Apple App Store App Details Scraper

Look up Apple App Store apps and supported product types by product ID. Review listing facts, ratings, privacy labels, available reviews, and related products in one record.

What data can you extract?

Field	Type	Description
search_parameters	Object	Apple product ID, selected storefront country, and storefront type used for the app lookup.
product	Object	App name, publisher, category, price, current version, privacy labels, and other product-page details.
ratings	Object	Average star score, total rating count, and rating distribution reported for the app.
similar	Array<object>	Other App Store products Apple surfaces as similar to this app.
more_by_developer	Array<object>	Other App Store products listed by the same developer account.
reviews	Array<object>	Review records returned for this app, with written feedback and star ratings when available.
reviews_pagination	Object	Review offsets, page size, and flags showing whether another review page is available.
input_product_id	String	Apple product ID submitted for this app details lookup.
scraped_at	String	UTC date and time when this app record was collected.

Use cases

• App catalog teams can enrich product records with publisher, version, ratings, and privacy labels.
• Market analysts can compare app pricing and popularity across storefronts.
• App publishers can review how their listings appear beside similar products.

How to use

1. Add one Apple product ID to product_ids for each supported product.
2. Choose store vertical and country for the target storefront.
3. Run the Actor and read one detailed item per product ID.

{
  "product_ids": [
    {
      "product_id": "1232780281"
    }
  ],
  "country": "us",
  "store": "apps",
  "maxResults": 20
}

Input

Field	Type	Required	Description
product_ids	Array<object>	Yes	Apple product IDs to look up. Add one object per supported product.
product_ids[].product_id	string	Yes per entry	Apple product id (numeric adam id; UMC ids also accepted for movies/TV)
product_ids[].id	string	No	Legacy alias for the Apple product ID.
product_ids[].store	string	No	Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts
product_ids[].country	string	No	Two-letter Apple storefront country code (default: us)
product_ids[].season_id	string	No	TV season id; returns the season product instead of the show
product_ids[].num	integer	No	Requested review result count per page
product_ids[].offset	integer	No	Review result offset for the selected App Store item.
product_ids[].next_page_cursor	string	No	Review pagination cursor from a previous response.
id	string	No	Legacy alias for the Apple product ID.
store	string	No	Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts
country	string	No	Two-letter Apple storefront country code (default: us)
season_id	string	No	TV season id; returns the season product instead of the show
num	integer	No	Requested review result count per page
offset	integer	No	Review result offset for the selected App Store item.
next_page_cursor	string	No	Review pagination cursor from a previous response.
maxResults	integer	No	Maximum dataset items to save across this entire run.

Output example

{
  "search_parameters": {
    "product_id": "1234567890",
    "country": "us",
    "store": "apps",
    "engine": "apple_app_store"
  },
  "product": {
    "id": "1234567890",
    "store": "apps",
    "title": "Pocket Notes: Daily Planner",
    "artist": "Northstar Mobile Studio",
    "url": "https://apps.apple.com/us/app/pocket-notes-daily-planner/id1234567890",
    "rating": 4.8,
    "rating_count": 250,
    "privacy": {
      "privacyTypes": [
        {
          "dataCategories": [
            "Contact Info"
          ],
          "description": "Product usage data is linked to the account for analytics.",
          "identifier": "product_usage",
          "privacyType": "data_used_to_track_you",
          "purposes": [
            "Analytics"
          ]
        }
      ]
    }
  },
  "ratings": {
    "rating_count": 250,
    "rating_average": 4.8,
    "histogram": [
      1,
      2,
      3,
      10,
      234
    ],
    "total_reviews": 120
  },
  "similar": [
    {
      "id": "1562071743",
      "title": "Fieldnote: Simple Journal",
      "artist": "Fieldnote Apps",
      "rating": 4.7,
      "url": "https://apps.apple.com/us/app/fieldnote-simple-journal/id1000000001"
    }
  ],
  "more_by_developer": [
    {
      "id": "1494974266",
      "title": "Northstar Habit Tracker",
      "artist": "Northstar Mobile Studio",
      "url": "https://apps.apple.com/us/app/northstar-habit-tracker/id1000000002"
    }
  ],
  "reviews": [
    {
      "id": "review-2026-0814-01",
      "author": "Jordan Lee",
      "rating": 5,
      "title": "Clear and useful",
      "text": "The reminders are useful and the weekly view is easy to scan.",
      "date": "2026-08-14",
      "review": "A clear, lightweight way to organize daily plans."
    }
  ],
  "reviews_pagination": {
    "offset": 0,
    "limit": 20,
    "next_offset": 20,
    "end_of_history": true
  },
  "input_product_id": "1232780281",
  "scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$0.50 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Set maxResults to cap the number of dataset items saved in one run.

FAQ

Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

What limits apply?

Submit up to 100 batch entries per run. Use maxResults to cap saved items. Results also depend on source availability and your Scrappa API plan.

Can I start runs through the Apify API?

Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~apple-app-store-app-details-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.

Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

Which Apple product types can I look up?

Set store to apps, Mac apps, books, audiobooks, movies, TV, music, or podcasts when supported.

Related Scrappa Actors

• Apple App Store Search Scraper
• Google Shopping Scraper
• Google Lens Visual Search Scraper