Apple Podcast Episodes Scraper

Extract detailed episode information from any Apple Podcast. Get episode titles, descriptions, audio URLs, release dates, and more with just a podcast ID.

Features

• 🎯 Scrape episodes from any Apple Podcast by ID
• 📊 Control the number of episodes to fetch (1-2000)
• ⚡ Fast async processing for multiple podcasts
• 🔄 Real-time data streaming as episodes are found
• 📝 Comprehensive episode metadata including audio URLs

How to Use

Getting the Podcast ID

There are two ways to get a podcast ID:

Method 1: From the Podcast URL

Visit the podcast on Apple Podcasts and extract the ID from the URL:

https://podcasts.apple.com/us/podcast/the-daily/id1200361736

The podcast ID here is 1200361736

Method 2: Using the Top Charts Scraper

Use our Apple Podcast Top Chart Scraper to discover trending podcasts and get their IDs automatically.

Input

Input Schema

{
  "podcastIds": ["360084272", "1200361736"],
  "episodeCount": 100
}

Input Parameters

Field	Type	Required	Description	Default
podcastIds	Array of strings	Yes	List of Apple Podcast IDs to scrape	-
episodeCount	Integer	Yes	Number of episodes to fetch per podcast (1-2000)	100

Input Examples

Scrape 50 episodes from a single podcast:

{
  "podcastIds": ["360084272"],
  "episodeCount": 50
}

Scrape 200 episodes from multiple podcasts:

{
  "podcastIds": ["360084272", "1200361736", "1535809341"],
  "episodeCount": 200
}

Output

Output Fields

Each episode in the dataset contains:

Field	Type	Description
podcast_id	String	The ID of the podcast
id	String	Unique episode ID
episode_name	String	Title of the episode
artist_name	String	Podcast host/creator name
release_date	String	ISO 8601 release date
duration_ms	Integer	Episode duration in milliseconds
description	String	Full episode description
audio_url	String	Direct URL to episode audio file
content_rating	String	Content rating (e.g., "explicit", "clean")
genres	Array	List of genres
artwork_url	String	Episode artwork image URL
episode_url	String	Apple Podcasts episode page URL
guid	String	Global unique identifier
kind	String	Episode type (e.g., "full", "trailer")

Output Example

{
  "podcast_id": "360084272",
  "id": "1000738911867",
  "episode_name": "#2420 - Chris Masterjohn",
  "artist_name": "Joe Rogan",
  "release_date": "2025-11-29T18:00:00Z",
  "duration_ms": 8696000,
  "description": "Chris Masterjohn, PhD, is a leading expert in nutritional science with a background in the biochemistry and molecular biology of nutrition...",
  "audio_url": "https://traffic.megaphone.fm/GLT6871125742.mp3?updated=1764433140",
  "content_rating": "explicit",
  "genres": ["Comedy"],
  "artwork_url": "https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/ad/da/f8/addaf8ca-0723-02d5-9e8b-bbd45dcfd7b1/mza_12778395076373403271.jpg/{w}x{h}bb.{f}",
  "episode_url": "https://podcasts.apple.com/us/podcast/2420-chris-masterjohn/id360084272?i=1000738911867",
  "guid": "462c69e2-ccb9-11f0-b712-67831c3b4a24",
  "kind": "full"
}

Use Cases

📊 Podcast Analytics

• Track episode release patterns and frequency
• Analyze content trends across episodes
• Monitor podcast growth over time
• Compare multiple podcasts side-by-side

🎧 Content Research

• Research competitors in your niche
• Find guest appearances across shows
• Discover episode topics and themes
• Build comprehensive podcast databases

📱 App Development

• Build custom podcast players
• Create podcast recommendation engines
• Develop podcast discovery platforms
• Integrate podcast content into your apps

📈 Market Research

• Analyze podcast industry trends
• Study content strategies of successful shows
• Track episode engagement patterns
• Identify content gaps in your market

🔍 Content Discovery

• Find specific episodes by topic or guest
• Build searchable podcast episode libraries
• Create curated episode collections
• Generate podcast newsletters and summaries

🎬 Media Production

• Research potential podcast guests
• Find collaboration opportunities
• Study successful episode formats
• Plan content calendars

📚 Educational Research

• Study podcast content for academic purposes
• Analyze media distribution patterns
• Research audio content trends
• Build educational content databases

🤖 AI & Machine Learning

• Train AI models on podcast descriptions
• Build content recommendation systems
• Create automatic categorization tools
• Develop sentiment analysis datasets

Integration with Top Charts Scraper

Combine this actor with our Apple Podcast Top Chart Scraper for a complete podcast data pipeline:

1. Discover Trending Podcasts: Use the Top Chart Scraper to get podcast IDs from Apple's charts
2. Extract Episode Data: Feed those IDs into this Episodes Scraper
3. Analyze & Export: Get comprehensive episode data for all trending podcasts

Example workflow:

Top Charts Scraper → Extract podcast IDs → Episodes Scraper → Complete episode database

Tips for Best Results

• Start Small: Test with a small episode count (10-50) before running large scrapes
• Multiple Podcasts: The actor processes multiple podcasts concurrently for faster results
• Episode Limits: Each podcast returns up to 2000 episodes maximum
• Data Streaming: Episodes are pushed to the dataset as they're fetched (no need to wait for completion)

Performance

• Processes multiple podcasts simultaneously using async requests
• Episodes are streamed to the dataset in real-time
• Average processing time: ~1 second per 100 episodes
• Handles up to 2000 episodes per podcast

Notes

• Episode data is fetched directly from Apple's podcast API
• Audio URLs are direct links to episode files
• Artwork URLs include template parameters ({w}x{h}) for custom sizing
• Release dates are in ISO 8601 format (UTC timezone)

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Need help or have questions? Check the Apify documentation or reach out to the community forum.