest_episode": "2026-06-26 14:50:00",
    "itunes_author": "Georgiana, founder of SpeakEnglishPodcast.com",
    "networks": [],
    "categories": ["Education"],
    "follower_count": 60,
    "review_count": 1,
    "rating_count": 3,
    "actor_id": "Rb7uu4uFS1vI3dWC7",
    "run_id": "h1LjRWEVTgRrrVs5f"
  },
  {
    "query": "english",
    "podcast_id": 4947934,
    "title": "Business English from All Ears English",
    "description": "Want to feel more confident with your business English? Lindsay and Michelle show you real, business English vocabulary...",
    "image_url": "https://megaphone.imgix.net/podcasts/9b344c08-1f4b-11ed-8dbe-bfd7cf20a20f/image/AEE_Show_Cover_Art_Business_English-Less-than-500.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format%2Ccompress",
    "podcast_url": "https://feeds.megaphone.fm/ALLE3395867426",
    "episode_count": 620,
    "rating": 5,
    "itunes_id": "1650591741",
    "spotify_id": "5HFUjaqFFXUiHC5SA6uVEz",
    "date_of_first_episode": "2022-10-17 00:15:00",
    "date_of_latest_episode": "2026-06-30 05:00:00",
    "itunes_author": "Lindsay McMahon",
    "networks": [],
    "categories": ["Business", "Education"],
    "follower_count": 16,
    "review_count": 0,
    "rating_count": 1,
    "actor_id": "Rb7uu4uFS1vI3dWC7",
    "run_id": "h1LjRWEVTgRrrVs5f"
  },
  {
    "query": "english",
    "podcast_id": 98944,
    "title": "RealLife English: Learn and Speak Confident, Natural English",
    "description": "Welcome to the RealLife English podcast! For over 10 years, RealLife English has helped millions of learners just like you...",
    "image_url": "https://static.libsyn.com/p/assets/3/e/7/f/3e7f2968e152743327a2322813b393ee/317e4efe2d4db6e2.png",
    "podcast_url": "https://rss.libsyn.com/shows/41632/destinations/126390.xml",
    "episode_count": 526,
    "rating": 5,
    "itunes_id": "600128442",
    "spotify_id": "0xBw3oEE9tW79gKd9pQHdN",
    "date_of_first_episode": "2013-01-20 13:35:45",
    "date_of_latest_episode": "2025-12-02 14:50:57",
    "itunes_author": "RealLife English",
    "networks": [],
    "categories": ["Education"],
    "follower_count": 38,
    "review_count": 0,
    "rating_count": 1,
    "actor_id": "Rb7uu4uFS1vI3dWC7",
    "run_id": "h1LjRWEVTgRrrVs5f"
  }
]

Use Cases

• Market Research and Analysis: Gather data on podcast trends and audience preferences.
• Competitive Intelligence: Monitor competitor podcasts for strategic insights.
• Price Monitoring: Track changes in podcast-related services or subscriptions.
• Content Aggregation: Compile comprehensive lists of podcasts for content platforms.
• Academic Research: Use podcast data for studies in media, communication, or marketing.
• Business Automation: Integrate with CRM systems to enhance customer engagement strategies.

Installation and Usage

1. Search for "Podchaser Discovery Extractor" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 containing objects with fields such as query, podcast_id, title, description, image_url, podcast_url, episode_count, rating, itunes_id, spotify_id, date_of_first_episode, date_of_latest_episode, itunes_author, networks, categories, follower_count, review_count, rating_count, actor_id, and run_id. Each field provides specific details about the podcasts extracted based on the input queries.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

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

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