Apple Podcasts Reviews Scraper 🎙️⭐

Scrape ratings and reviews for any Apple Podcasts show — by podcast ID or name, across storefronts. Official Apple RSS, no key required.

This Actor pulls listener reviews for one or more podcasts straight from Apple's public reviews feed, with filters for storefront (country), sort order and star rating, and returns clean structured records — star rating, title, full text, author and date. Perfect for podcasters, networks and market researchers tracking audience sentiment.

Uses Apple's official public reviews RSS — no key, no login, no browser.

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What you can do with it

• 🎙️ Track your show's reviews — monitor sentiment, catch complaints, measure episodes.
• 🕵️ Competitor analysis — see what listeners love and hate about other podcasts.
• 🌍 Multi-country — pull reviews from several Apple storefronts at once.
• ⭐ Filter by rating — isolate 1-star complaints or 5-star praise.
• 🔔 Review alerts — run on a schedule and push new negative reviews to Slack.

Features

• ✅ No API key — official Apple endpoint, works out of the box.
• ✅ By podcast ID or name — pass IDs, or let it resolve names.
• ✅ Multi-storefront — reviews per country (us, gb, ca, au, de, …).
• ✅ Filters — sort by recent / helpful, min/max star rating.
• ✅ Resilient — automatically works around Apple's flaky review feed.

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Finding a podcast's ID

The podcast ID is the number in the Apple Podcasts URL: podcasts.apple.com/us/podcast/the-daily/id1200361736 → ID is 1200361736. Or just pass the podcast name and the Actor resolves it.

Input

Field	Description
Podcast IDs	Apple collection IDs, e.g. 1200361736.
Podcast names	Names to resolve automatically, e.g. The Daily.
Storefronts	Country codes, e.g. us, gb, ca.
Sort by	Most recent / most helpful.
Min / Max rating	Keep reviews in a star range (1–5).
Max reviews per podcast	Cap per podcast per storefront (Apple exposes ~500).
Max results	Overall cap.

Example — recent 1–2 star reviews across two stores

{
  "podcastNames": ["The Joe Rogan Experience"],
  "countries": ["us", "gb"],
  "sortBy": "mostRecent",
  "maxRating": 2
}

Output

Each row is one review:

{
  "podcast_id": "1200361736",
  "podcast_name": "The Daily",
  "country": "us",
  "review_id": "10863…",
  "rating": 5,
  "title": "Essential listening",
  "content": "Best daily news podcast out there…",
  "author": "listener_jane",
  "author_url": "https://itunes.apple.com/us/reviews/id…",
  "vote_sum": 3,
  "vote_count": 4,
  "updated": "2026-07-15T09:12:00-07:00"
}

Run it on a schedule

Schedule the Actor to pull new reviews daily, and connect a Slack / email / webhook / Google Sheets integration to route negative reviews to your team.

Notes & limitations

• Uses Apple's official public reviews RSS — no key needed.
• Apple exposes up to ~500 reviews per podcast per storefront — pull multiple countries for more coverage.
• Ratings are 1–5 stars. Reviews are public listener data.
• Apple's review feed is occasionally flaky; this Actor retries across equivalent endpoints to get complete results.

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Keywords

Apple Podcasts reviews, podcast reviews, podcast review scraper, podcast ratings, Apple Podcasts scraper, podcast data, podcast analytics, podcast sentiment, listener reviews, podcast market research, podcast monitoring, review scraper, Apple Podcasts API, podcast feedback, podcast intelligence, iTunes podcast reviews, podcast star ratings, podcast audience, voice of listener, podcast reputation.