🎙️ Podcast Intelligence Aggregator — iTunes & RSS Feed Podcast Data

Extract podcasts and full episode data from iTunes / Apple Podcasts and RSS feeds — show metadata, artwork, genres, episode titles, descriptions, durations and audio enclosures, all as clean, structured data. Search by keyword, look up shows by iTunes ID, or parse RSS feeds directly. No API key, no login, no browser automation. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🎙️ What is the Podcast Intelligence Aggregator?

It turns any podcast search into a structured dataset that combines Apple's iTunes catalog with the show's own RSS feed. Give it a keyword (or a list of feed URLs or iTunes IDs) and it returns each podcast with full metadata plus every episode — titles, show notes, publish dates, durations and media files — so podcast networks, advertisers, researchers and creators can track shows and analyze the market without manual digging.

What data does it extract?

• Podcast metadata — title, artist/author, description, artwork, country, genres
• iTunes details — iTunes ID, iTunes page URL, RSS feed URL, track count, content advisory
• RSS feed data — language, author, image, categories, copyright, last-updated, episode count
• Full episode list — title, description/show notes, link, publish date, GUID, duration
• Audio enclosures — file URL, type and size for every episode
• Episode details — season, episode number, episode type and explicit flag

⬇️ Input

Run it three ways — search iTunes, look up shows by ID, or parse RSS feeds directly:

Field	Description
mode	search (iTunes), lookup_ids (by iTunes ID) or direct_urls (RSS feeds)
searchQuery	Search term in search mode, e.g. technology news, true crime
country	iTunes store country code, e.g. US, GB, CA, AU, DE
language	Optional language filter, e.g. en, es, fr, de
genreId	Optional iTunes genre ID, e.g. 1303 (Comedy), 1318 (Technology), 1488 (True Crime)
maxResults	Max podcasts to return (1–200, default 50)
feedUrls	List of RSS feed URLs (for direct_urls mode)
podcastIds	List of iTunes podcast IDs (for lookup_ids mode)
includeEpisodes	Extract full episode data from the RSS feed (default true)
maxEpisodesPerPodcast	Limit episodes per podcast (leave empty for all)

Example input

{
  "mode": "search",
  "searchQuery": "technology news",
  "country": "US",
  "genreId": 1318,
  "maxResults": 50,
  "includeEpisodes": true,
  "maxEpisodesPerPodcast": 10
}

⬆️ Output

Every podcast is one structured record (view as a table, or export JSON / CSV / Excel). With episodes enabled it looks like this:

{
  "itunes_id": 1535809341,
  "title": "The Daily",
  "artist": "The New York Times",
  "description": "This is what the news should sound like...",
  "artwork_url": "https://is1-ssl.mzstatic.com/image/thumb/Podcasts126/v4/...",
  "feed_url": "https://feeds.simplecast.com/54nAGcIl",
  "country": "USA",
  "primary_genre": "News",
  "genres": ["News", "Daily News"],
  "track_count": 1420,
  "release_date": "2024-11-12T05:00:00Z",
  "itunes_url": "https://podcasts.apple.com/us/podcast/the-daily/id1535809341",
  "content_advisory": "clean",
  "rss_data": {
    "title": "The Daily",
    "description": "This is what the news should sound like...",
    "link": "https://www.nytimes.com/column/the-daily",
    "language": "en-us",
    "author": "The New York Times",
    "image_url": "https://image.simplecastcdn.com/images/...",
    "categories": ["News", "Daily News", "Politics"],
    "copyright": "Copyright 2024 The New York Times Company",
    "last_updated": "Tue, 12 Nov 2024 05:00:00 GMT",
    "episode_count": 1420
  },
  "total_episodes": 1420,
  "episodes": [
    {
      "title": "What Trump's Win Means for the Economy",
      "description": "Economists are trying to guess at how policies will affect...",
      "link": "https://www.nytimes.com/2024/11/12/podcasts/the-daily/trump-economy.html",
      "published": "Tue, 12 Nov 2024 05:00:00 GMT",
      "published_parsed": "2024-11-12T05:00:00",
      "guid": "12345-abcd-xyz",
      "duration": "28:45",
      "enclosure": {
        "url": "https://audio.simplecast.com/episodes/...",
        "type": "audio/mpeg",
        "length": "27654321"
      },
      "season": 4,
      "episode_number": 142,
      "episode_type": "full",
      "explicit": "no"
    }
  ]
}

Set includeEpisodes to false for a fast metadata-only run that returns the iTunes fields without parsing each RSS feed.

💡 Use cases

• 📡 Podcast networks & studios: track competitor shows, discover acquisition targets and spot content gaps.
• 📣 Advertisers & agencies: find shows for ad placement by genre and country, with episode frequency on hand.
• 📊 Market researchers: analyze category trends, growth and the podcast landscape across regions and languages.
• 🎧 Content creators: study successful formats, titles and publishing cadence to plan and benchmark a show.

❓ FAQ

How do I scrape podcast data? Pick a mode, enter a searchQuery (or feedUrls / podcastIds), choose whether to include episodes, then Run. You get structured podcasts with metadata and full episode lists.

Do I need an API key? No. It uses the free public iTunes Search API and open RSS feeds — no authentication, account or token required.

Can I get full episode data? Yes — keep includeEpisodes on to parse each show's RSS feed for episode titles, show notes, durations and audio file URLs. Use maxEpisodesPerPodcast to cap how many you pull.

Can I scrape specific shows instead of searching? Yes — use lookup_ids with iTunes podcast IDs, or direct_urls with RSS feed URLs to target exact shows.

How do I find a genre ID? Use iTunes genre IDs in genreId — for example Comedy 1303, News 1311, Business 1321, Technology 1318, True Crime 1488, Sports 1545.

How many podcasts can it return? Up to your maxResults cap, with an iTunes limit of 200 per search. Use lookup_ids or direct_urls to go beyond a single search.

Can I export the data? Yes — download results as JSON, CSV or Excel, or pull them straight from the dataset via the Apify API.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is it legal? It uses the official iTunes Search API and public RSS feeds, both intended for open consumption. Use the data responsibly, follow Apple's terms for commercial use, and respect podcast creators' rights.

🔗 You might also like

• Spotify Podcast Scraper — Spotify podcasts & episodes
• YouTube Channel Intelligence — YouTube channel & video data
• YouTube Transcript Scraper — video transcripts
• Newsletter Scraper — newsletter archives

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