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Podcast Intelligence Aggregator - iTunes API & RSS Feed Scraper — iTunes | Lagic

Built For

Get complete podcast and episode data from iTunes and RSS feeds for market research and content analysis.

Curated by Lagic·Verified working

Configure Agent

Choose how to find podcasts

Search term for podcasts (required in 'search' mode). Examples: 'comedy', 'technology news', 'true crime'

Country code for iTunes store (e.g., US, GB, CA, AU, FR, DE, ES, IT, JP)

Language code filter (e.g., en, es, fr, de, it, ja, pt)

iTunes genre ID for filtering. Common genres: Comedy (1303), News (1311), Business (1321), Technology (1318), True Crime (1488), Sports (1545)

Maximum number of podcasts to return (max 200)

List of podcast RSS feed URLs (required in 'direct_urls' mode)

List of iTunes podcast IDs to lookup (required in 'lookup_ids' mode). Example: [1535809341, 1291409993]

Results to deliver

2,300 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

23 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Podcast Title & Artist NamePodcast DescriptioniTunes URL & RSS Feed URLArtwork URL (Cover Image)Primary Genre and All Associated GenresTotal Number of Episodes
Sample Text...Value...https://...https://...Value...461
Sample Text...Value...https://...https://...Value...884
..................
Exports as:CSVXLSXJSON

Overview

Extract detailed data for any podcast, including all episodes, descriptions, genres, and artwork. Use it for competitor analysis, ad placement research, or populating a podcast app.

### Aggregate Podcast Intelligence Gathering comprehensive data on podcasts is often a scattered process, requiring you to jump between podcast directories and individual RSS feeds. This tool consolidates that workflow, allowing you to find podcasts through the iTunes directory and then dive deep into their RSS feeds for complete episode-level details. ### How It Works You can find podcasts in three ways: 1. **Search:** Use a keyword, genre, country, and language to discover podcasts in the iTunes store, just like a regular user would. 2. **Direct URLs:** If you already have a list of podcast RSS feed URLs, you can provide them directly to parse their contents. 3. **Lookup IDs:** For podcasts you've already identified on iTunes, simply provide their unique IDs to fetch their data. The tool retrieves all the standard directory information like the title, artist, description, and artwork. Crucially, it also parses the RSS feed to extract a full list of every episode, including each one's title, description, publication date, audio file URL, and duration. This gives you a complete picture of a show's content strategy and history. ### Who Is This For? This tool is designed for anyone who needs structured data about the podcasting landscape. This includes: - **Podcast Networks & Producers:** Analyze competing shows, track episode release schedules, and identify content trends within a genre. - **Marketing & Ad Agencies:** Identify suitable podcasts for ad placements by analyzing their genre, content, and episode frequency. - **App Developers:** Populate a podcast directory or listening application with rich metadata for thousands of shows. - **Market Researchers & Journalists:** Collect data on podcasting trends, study the popularity of topics, and analyze the media landscape.

Key Capabilities

  • Podcast Title & Artist Name
  • Podcast Description
  • iTunes URL & RSS Feed URL
  • Artwork URL (Cover Image)
  • Primary Genre and All Associated Genres
  • Total Number of Episodes
  • Last Updated Date
  • Country and Language
  • A complete list of all episodes, each with:
  • - Episode Title & Description
  • - Publication Date
  • - Audio Duration
  • - Direct Audio File URL
  • - Season and Episode Number (if available)
  • - Explicit Rating
  • Competitor Content Strategy Analysis: Extract the complete episode list for 3-5 competing podcasts to analyze their publishing frequency, topic choices, and episode title formulas.
  • Ad Placement Prospecting: Search for podcasts in a specific niche (e.g., 'Technology' in 'DE') to build a targeted list of shows for potential advertising partnerships.
  • Populating a Podcast App Database: Use the search mode to discover podcasts by genre and pull their metadata, artwork, and RSS feeds to populate a new directory app.
  • Academic Media Research: Gather data on episode durations and publication dates across a genre to study trends in content formatting over time.
  • Building a Curated Content Feed: Provide a list of trusted RSS feed URLs to aggregate the latest episodes from your favorite shows into a single, structured dataset.
  • PR & Guest Opportunity Tracking: Search episode titles and descriptions across a list of podcasts for mentions of a specific person or brand to find guest appearances or media hits.
  • Market Entry Analysis: Before launching a new podcast, research a genre to understand the existing players, common themes, and potential content gaps.

Field Dictionary

How To Run This Extractor

1

Choose your method for finding podcasts: 'Search', 'Direct URLs', or 'Lookup IDs'.

2

For 'Search', enter a search term, country, and optional genre.

3

For 'Direct URLs' or 'Lookup IDs', paste your list of RSS feed URLs or iTunes Podcast IDs.

4

Set the maximum number of podcasts you want to find.

5

Decide if you want to extract the full list of episodes for each podcast.

6

Run the tool and download your data as a spreadsheet or JSON file.

Frequently Asked Questions

Do I need technical skills to use this tool?
No, it's designed for non-technical users. You just need to provide a search term, a list of podcast IDs, or a list of RSS feed URLs in the input field.
What format does the data come in?
Is it legal to scrape iTunes podcast data?
How many podcasts can I scrape at once?
Can I use this data for client projects?
How is this different from just searching on Apple Podcasts?
How reliable is the data?
Can I schedule this tool to run automatically?
What's the difference between using 'Search' and 'Direct URLs'?
How many episodes can I extract per podcast?
How fresh is the data?
How can I predict the cost of a run?