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Apple Podcast Reviews Scraper

Pricing

from $4.00 / 1,000 review scrapeds

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Apple Podcast Reviews Scraper

Apple Podcast Reviews Scraper

Extract user reviews and ratings for any Apple Podcasts show. Get rating, title, content, author, and helpful-vote counts for up to the most recent 500 reviews per country.

Pricing

from $4.00 / 1,000 review scrapeds

Rating

0.0

(0)

Developer

Andrew

Andrew

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

8 days ago

Last modified

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Extract user reviews and ratings for any podcast on Apple Podcasts. Get rating, title, full review text, author, and helpful-vote counts for the most recent 500 reviews per country — no developer account or login required.

What you get

  • One dataset record per review with: rating (1–5), title, content, author name, author profile URL, vote counts, and review timestamp
  • Sort by Most Recent (newest reviews first) or Most Helpful (highest-voted reviews first)
  • Multi-country support — pull reviews from 29+ Apple Podcasts regions, including US, UK, Japan, Germany, Brazil, India, and more
  • Up to 500 reviews per podcast per country in a single run
  • Export to JSON, CSV, or Google Sheets directly from the Apify console

Use cases

  • Podcast feedback monitoring — surface listener praise, complaints, and episode requests from real subscribers
  • Competitive podcast intelligence — track sentiment and review trends across rival shows in your niche
  • Audience research — understand who's listening, what they love, and which episodes resonate
  • Content gap analysis — mine reviews for topic suggestions and unmet listener needs
  • Advertiser & sponsor research — vet shows for brand fit by analyzing audience tone and engagement before placing ads

How to use

  1. Find your podcast's ID — it's the number in any Apple Podcasts URL. For podcasts.apple.com/us/podcast/the-daily/id1200361736, the ID is 1200361736
  2. Paste it into Podcast ID
  3. Choose the Country storefront (reviews are localized — pull each country separately)
  4. Choose Sort By — Most Recent for monitoring, Most Helpful for top sentiment
  5. Set Max Reviews (0 fetches all available, capped at 500)
  6. Click Run — reviews appear in the Dataset tab when complete

Output format

Each dataset record:

{
"reviewId": "14044087091",
"podcastId": "1200361736",
"country": "us",
"rating": 5,
"title": "Essential daily listen",
"content": "I start every morning with this show.",
"version": null,
"author": "nickname.nbbfijxnd",
"authorUrl": "https://itunes.apple.com/us/reviews/id955840349",
"voteCount": 0,
"voteSum": 0,
"updatedAt": "2026-05-08T22:59:32-07:00",
"sortBy": "mostrecent"
}

Input options

FieldTypeDescription
Podcast IDTextApple Podcasts numeric ID (find it in any Apple Podcasts URL)
CountrySelectTwo-letter ISO storefront code — us, gb, de, jp, etc.
Sort BySelectmostrecent (default) or mosthelpful
Max ReviewsIntegerCap on reviews to return; 0 = all available, max 500

Limits

  • Apple's customer-reviews feed is capped at 500 reviews per podcast per country (10 pages × 50 reviews). Older reviews beyond that are not accessible.
  • Reviews are localized per region — to monitor multiple markets, run the actor once per country.
  • Review content reflects what's currently shown on Apple Podcasts, including any reviews that may have been hidden, edited, or removed since posting.