Apple Podcasts Scraper: Ratings, Episodes, Reviews & Charts

Get Apple Podcasts data in one run: show details with the star rating and 5-star breakdown, full episode lists, listener reviews from up to 89 country stores, and the Top charts by country and genre with rank changes since your last run. No login, no API key, no proxy. List podcasts by Apple link, Apple ID, RSS feed URL or name, search by keyword, or start from a chart, and get clean rows ready for spreadsheets, dashboards, sponsorship research or AI tools.

• Show records: name, publisher, genres, rating average, rating count and the number of 5, 4, 3, 2 and 1-star ratings, hosts, channel, related shows, "more from this publisher", paid-content flag, plus publishing stats from the RSS feed (how often it publishes, still active or not, average episode length, hosting provider, transcripts)
• Episodes: everything the show's public RSS feed publishes (usually the whole back catalog, not just Apple's latest episodes), newest first, with Apple episode IDs and links added
• Reviews: Apple publishes up to 500 recent reviews per show per country; add more countries to get more. Filter by stars (for example 1-2 star complaints only) and by date
• Charts: Top Shows (overall and 19 genres, up to 200 positions) and Top Subscriber Shows for any country, with previous rank, change and new/up/down/same
• Privacy-friendly: no owner e-mail addresses and no reviewer profile links are collected; reviews keep only the public nickname
• Hard limits on rows and money. You never pay for podcasts that weren't found, duplicates, or reviews and episodes outside your filters.

Why this one is better

Comparison with the two most-used Apple Podcasts Actors on Apify, based on their public Store pages on 3 November 2026:

	This Actor	sourabhbgp / Apple Podcasts Scraper	logiover / Apple Podcasts Scraper (episodes)
Price per 1,000 shows / reviews / chart entries	$2.55	$3.00	episodes only
Price per 1,000 episodes	$2.10	$3.00	$2.50 (Free plan) down to $1.75
Start fee	$0.00005 (Apify's standard start event)	none	$0.00005
Star-rating breakdown (5★ ... 1★ counts)	Yes	Average and count only	No
Hosts, channel, related shows	Yes	Channel data in a separate mode	No
Reviews	Up to 500 per country store, any number of stores in one run (89 available), star and date filters	Up to 2,000 per show, newest or most helpful	No reviews
Charts with rank changes	Yes, 20 genres + subscriber chart	Yes, plus Top Series and Trending Episodes	No
Publishing stats (frequency, active, avg. length, host provider)	Yes	Frequency and active flag (with RSS option)	No
Input	Apple links, IDs, RSS feeds and names, mixed in one list; search and charts in the same run	One mode per run (10 modes)	Search, IDs, RSS feeds
Personal data	No owner e-mails, no reviewer profile links	Owner e-mail and reviewer profile link included	n/a
Spend limit	"Max spend (USD)" input plus "Maximum cost per run" in Run options, checked before every batch	Max results per run	Run options

sourabhbgp's Actor has modes this one does not have (publisher catalogs, paid channels, episode keyword search, Trending Episodes, Top Series) and can return more than 500 reviews from a single store. Prices and features can change; check each Actor's page for the latest. Higher Apify plans get lower prices from logiover's tiered pricing.

How to use it

1. Under Podcasts, add one show per line: an Apple link (https://podcasts.apple.com/us/podcast/the-daily/id1200361736), an ID (1200361736), an RSS feed or a name (Hardcore History). Or use Search Apple Podcasts and/or Top charts.
2. Choose Show record detail (Full is the default).
3. Optional: set Max episodes per show and Max reviews per show (both 0 by default, so you only pay for what you ask for).
4. Optional: a date filter, star filter, review countries, and Max spend (USD).
5. Press Start. Rows appear in the Output tab (Shows, Episodes, Reviews and Charts tables) while the run is going.

To track the charts, schedule the Actor daily with a chart country set. To monitor new reviews, schedule it with ...or only the last N days set to 1 or 7.

What you get

Rows start with recordType (show, episode, review or chart-entry). Rows of the same type always have the same columns in the same order; empty values are null, numbers are numbers and dates are ISO 8601 in UTC. The examples below are real rows from a test run on 2026-11-04, shortened to the most useful columns.

Show record (recordType: "show"):

{
  "recordType": "show",
  "appleId": 1200361736,
  "name": "The Daily",
  "publisher": "The New York Times",
  "appleUrl": "https://podcasts.apple.com/us/podcast/the-daily/id1200361736",
  "feedUrl": "https://feeds.simplecast.com/Sl5CSM3S",
  "primaryGenre": "Daily News",
  "genres": [
    "Daily News",
    "News"
  ],
  "episodeCountApple": 2770,
  "latestEpisodeAt": "2026-11-04T10:51:00.000Z",
  "ratingAverage": 4.3,
  "ratingCount": 106127,
  "ratingStars5": 77821,
  "ratingStars4": 8651,
  "ratingStars3": 5076,
  "ratingStars2": 3987,
  "ratingStars1": 10592,
  "appleUpdateFrequency": "Daily",
  "yearsActive": "2017 - 2026",
  "hosts": [
    "Michael Barbaro",
    "Natalie Kitroeff",
    "..."
  ],
  "hasPaidContent": true,
  "relatedShows": [
    {
      "appleId": 1548604447,
      "name": "The Ezra Klein Show"
    },
    {
      "appleId": 1222114325,
      "name": "Up First from NPR"
    },
    "..."
  ],
  "hostingProvider": "Simplecast",
  "episodesInFeed": 68,
  "publishingFrequency": "weekly",
  "isActive": true,
  "avgEpisodeMinutes": 44.9,
  "hasTranscripts": false,
  "foundBy": "input",
  "scrapedAt": "2026-11-05T04:16:51.313Z"
}

Episode row (recordType: "episode"):

{
  "recordType": "episode",
  "appleId": 1200361736,
  "showName": "The Daily",
  "title": "A Landslide Victory for Democrats",
  "publishedAt": "2026-11-04T10:51:38.000Z",
  "durationSeconds": 2082,
  "audioUrl": "https://dts.podtrac.com/redirect.mp3/pdst.fm/e/pfx.vpixl.com/6qj4J/pscrb.fm/rss/p/tracking.swap.fm/track/4jdbJYYRKqK96EGqOzQb/nyt.simplecastaudio.com/03d8b49...",
  "episodeType": "full",
  "description": "On Tuesday night, the blue wave that polls predicted landed with extraordinary force across the United States as Democrats flipped control of both the House...",
  "guid": "fdac966d-236d-4f35-afb9-4eb8f3f8a303",
  "appleEpisodeId": 1000799791974,
  "appleEpisodeUrl": "https://podcasts.apple.com/us/podcast/a-landslide-victory-for-democrats/id1200361736?i=1000799791974",
  "scrapedAt": "2026-11-05T04:16:51.370Z"
}

Review row (recordType: "review"):

{
  "recordType": "review",
  "appleId": 1200361736,
  "showName": "The Daily",
  "rating": 5,
  "title": "REALLY Important resource",
  "text": "Sometimes I look at the story of the day and I think: why should I care about that? But I listen anyhow and at the end I’m always glad I did. This is such a...",
  "authorName": "(reviewer nickname hidden in this example)",
  "reviewedAt": "2026-11-03T16:04:02.000Z",
  "storefront": "us",
  "voteCount": 0,
  "voteSum": 0,
  "reviewId": "14746491435",
  "sort": "mostrecent",
  "scrapedAt": "2026-11-05T04:16:52.043Z"
}

Chart entry (recordType: "chart-entry", US top shows chart):

{
  "recordType": "chart-entry",
  "chartCountry": "us",
  "chartType": "Top Shows",
  "chartGenre": "All podcasts",
  "chartGenreId": 26,
  "rank": 1,
  "previousRank": 1,
  "rankChange": 0,
  "movement": "same",
  "previousChartAt": "2026-11-05T04:15:01.076Z",
  "appleId": 1200361736,
  "name": "The Daily",
  "publisher": "The New York Times",
  "primaryGenre": "Daily News",
  "primaryGenreId": 1526,
  "appleUrl": "https://podcasts.apple.com/us/podcast/the-daily/id1200361736",
  "releaseDate": "2026-11-04T02:51:00-07:00",
  "scrapedAt": "2026-11-05T04:16:48.428Z"
}

Views. The Output tab opens in Overview (shows). There are also Episodes, Reviews, Charts, Ratings (star breakdown) and Detailed (every field) views.

Changed in v1.1: the nested ratingHistogram object is now ratingStars5 … ratingStars1; review date is now reviewedAt (UTC); chart chartFetchedAt is now scrapedAt; all dates are UTC; every row type has a fixed column order with null for missing values.

All fields are described in the Output tab (dataset schema). A RUN_SUMMARY record in the run's key-value store lists, for every podcast, search and chart, what was saved and what was skipped for free, and which charted shows dropped out since your last run.

Pricing

Pay per event. You only pay for rows saved to your dataset, plus Apify's tiny standard start fee. No platform usage charges on top.

Event	Price	Per 1,000
Show record	$0.00255	$2.55
Episode	$0.0021	$2.10
Review	$0.00255	$2.55
Chart entry	$0.00255	$2.55
Actor start (Apify's standard start event, per run)	$0.00005

Examples: one show with 50 episodes and 100 reviews = $0.00255 + $0.105 + $0.255 = $0.36. The US Top 100 chart = $0.26. 25 search results = $0.064. A daily Top 200 check of 3 genres = $1.53 per day.

The start fee is Apify's standard event and applies to every run, even one that saves nothing.

Never charged: podcasts or names that weren't found, invalid links, the same show listed twice, duplicate reviews (same review in several countries), reviews outside your star or date filter, episodes outside your date filter, failed requests.

Input options

Option	Default	What it does
Podcasts	none	Apple links, IDs, RSS feed URLs or names, one per line
Search Apple Podcasts	none	Keywords; one show record per podcast found
Max podcasts per search	25	Up to 200 (Apple's limit)
Top charts: countries	none	Two-letter store codes, for example us, gb, de
Top charts: genres	All podcasts	Overall chart and/or any of 19 genre charts
Chart type	Top shows	Top shows or Top subscriber shows
Chart positions	100	1-200 (subscriber chart: 1-100)
Track rank changes between runs	on	Adds previous rank, change and movement
Also save a show record for every charted show	off	Full show records for chart shows
Show record detail	Full	Full, Basic (Apple catalog only) or None
Apple store country	us	Used for search, names and IDs
Max episodes per show	0	Newest first from the RSS feed
Only items published on or after / only the last N days	none	Date filter for episodes and reviews
Include episode HTML description	off	Adds the original HTML show notes
Max reviews per show	0	Up to 500 per country store
Review countries	us	Store codes in order, or all for 89 stores
Review order	Newest first	Newest first or most helpful first
Minimum / maximum stars	1 / 5	Star filter for reviews
Also get episodes and reviews for search and chart results	off	Apply the episode and review limits to found shows too
Max rows in total	0 (off)	Hard row limit for the run
Max spend (USD)	none	Stop before charging more than this

Example input:

{
  "podcasts": ["https://podcasts.apple.com/us/podcast/the-daily/id1200361736", "Hardcore History", "https://feeds.npr.org/510289/podcast.xml"],
  "maxEpisodesPerShow": 20,
  "maxReviewsPerShow": 200,
  "reviewCountries": ["us", "gb", "ca", "au"],
  "maxStars": 2,
  "lastDays": 90,
  "chartCountries": ["us"],
  "chartGenres": ["all", "true-crime"],
  "chartSize": 50,
  "maxSpendUsd": "2"
}

FAQ

Do I need an Apple account or API key? No. The Actor uses Apple's public iTunes Search and Lookup service, Apple's public review and chart feeds, the public Apple Podcasts show page and each show's public RSS feed. Nothing needs a login.

Why only 500 reviews per country? Apple's public review feed holds the 500 most recent (or most helpful) written reviews per show for each country store. Reviews written in other countries are separate, so add more Review countries (or all) to collect more. Each review is saved once even if Apple shows it in several stores. Ratings without a written review are not published one by one; you get them as totals in the show record's rating breakdown.

Why are there more episodes than Apple shows? Episodes come from the show's own RSS feed, which usually has the whole back catalog; Apple's catalog service only returns recent episodes. The Actor adds Apple episode IDs and links where it can match them. A few publishers keep only recent episodes in their feed (The Daily's feed lists the latest 69); then the Actor also adds any older episodes Apple still lists. Subscriber-only (paid) episodes are not included.

How does name search work? The Actor searches Apple Podcasts and picks the exact title match if there is one, otherwise the top result. The run log shows the pick and other close matches. If the wrong show is picked, paste the Apple link or ID instead.

Can I give an RSS feed for a show that isn't on Apple? Yes. You get the show record and episodes from the feed. If the same feed is listed on Apple, the Actor finds it automatically and adds the Apple rating, ID and reviews.

How does chart tracking work? Each chart is remembered in a key-value store named apple-podcasts-chart-history in your Apify account. The next run of the same chart (country, type, genre) adds previousRank, rankChange and movement. Shows that fell off the chart are listed in RUN_SUMMARY. Schedule a daily run to build a ranking history.

How fast is it? The Actor waits about 0.7 seconds between requests to Apple, to be polite. A show with 50 episodes and 500 reviews takes about 10 seconds; a Top 200 chart takes about 2 seconds; reviews from all 89 stores take about 2 minutes per show.

How do I make sure I never spend more than a set amount? Set Max spend (USD) or Maximum cost per run in Run options (the lower one wins). The Actor checks the limit before saving each batch and stops before it would go over. Max rows in total is an extra hard stop.

What happens if Apple is slow or limits requests? The Actor retries network errors, timeouts and "too many requests" answers with growing pauses and follows Apple's Retry-After header. If a show still fails, it keeps what was saved, notes the problem in RUN_SUMMARY and moves on. Failed requests are never charged.

Is it legal? What about privacy? The Actor only reads data that Apple and podcast publishers publish openly, at a polite rate, without logging in and without getting around any access control. Reviews are written by real people, so they can be personal data (for example under the GDPR) even though they are public; that's why only the public nickname is kept and no profile links or e-mail addresses are collected. Episode descriptions, audio and review texts are copyrighted by their authors, and some publishers limit their feeds to personal use, so you are responsible for how you use the content. This Actor is not affiliated with or endorsed by Apple. If in doubt, ask a lawyer.

Will a run fail because one podcast is wrong? No. Unknown IDs and names, links without an ID and broken feeds are logged, listed in RUN_SUMMARY and skipped for free; everything else is still collected and the run finishes normally.

Something doesn't work. Open an issue on the Issues tab with the run link. Every run ends with a clear status message and a RUN_SUMMARY.