Apple Podcasts Scraper – Episodes, Charts & Podcast RSS Feeds

Apple Podcasts scraper without login: search podcasts and episodes, top podcast and episode charts per country and genre, podcast details (feed URL, genres, episode count, ratings) and podcast episodes from RSS feeds with audio URL, duration, season, explicit flag and transcript links.

Price: $1.00 per 1,000 podcasts, $0.30 per 1,000 episodes. No login, no API key, no browser. Failed inputs are never charged.

What data do you get?

• 🎙 Podcasts: Apple ID (collectionId), name, artist, RSS feedUrl, Apple Podcasts URL, genres, primary genre, episode count, store country, 600×600 artwork, latest release date, explicit flag. When the feed is read you also get the description, language, website, show type and first episode date. With includeRatings you get the star rating and number of ratings.
• 🎧 Episodes (from the RSS feed): GUID, title, publish date, duration in seconds, audio URL, MIME type and file size, show notes as plain text, episode link, season, episode number, episode type (full / trailer / bonus), explicit flag, image, transcript URL(s) (podcast:transcript) and chapters URL.
• 📈 Charts: Apple Podcasts Top Shows (up to 200, with optional genre filter) and Top Episodes (up to 100) for any country, with rank.
• 🔎 Search: up to 200 podcasts or episodes per query from the iTunes Search API, for any store country.

Use cases

• Podcast discovery and guest booking research: find shows on a topic and compare episode counts, ratings and how recently they published.
• Chart tracking: record daily top-podcast rankings per country and genre.
• Monitoring: get every new episode of a list of shows, for example daily with newEpisodes and onlyNewerThan: "1 day".
• Transcription and AI pipelines: collect audio URLs and existing transcript links for speech-to-text, summarization or RAG.
• Ad sales and market research: build lists of shows by genre with publisher, rating count and release cadence.

How to use it

1. Click Try for free or Start.
2. Choose a Mode: search (default), charts, podcastDetails or newEpisodes.
3. Enter a Search query, pick a Country and Genre, or add Podcasts (Apple Podcasts URLs, Apple IDs or RSS feed URLs).
4. Set Max items and click Start. Export as JSON, CSV or Excel, or connect via API, Make, Zapier, n8n or Google Sheets.

Input

Field	Mode	Description
mode	all	search (default), charts, podcastDetails, newEpisodes
searchQuery	search	Keywords, show or host name. Default technology
searchType	search	podcast (shows) or episode
country	search, charts	2-letter store code: us, gb, de, tr … Default us
chartType	charts	podcasts (Top Shows) or episodes (Top Episodes)
genre	charts	Apple genre ID, e.g. 1318 Technology, 1488 True Crime, 1489 News. Empty = all
podcasts	podcastDetails, newEpisodes	Apple Podcasts URLs, Apple IDs or RSS feed URLs
includeEpisodes	search, charts	Also read each show's RSS feed and return episodes. Default false
maxEpisodesPerPodcast	all	Newest N episodes per show. Default 20, 0 = all
onlyNewerThan	all	2026-01-01 or 7 days. newEpisodes defaults to 7 days
includeRatings	all	Add ratingAverage, ratingCount and description from the Apple Podcasts page
maxItems	all	Total item limit (= cost cap). Default 100

Example inputs:

{ "mode": "search", "searchQuery": "artificial intelligence", "country": "us", "includeRatings": true, "maxItems": 50 }

{ "mode": "charts", "country": "gb", "genre": "1318", "maxItems": 100 }

{ "mode": "podcastDetails", "podcasts": ["https://podcasts.apple.com/us/podcast/huberman-lab/id1545953110", "https://podnews.net/rss"], "maxEpisodesPerPodcast": 0, "maxItems": 2000 }

{ "mode": "newEpisodes", "podcasts": ["1200361736", "https://feeds.megaphone.fm/hubermanlab"], "onlyNewerThan": "1 day" }

Output

Every item has a type: podcast, episode or error (free). This is real output (shortened):

Podcast (mode podcastDetails, includeRatings: true)

{
    "type": "podcast",
    "chartRank": null,
    "collectionId": 1545953110,
    "name": "Huberman Lab",
    "artist": "Scicomm Media",
    "feedUrl": "https://feeds.megaphone.fm/hubermanlab",
    "appleUrl": "https://podcasts.apple.com/us/podcast/huberman-lab/id1545953110",
    "genres": ["Health & Fitness", "Science", "Life Sciences"],
    "primaryGenre": "Health & Fitness",
    "episodeCount": 447,
    "country": "USA",
    "artwork": "https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/9a/d3/19/…/600x600bb.jpg",
    "latestReleaseDate": "2026-10-05T08:00:00.000Z",
    "explicit": false,
    "description": "The Huberman Lab podcast is hosted by Andrew Huberman, Ph.D., a neuroscientist and tenured professor …",
    "language": "en",
    "website": "https://www.hubermanlab.com",
    "showType": "episodic",
    "firstEpisodeDate": "2020-12-21T05:22:00.000Z",
    "ratingAverage": 4.8,
    "ratingCount": 27992
}

Episode (from the RSS feed, with transcript)

{
    "type": "episode",
    "podcastId": null,
    "podcastName": "Podnews Daily - podcast industry and podcasting news",
    "guid": "https://podnews.net/update/apple-podcasts-creators-aus-26",
    "title": "Apple Podcasts highlights “Creators We Love” for Australia",
    "publishedAt": "2026-10-07T10:40:00.000Z",
    "durationSec": 245,
    "audioUrl": "https://op3.dev/e,pg=9b024349-ccf0-5f69-a609-6b82873eab3c/podnews.net/audio/podnews261007.mp3",
    "audioType": "audio/mpeg",
    "audioSizeBytes": 3933888,
    "description": "Sponsored by SoundStack. Your new revenue opportunity lives in existing podcast content. …",
    "link": "https://podnews.net/update/apple-podcasts-creators-aus-26",
    "season": null,
    "episode": 2443,
    "episodeType": "full",
    "explicit": false,
    "image": "https://podnews.net/audio/podnews261007.jpeg",
    "transcriptUrl": "https://podnews.net/audio/podnews261007.mp3.vtt",
    "transcripts": [{ "url": "https://podnews.net/audio/podnews261007.mp3.vtt", "type": "text/vtt", "language": null, "rel": "captions" }],
    "chaptersUrl": null,
    "feedUrl": "https://podnews.net/rss",
    "source": "rss"
}

podcastId is the Apple ID when the show was given as an Apple URL or ID (it is null for feed-only input, as above).

Top chart row (mode charts, country: "gb")

{
    "type": "podcast",
    "chartRank": 1,
    "chartCountry": "gb",
    "collectionId": 1611374685,
    "name": "The Rest Is Politics",
    "artist": "Goalhanger",
    "feedUrl": "https://feeds.megaphone.fm/GLT9190936013",
    "appleUrl": "https://podcasts.apple.com/gb/podcast/the-rest-is-politics/id1611374685",
    "genres": ["Politics", "News", "Government"],
    "episodeCount": 675,
    "latestReleaseDate": "2026-10-07T23:00:00Z"
}

Top episodes chart row (chartType: "episodes"): chartRank, podcastId, podcastName, publisher, appleEpisodeId, title, appleUrl, explicit, image, genres, feedUrl. Apple's episode chart has no audio URL or date. Run podcastDetails on the podcastId to get them.

Episode from search (searchType: "episode") also has appleEpisodeId, appleUrl and genres, with source: "itunes".

Error (free)

{ "type": "error", "input": "999999999", "errorCode": "NOT_FOUND", "error": "No podcast with Apple ID 999999999 found in the Apple Podcasts directory." }

Possible errorCode values: INVALID_INPUT, NOT_FOUND, FEED_FAILED, CHART_UNAVAILABLE, NO_RESULTS.

Dataset views in Apify Console: Overview, Episodes, Errors.

Pricing

Pay per event, with platform usage included.

Event	Price	When it is charged
podcast	$0.001 per podcast ($1.00 / 1,000)	Each podcast (show) saved, including chart rows
episode	$0.0003 per episode ($0.30 / 1,000)	Each episode saved
Errors / no results	Free	Invalid inputs, unknown IDs, broken feeds

Job	Cost
Search: 100 podcasts	$0.10
Top 200 shows in one genre	$0.20
1 podcast + all 450 episodes	$0.136
Daily new episodes of 50 shows (~60 episodes)	~$0.02 per day

Set Max items and Apify's Max cost per run. The Actor stops cleanly at the limit.

Use with AI agents (MCP)

Add the Actor as a tool in the Apify MCP server (https://mcp.apify.com?tools=openharvest/podcast-scraper), or let agents find it with search-actors ("podcast").

Example call-actor input for "Find the best-rated podcasts about AI and give me their latest episodes":

{ "mode": "search", "searchQuery": "artificial intelligence", "includeRatings": true, "includeEpisodes": true, "maxEpisodesPerPodcast": 3, "maxItems": 40 }

Example input for "What are the top 10 podcasts in Germany right now?":

{ "mode": "charts", "country": "de", "maxItems": 10 }

FAQ

Where does the data come from? Apple's public iTunes Search/Lookup API, Apple's public top-chart feeds (rss.applemarketingtools.com and the iTunes RSS feeds) and each show's own public RSS feed. With includeRatings the Actor also reads the public Apple Podcasts show page.

How many episodes can I get? All of them. RSS feeds usually contain the complete back catalogue. Set maxEpisodesPerPodcast to 0. If a show has no working RSS feed, the Actor falls back to Apple's list of the latest ~200 episodes.

Does it download audio or create transcripts? No. It returns the audio URL and any transcript files the publisher provides (transcriptUrl). Transcripts exist only if the feed includes the podcast:transcript tag.

Why is the description empty for search or chart results? Apple's search API has no show descriptions. Turn on includeEpisodes (the description comes from the RSS feed) or includeRatings (it comes from the Apple page).

Is there a rate limit? Apple allows about 20 search/lookup calls per minute. The Actor paces its requests and retries automatically. Most runs need only 1–3 such calls.

Can it scrape Spotify? No, only Apple Podcasts and RSS feeds. Most shows on Spotify publish the same RSS feed, so you can use their feed URL.

Is it legal to scrape podcasts?

The Actor reads only public data: Apple's public directory APIs and chart feeds, and the RSS feeds publishers make public so that podcast apps can read them. It does not log in and does not download or redistribute audio. Owner e-mail addresses in RSS feeds are intentionally not collected. Show notes, artwork and audio are copyrighted by their publishers, so respect their rights, Apple's terms, and laws such as GDPR when you store or republish data. Do not use the data for spam or unsolicited outreach.

Related actors

• Substack Scraper – Newsletter Posts, Full Text, Comments & Publication Info (coming soon)
• App Store Scraper (coming soon)
• RSS Feed Reader (coming soon)
• YouTube Transcript Scraper (coming soon)

Support & feedback

Found a bug or a missing field? Open an issue in the Issues tab and we usually reply within a day.