Apple App Store Reviews Scraper

The Apple App Store Reviews Scraper extracts app reviews and app listings from the Apple App Store by keyword search or app ID, across as many country storefronts as you name. Every review row carries the star rating, title, text, author, date and storefront.

What you get

One dataset row per review, ready to export as JSON, CSV or Excel.

{
  "review_id": "11994640656",
  "app_id": "324684580",
  "author_name": "l.lacx",
  "rating": 5,
  "title": "Favorite app ever",
  "text": "I personally love this app. I have had it for over 4 years, and it's been an app I use daily.",
  "review_date": "2024-11-26T17:10:59.000Z",
  "country": "us",
  "scraped_at": "2026-07-10T13:36:13.824529+00:00"
}

Search by keyword and each matching app also arrives as its own row, with developer, icon_url, category, rating, rating_count, is_free, price, currency and the canonical App Store url. Both row types carry platform, set to app_store, which is the same discriminator the Google Play actors use, so an iOS and an Android export merge without remapping a single column.

What it costs

Event	Price
Actor Start (apify-actor-start)	$0.001
Per app (app-search-result)	$0.003
Per review (review)	$0.003

You pay per review and per app, never per minute: $0.003 a review, $0.003 an app returned by a keyword search, and $0.001 to start a run. One app across three storefronts is at most 24 reviews, about $0.073. A thousand reviews is $3.00, and the residential proxy every run needs is included in that price.

Input

Field	Type	Required	Default	What it does
app_ids	array	no	—	Apps to pull reviews for, one numeric App Store ID or full apps.apple.com URL per entry, for example 324684580 or https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580. Each app returns its reviews in every storefront listed in countries. Leave empty to work from search_queries instead; provide at least one of app_ids or search_queries.
search_queries	array	no	—	Keywords to search the App Store with, one per entry, for example meditation app. Each keyword returns the apps that match it as rows carrying developer, category, price and aggregate rating, and then the reviews of those apps. Leave empty to work from app_ids instead; provide at least one of search_queries or app_ids.
countries	array	no	—	App Store storefronts to cover, one two-letter country code per entry, for example us, gb, de. The storefront decides which apps a search returns and which reviews come back: every country carries its own distinct set of up to 8 reviews per app, so listing more countries returns more reviews. Leave empty to use the United States storefront (us).
max_apps_per_search	integer	no	10	How many apps to keep from each entry in search_queries, from 1 to 250. Default 10. Every kept app becomes one row and has its reviews collected in each country you list, so this is the main lever on how much a keyword run returns and costs. Apps given directly in app_ids are not affected.
rating_filter	array	no	—	Keep only reviews with these star ratings; tick any of 1, 2, 3, 4 and 5. Leave empty to keep every rating. The App Store publishes a fixed set of up to 8 reviews per app per country, so this narrows that set rather than reaching further back — add more countries when you want a larger review sample.
date_from	string	no	—	Keep only reviews published on or after this date, written as YYYY-MM-DD, for example 2026-01-01. Leave empty for no lower bound. Set it together with date_to to take a single window.
date_to	string	no	—	Keep only reviews published on or before this date, written as YYYY-MM-DD, for example 2026-06-30. Leave empty for no upper bound. Set it together with date_from to take a single window.
proxyUrls	array	no	—	Leave empty and the run uses the residential proxy this actor ships with, included in the price of the run. To route the run through your own account instead, add one gateway URL per entry, for example http://user:pass@host:port — works with DataImpulse, Bright Data, Oxylabs, Smartproxy or any provider that issues URLs. When set, only these URLs are used.

How to run it

1. Open the actor on Apify Console and click Try for free.
2. Put app IDs or apps.apple.com URLs into App IDs or URLs, or keywords into Search Queries.
3. List the storefronts you want in Countries, then Run. Export JSON, CSV or Excel from the dataset.

{
  "app_ids": ["324684580"],
  "search_queries": ["meditation app"],
  "countries": ["us", "gb", "de"],
  "max_apps_per_search": 5,
  "rating_filter": ["1", "2"],
  "date_from": "2026-01-01"
}

Minimal input:

{
  "app_ids": ["324684580"]
}

Available as the MCP tool herus13--apple-app-store-scraper on mcp.apify.com and through the Apify API; send the same JSON.

Why this scraper

• Storefronts multiply your sample. Apple publishes a fixed set of up to 8 reviews per app per country. Those sets are genuinely different — a live check across US, GB and DE for the same app found zero overlapping review IDs — so every country you add is new feedback, not duplicates.
• Search and direct lookup in one run. Give app IDs when you know the apps, keywords when you are still mapping a category, or both at once.
• Ratings, dates and text arrive structured. No screen-scraped blobs to parse afterwards; rating, review_date and text are separate typed fields from the first row.
• Built to merge with Android. Matching field names and a shared platform column mean one warehouse table covers both stores.
• Nothing to set up. No account, no keys, no proxy configuration; a residential proxy is included in the price of the run.

Use cases

• Rating monitoring per market — App Store ratings are per country, and a problem usually surfaces in one market before it shows up in the global average. Schedule a weekly run across your storefronts and watch each trend on its own.
• Feature requests and bug triage — Review title, text, author and date come back structured, so they route straight into a classifier or a support queue instead of being read by hand.
• Competitor benchmarking — Search a keyword to see which apps rank for it, then read those apps' reviews and listing metadata in the same run.
• ASO reporting — Aggregate rating, rating count, category and price per app across storefronts give the listing side of an App Store Optimization dashboard.
• Cross-platform app intelligence — Pair it with the Google Play scrapers for one view of the same app on both stores rather than the iOS half.

FAQ

Why do I only get 8 reviews per app per country? That is Apple's own limit, not this actor's. The public App Store listing exposes a fixed set of up to 8 reviews per country per app. Add more entries to countries to grow the sample — each storefront's set is distinct.

Can I use an App Store URL instead of a numeric ID? Yes. Paste the full apps.apple.com URL into App IDs or URLs and the numeric ID is read from it.

What happens if I give both app IDs and search queries? Both run. Reviews come back for the app IDs you gave, and each keyword also resolves its own apps and reviews.

Why are price and currency null for some apps? They are null for free apps; the App Store listing carries no price when is_free is true.

Is a proxy included? A residential proxy is included in the price of the run. To use your own, paste gateway URLs into Your own proxy URLs. Scraping at volume? Your own DataImpulse account is cheaper per GB.

Is scraping the Apple App Store legal? This actor collects only publicly available app listing and review data. You are responsible for complying with Apple's terms and applicable laws. Do not collect personal data without a lawful basis.

Related actors

Building a cross-platform view of an app? Pair this actor with:

• Google Play App Search & Reviews Scraper — the Android counterpart, with matching field names and a shared platform column.
• Google Play Review Monitor — new Android reviews only, on a schedule.
• YouTube Transcript Scraper — transcripts of the review and tutorial videos your app appears in.