iTunes & App Store Scraper Apps, Podcasts, Music, Movies avatar

iTunes & App Store Scraper Apps, Podcasts, Music, Movies

Pricing

from $5.00 / 1,000 catalog result returneds

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iTunes & App Store Scraper Apps, Podcasts, Music, Movies

iTunes & App Store Scraper Apps, Podcasts, Music, Movies

Search Apple's iTunes catalog for iOS and Mac apps, podcasts, songs, albums, movies, TV shows, ebooks, and audiobooks. Get pricing, ratings, artwork, descriptions, and links. No login.

Pricing

from $5.00 / 1,000 catalog result returneds

Rating

0.0

(0)

Developer

Andrew

Andrew

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

5 days ago

Last modified

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iTunes & App Store Search Scraper — Apps, Podcasts, Music, Movies

Search Apple's iTunes catalog for iOS and Mac apps, podcasts, songs, albums, movies, TV shows, ebooks, and audiobooks. Get pricing, ratings, artwork, descriptions, and links. No login.

What you get

  • Apps (iOS, iPad, Mac): name, developer, bundle ID, price, rating, screenshots, description, version, file size, supported languages, App Store URL
  • Podcasts: show name, host, description, RSS feed URL, artwork, episode count, primary genre, country
  • Songs / Albums / Artists: name, artist, album, price, release date, preview URL, genre, artwork, iTunes URL
  • Movies / TV Shows: title, genre, release date, content rating, price, artwork, description
  • Ebooks / Audiobooks: title, author, publisher, price, description, artwork
  • The full raw Apple record is included in every row, so you never lose fields specific to one entity type
  • Direct export to JSON, CSV, Excel, or Google Sheets

Use cases

  • App market research — discover competing apps in a niche, compare ratings and pricing
  • Podcast discovery and outreach — pull every show matching a topic, with feed URL for RSS pipelines
  • App Store Optimization (ASO) — see how Apple ranks results for your target keywords
  • Music catalog research — find every artist, album, or track matching a name
  • Lead generation — extract developer / podcaster names and store links for outreach

How to use

  1. Enter a Search term (e.g. meditation, crypto, daily news)
  2. Choose an Entity — iOS Apps, iPad Apps, Mac Apps, Podcasts, Songs, Albums, Music Artists, Audiobooks, Ebooks, Movies, TV Shows, or All
  3. Set Country — two-letter ISO code (default us)
  4. Set Max results (default 50; max 200 — Apple's API limit)
  5. Run the actor — one item per row in the Dataset tab

Output format

One result per dataset row — perfect for direct CSV, Excel, or Google Sheets export:

{
"entity": "software",
"wrapperType": "software",
"kind": "software",
"trackId": 1234567890,
"collectionId": null,
"artistId": 9876543,
"name": "Calm",
"artistName": "Calm.com, Inc.",
"sellerName": "Calm.com, Inc.",
"bundleId": "com.calm.app",
"description": "Calm is the #1 app for sleep, meditation and relaxation…",
"primaryGenre": "Health & Fitness",
"genres": ["Health & Fitness", "Lifestyle"],
"price": 0,
"currency": "USD",
"formattedPrice": "Free",
"releaseDate": "2014-08-22T07:00:00Z",
"country": "USA",
"averageRating": 4.8,
"ratingCount": 1500000,
"contentAdvisoryRating": "4+",
"fileSizeBytes": 250000000,
"version": "6.20",
"minimumOsVersion": "13.0",
"languages": ["EN", "ES", "FR", "DE", "JA"],
"screenshotUrls": ["https://…"],
"trackUrl": "https://apps.apple.com/us/app/calm/id1234567890",
"artworkUrl": "https://…/512x512bb.jpg",
"raw": { "...": "full original Apple record" }
}

Input options

FieldTypeDescription
Search termstringKeyword(s) to search for (required)
EntityenumiOS / iPad / Mac apps, Podcasts, Songs, Albums, Artists, Audiobooks, Ebooks, Movies, TV Shows, All
CountrystringTwo-letter ISO code — default us
Max resultsinteger1–200 — default 50

Notes

  • Apple's iTunes Search API is rate-limited but generous for normal use. If you need huge result sets, run the actor several times with different terms or countries.
  • The raw field contains the full original Apple record so you can extract entity-specific fields not normalized into the top-level columns.