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README.md

Podchaser Discovery Spider

Introduction

The Podchaser Discovery Spider is a powerful tool designed to scrape and gather comprehensive data from the Podchaser platform. It enables users to efficiently discover podcasts based on specific queries, providing detailed insights into podcast content, ratings, and metadata.

Features

• Comprehensive Data Extraction: Scrape detailed information about podcasts including titles, descriptions, images, URLs, episode counts, and more.
• Customizable Queries: Tailor searches with user-defined queries to find relevant podcasts.
• Flexible Item Limiting: Set a maximum number of items to scrape per run for efficient data management.
• High-Quality Data Output: Ensures reliable and accurate podcast information is captured.
• User-Friendly Configuration: Easy setup with intuitive input parameters.

Input Parameters Table

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": 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 for the global economy in this podcast from All Ears English. Learn spoken English for business with native speakers...",
    "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": 605,
    "rating": 5,
    "itunes_id": "1650591741",
    "spotify_id": "5HFUjaqFFXUiHC5SA6uVEz",
    "date_of_first_episode": "2022-10-17 00:15:00",
    "date_of_latest_episode": "2026-05-28 05:00:00",
    "itunes_author": "Lindsay McMahon",
    "networks": [],
    "categories": ["Business", "Education"],
    "follower_count": 16,
    "review_count": 0,
    "rating_count": 1,
    "actor_id": "72Hnz7JLL2DF7caBe",
    "run_id": "W5AQLuamigrjnSxgG"
  },
  {
    "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. You will learn English with the Question and Answer (TPRS) and Point of View techniques...",
    "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": 400,
    "rating": 5,
    "itunes_id": "1216879060",
    "spotify_id": "3BdVI2jDY4FRY4QKKbY1GM",
    "date_of_first_episode": "2017-03-16 09:41:57",
    "date_of_latest_episode": "2026-05-14 13:00:00",
    "itunes_author": "Georgiana, founder of SpeakEnglishPodcast.com",
    "networks": [],
    "categories": ["Education"],
    "follower_count": 60,
    "review_count": 1,
    "rating_count": 3,
    "actor_id": "72Hnz7JLL2DF7caBe",
    "run_id": "W5AQLuamigrjnSxgG"
  }
]

Use Cases

• Market Research and Analysis: Discover trending podcasts to understand market dynamics.
• Competitive Intelligence: Analyze competitor podcast offerings for strategic insights.
• Price Monitoring: Track changes in podcast-related services or products.
• Content Aggregation: Compile a list of relevant podcasts for content curation.
• Academic Research: Gather data for studies on media consumption and trends.
• Business Automation: Automate the discovery process for marketing strategies.

Installation and Usage

1. Search for "Podchaser Discovery Spider" 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 discovered.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Get Data For Me

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

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