Podcast Scraper – Apple/iTunes, RSS, Reviews & Contacts avatar

Podcast Scraper – Apple/iTunes, RSS, Reviews & Contacts

Pricing

from $10.00 / 1,000 results

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Podcast Scraper – Apple/iTunes, RSS, Reviews & Contacts

Podcast Scraper – Apple/iTunes, RSS, Reviews & Contacts

Scrape podcasts from Apple/iTunes + RSS feeds: shows, full episode lists, audio URLs, star ratings & reviews, Apple charts, and the show owner's contact email. AI-ready markdown + token counts. Free APIs, no proxy. 4 modes: search, RSS, lookup, charts.

Pricing

from $10.00 / 1,000 results

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0.0

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Developer

ninhothedev

ninhothedev

Maintained by Community

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2

Total users

1

Monthly active users

17 hours ago

Last modified

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Turn the world's podcasts into structured data. Search Apple Podcasts (or paste RSS feeds) and get every show's metadata, full episode list with audio URLs, star ratings & written reviews, Apple chart rank, and the show owner's contact email — as JSON, CSV or Excel. AI-ready markdown + token counts included. Free APIs, no proxy needed.

💵 Pricing

Pay per result — from $0.01 per podcast (1 dataset item = 1 podcast, with nested episodes & reviews). No subscription, no proxy cost. You only pay for the podcasts you actually scrape. New Apify accounts include free monthly usage credits, so you can test it for $0.

🎧 What can the Podcast Scraper extract?

  • Show data — title, author, description (+ AI-ready markdown), artwork, genres, country, language, episode count.
  • 📧 Owner contact email — pulled from the RSS feed (<itunes:owner>). Perfect for sponsorship & ad outreach.
  • ⭐ Ratings & reviews — Apple Podcasts star ratings and full review text.
  • 📈 Apple charts — Top Podcasts by country & genre, with rank.
  • Episodes — title, audio file URL, duration, publish date, episode/season numbers, GUID, image, Podcasting 2.0 transcript/chapters.

🚀 How do I use the Podcast Scraper?

  1. Click Try for free.
  2. Pick a mode: search (keyword), rss (feed URLs), lookup (iTunes IDs) or charts.
  3. Enter your query (e.g. true crime) and optionally enable ratings & reviews.
  4. Click Start → download results as JSON, CSV or Excel, or pull them via the API.

⚙️ Input example

{
"mode": "search",
"searchQuery": "lex fridman",
"maxResults": 20,
"includeEpisodes": true,
"includeReviews": true
}

📦 Output example

{
"title": "Lex Fridman Podcast",
"author": "Lex Fridman",
"primary_genre": "Technology",
"owner_email": "lexfridman@gmail.com",
"feed_url": "https://lexfridman.com/feed/podcast/",
"episode_count": 498,
"episodes": [
{ "title": "#400 – …", "audio_url": "https://…/ep.mp3", "duration_seconds": 10912, "token_count": 849 }
],
"reviews": [
{ "author": "Algo Rhythm", "rating": 5, "title": "Amazing Podcast!", "text": "…" }
]
}

🎯 Use cases

  • Podcast ad & sponsorship sales — build a contact database from owner emails + chart rank.
  • Market & competitor research — track shows, genres, ratings and release cadence.
  • AI / RAG pipelines — clean markdown show notes & episode text with token counts.
  • Media monitoring — watch reviews and new episodes on a schedule.

💰 How much will it cost?

The data sources (Apple iTunes API + RSS) are free and unmetered — there is no proxy cost. You pay only the per-result price:

Podcasts scrapedApprox. cost
100~$1
1,000~$10
10,000~$100
Episodes and reviews are nested inside each podcast item, so they don't add extra billable results.

🆚 Comparison

This actorTypical podcast scraper
Owner contact email
Ratings + review text
Apple charts
AI markdown + token counts
Proxy required❌ nonesometimes

❓ FAQ

Do I need a proxy or API key? No. Apple's APIs and RSS feeds are open. Where does the owner email come from? The public <itunes:owner> field in the RSS feed. Does it cover Spotify? It uses Apple/iTunes + RSS — the universal source every podcast publishes to.

🛟 Support

Found an issue or need a field added? Open an issue on the actor and it'll be fixed quickly. Suggestions for new modes are welcome.

Collects publicly available podcast data, including the public owner contact email published in RSS feeds. Use contact data in line with GDPR/CAN-SPAM and Apple's terms.


Keywords: podcast scraper, apple podcasts, itunes api, rss feed, podcast data, podcast reviews, podcast contacts, sponsorship, market intelligence, JSON CSV Excel.