iTunes / App Store Catalog API avatar

iTunes / App Store Catalog API

Pricing

from $1.00 / 1,000 app / catalog rows

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iTunes / App Store Catalog API

iTunes / App Store Catalog API

Search and look up App Store / iTunes catalog metadata via official iTunes Search and Lookup APIs. No review HTML scraping.

Pricing

from $1.00 / 1,000 app / catalog rows

Rating

0.0

(0)

Developer

Bryce

Bryce

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Categories

Security

Limited permissions

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Fetch App Store and iTunes catalog metadata via Apple’s official iTunes Search and Lookup APIs.

This Actor is an API client only. It does not scrape App Store review HTML or any Apple web pages.

Endpoints used

  • https://itunes.apple.com/search
  • https://itunes.apple.com/lookup

What you get

App / catalog fields including trackId, bundleId, trackName, artistName / sellerName, genres, ratings counts (catalog aggregates — not scraped reviews), price, version, store URL, artwork URLs, description, screenshots URLs from the API, and source (search | lookup).

Input

  • mode — search | lookup | both
  • term — search text (required for search)
  • country — storefront (default US)
  • media / entity — default software for apps
  • ids / bundleIds — for lookup
  • limit — max rows (also Search API limit, ≤200)
  • requestDelayMs — default 3500 (~20 calls/min Apple guideline)

Example

{
"mode": "both",
"term": "Notion",
"country": "US",
"media": "software",
"entity": "software",
"bundleIds": ["com.google.chrome.ios"],
"limit": 10
}

Pricing (pay-per-event)

EventPriceNotes
apify-actor-start$0.001Synthetic Actor start
app$0.001One catalog row written to the dataset

Limitations & rules

  • No App Store review HTML scraping.
  • Respect Apple’s ~20 calls/minute Search API guidance via requestDelayMs.
  • Ratings are catalog aggregates from the API, not individual reviews.

Use cases

  • App Store competitive catalog snapshots
  • Resolve bundle IDs / Adam IDs to metadata
  • Enrich datasets with official store fields