Apple App Store Reviews & Ratings Scraper

Here is one real result, with every field the actor returns (the appDescription, appScreenshots, and appLanguages arrays are trimmed here for readability):

{
  "appId": 333903271,
  "appName": "X",
  "appAverageRating": 4.58335,
  "appRatingCount": 10938508,
  "appVersionLatest": "12.16",
  "seller": "X Corp.",
  "genre": "News",
  "appDescription": "X (formerly Twitter) is a social media app where you can follow breaking news, live events, and trending topics as they happen...",
  "appReleaseNotes": "We made improvements and squashed bugs so X is even better for you.",
  "appPrice": 0,
  "appFormattedPrice": "Free",
  "appCurrency": "USD",
  "appContentRating": "17+",
  "appReleaseDate": "2009-10-09T19:50:00Z",
  "appCurrentVersionReleaseDate": "2026-08-10T22:31:11Z",
  "appSizeBytes": 496360448,
  "appMinimumOsVersion": "15.0",
  "appDeveloperName": "X Corp.",
  "appDeveloperUrl": "http://x.com/",
  "appDeveloperViewUrl": "https://apps.apple.com/us/developer/x-corp/id296415947?uo=4",
  "appDeveloperId": 296415947,
  "appBundleId": "com.atebits.Tweetie2",
  "appIcon": "https://is1-ssl.mzstatic.com/image/thumb/Purple221/v4/c8/a4/ff/c8a4ffb6-5efa-2202-61bb-d727ff3497a6/ProductionAppIcon-0-0-1x_U007emarketing-0-8-0-0-0-85-220.png/512x512bb.jpg",
  "appScreenshots": ["https://is1-ssl.mzstatic.com/image/thumb/PurpleSource211/v4/21/82/3c/.../320x480bb.jpg"],
  "appGenres": ["News", "Social Networking"],
  "appLanguages": ["AR", "EN", "ES", "FR", "JA", "PT"],
  "appAverageRatingCurrentVersion": 4.58335,
  "appRatingCountCurrentVersion": 10938508,
  "country": "us",
  "reviewId": "14420739998",
  "author": "hi 录哥",
  "authorUrl": "https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewUserReviews?userProfileId=1956428607",
  "rating": 5,
  "title": "好",
  "body": "非常好",
  "appVersion": "12.16",
  "voteSum": null,
  "voteCount": null,
  "developerResponse": null,
  "developerResponseDate": null,
  "updatedAt": "2026-08-13T00:00:00.000Z",
  "url": "https://apps.apple.com/us/app/x/id333903271?uo=4",
  "aiSentiment": null,
  "aiSentimentScore": null,
  "aiSummary": null,
  "aiTopics": null,
  "aiCategory": null,
  "observedAt": "2026-08-14T05:42:07.440Z",
  "error": null
}

The most complete Apple App Store reviews scraper and iOS app reviews API on Apify. Pull App Store customer reviews and ratings for any iOS app by app ID, App Store URL, or search term, in a single country or across 150+ country storefronts at once. Unlike scrapers built on Apple's public RSS feed, which stops at roughly 500 reviews per app, this actor reads the storefront review feed that paginates thousands of reviews per app and country so you get real depth for app review analysis, App Store Optimization (ASO), and app reputation monitoring.

It returns every field the review feed exposes (star rating, title, body, author, app version, and review date) joined with full app metadata (average rating, rating count, developer, price, size, genres, languages, screenshots), plus optional AI add-ons for sentiment, summary, and topics, and gives you seven review filters (rating range, date range, keyword, app version, and developer-response) to target exactly the reviews you need. No API key, no Apple developer account.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• How we compare
• Billing and limits
• FAQ and troubleshooting

What it does

The actor resolves apps from app IDs, App Store URLs, or a search term, then pulls each app's metadata and its customer review feed for every country you request (one, several, or all supported storefronts). It applies your rating, date, keyword, version, and developer-response filters and writes one normalized record per review to the run's dataset. Each review record is joined with the full app metadata so every row is self-contained. Missing source values are returned as null, never invented. Three optional AI add-ons (paid plans only) can classify sentiment, summarize the review, and extract topics and a category.

Common uses: app review analysis and customer feedback mining, App Store Optimization (ASO), competitor and category benchmarking, release-quality tracking by app version, developer-response auditing, and building NLP or sentiment training datasets.

Quickstart

Open the actor, paste this into the input, and press Run. It returns the 10 most recent US reviews for X (formerly Twitter).

{
  "appIds": ["333903271"],
  "country": "us",
  "maxReviews": 10,
  "sortBy": "mostRecent"
}

Provide appIds, appUrls, or a searchTerm. Use countries to scrape several storefronts in one run (for example ["us","gb","mx","br"], or ["all"] for every supported country).

Input reference

Field	Type	Required	Default	Description
appIds	string[]	no	["324684580"]	Apple App Store numeric app IDs, for example 324684580 for Spotify.
appUrls	string[]	no	(empty)	Full App Store URLs, for example https://apps.apple.com/us/app/spotify/id324684580. App ID and country are read from the URL.
startUrls	array	no	(empty)	Alias for appUrls. Accepts plain URL strings or { "url": "..." } objects. Merged with appUrls.
searchTerm	string	no	(none)	Find apps by name and scrape reviews of the top matches.
searchLimit	integer	no	3	How many apps to take from the search term.
country	string	no	us	Two-letter App Store country code, for example us, gb, mx, br. Used when countries is empty.
countries	string[]	no	(empty)	Multiple two-letter country codes to scrape each app in every listed storefront. Use ["all"] for every supported country. Overrides country when set.
maxReviews	integer	no	10	Maximum reviews per app and country. Also accepted as maxItems / maxReviewsPerApp. The feed paginates deep (thousands of reviews for popular apps). Set 0 with includeAppMetadata for metadata only.
sortBy	enum	no	mostRecent	Review order. One of mostRecent, mostHelpful.
includeAppMetadata	boolean	no	false	Also output one app-details row for apps with no reviews (or when maxReviews is 0).
minRating	integer	no	(none)	Only return reviews with a star rating >= this value (1 to 5).
maxRating	integer	no	(none)	Only return reviews with a star rating <= this value (1 to 5).
reviewsFromDate	string	no	(none)	Only return reviews on or after this date, for example 2025-01-01. Also accepted as until.
reviewsToDate	string	no	(none)	Only return reviews on or before this date, for example 2025-12-31.
reviewKeyword	string	no	(none)	Only return reviews whose title or body contains this text (case-insensitive).
reviewAppVersion	string	no	(none)	Only return reviews left on this exact app version, for example 8.9.0.
onlyWithDeveloperResponse	boolean	no	false	Only return reviews that have a developer reply.
withSentiment	boolean	no	false	AI add-on (paid plans only). Classify each review's sentiment with a confidence score. Billed only when produced.
withSummary	boolean	no	false	AI add-on (paid plans only). Generate a 1 to 2 sentence summary of each review. Billed only when produced.
withTopics	boolean	no	false	AI add-on (paid plans only). Extract discussed aspects/keywords and a broad category. Billed only when produced.

Output reference

One dataset item per review (each joined with the app's metadata). Types: string, number, integer, boolean, string[], or null when the source value is absent.

Field	Type	Description
appId	integer	Apple App Store numeric app ID.
appName	string	App name.
appAverageRating	number	Overall average rating (0 to 5).
appRatingCount	integer	Total number of ratings.
appVersionLatest	string	Latest published app version.
seller	string	Seller name.
genre	string	Primary genre.
appDescription	string	Full app description.
appReleaseNotes	string	Release notes for the current version.
appPrice	number	Price as a number.
appFormattedPrice	string	Price as displayed, for example Free.
appCurrency	string	Currency code.
appContentRating	string	Content advisory rating, for example 17+.
appReleaseDate	string	ISO original release date.
appCurrentVersionReleaseDate	string	ISO release date of the current version.
appSizeBytes	integer	App download size in bytes.
appMinimumOsVersion	string	Minimum iOS version required.
appDeveloperName	string	Developer name.
appDeveloperUrl	string	Developer website URL.
appDeveloperViewUrl	string	Developer page URL on the App Store.
appDeveloperId	integer	Apple developer ID.
appBundleId	string	App bundle identifier.
appIcon	string	App icon image URL.
appScreenshots	string[]	App screenshot image URLs.
appGenres	string[]	All genres the app is listed under.
appLanguages	string[]	Supported language codes.
appAverageRatingCurrentVersion	number	Average rating of the current version.
appRatingCountCurrentVersion	integer	Rating count of the current version.
country	string	App Store country code the review was pulled from.
reviewId	string	Unique review ID.
author	string	Review author display name.
authorUrl	string	Author profile URL.
rating	integer	Star rating of the review (1 to 5).
title	string	Review title.
body	string	Review body text.
appVersion	string	App version the review was left on.
voteSum	integer	Net helpful votes, or null.
voteCount	integer	Total votes cast, or null.
developerResponse	string	Developer reply text when the feed includes one. This review feed rarely exposes developer replies, so it is usually null.
developerResponseDate	string	ISO date of the developer reply, or null.
updatedAt	string	ISO date the review was posted or updated.
url	string	App Store URL for the app.
aiSentiment	string	Sentiment from the AI add-on (positive, negative, neutral), or null.
aiSentimentScore	number	Sentiment confidence 0 to 1 from the AI add-on, or null.
aiSummary	string	Short summary from the AI add-on, or null.
aiTopics	string[]	Topics/keywords from the AI add-on, or null.
aiCategory	string	Broad category from the AI add-on, or null.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, a single item with a populated error field is written instead.

Example output record

Real record from a live run (input {"appIds": ["333903271"], "country": "us", "maxReviews": 3, "sortBy": "mostRecent"}):

{
  "appId": 333903271,
  "appName": "X",
  "appAverageRating": 4.58335,
  "appRatingCount": 10938508,
  "seller": "X Corp.",
  "genre": "News",
  "country": "us",
  "reviewId": "14420739998",
  "author": "hi 录哥",
  "rating": 5,
  "title": "好",
  "body": "非常好",
  "appVersion": "12.16",
  "voteSum": null,
  "voteCount": null,
  "developerResponse": null,
  "developerResponseDate": null,
  "updatedAt": "2026-08-13T00:00:00.000Z",
  "url": "https://apps.apple.com/us/app/x/id333903271?uo=4",
  "observedAt": "2026-08-14T05:42:07.440Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~app-store-reviews-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"appIds":["333903271"],"country":"us","maxReviews":50,"minRating":1,"maxRating":2}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~app-store-reviews-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchTerm":"spotify","searchLimit":3,"country":"gb","maxReviews":100,"sortBy":"mostHelpful"}'

Apify CLI:

apify call scrapers_lat/app-store-reviews-scraper \
  --input '{"appUrls":["https://apps.apple.com/us/app/spotify/id324684580"],"maxReviews":50}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

How we compare

This actor is a strict superset of the popular App Store review scrapers: it accepts all of their inputs and returns all of their data, plus deeper pagination, more filters, and richer app metadata.

Capability	This actor	automation-lab	theagents / thewolves
App ID / App Store URL input	Yes (appIds, appUrls, startUrls)	Yes	Yes
Search by app name	Yes (searchTerm)	No	No
Multiple countries / all storefronts	Yes (countries, ["all"])	Yes	Country or all
Sort (recent / helpful)	Yes	Recent	Recent
Reviews per app	Thousands (deep feed)	~500 (RSS ceiling)	~500 (RSS ceiling)
Rating range filter	Yes (minRating/maxRating)	No	No
Date range filter	Yes (reviewsFromDate/reviewsToDate/until)	No	until only
Keyword filter	Yes (reviewKeyword)	No	No
App-version filter	Yes (reviewAppVersion)	No	No
Full app metadata joined per review	Yes (30+ fields)	Partial	Minimal
Optional AI sentiment / summary / topics	Yes (opt-in, paid)	No	No
No API key / no Apple account	Yes	Yes	Yes

Common input aliases (startUrls, maxItems, maxReviewsPerApp, until) are accepted so you can point existing workflows at this actor without rewriting your input.

Billing and limits

• Pay per result. You are charged per review returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Apps that return no reviews cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 results per run. AI add-ons are disabled for free plans.
• AI add-ons (withSentiment, withSummary, withTopics) require a paid plan and are charged per review only when the model returns usable output. They are billed after the review row is delivered, never before.
• Review depth. The storefront review feed paginates far deeper than Apple's public RSS feed (which stops near 500 reviews). Popular apps expose thousands of reviews per country; smaller apps return everything they have. Set maxReviews to the depth you need.

FAQ and troubleshooting

A run returned 0 reviews. Why? The app has no reviews in that country, or your filters matched nothing. Zero-result runs are not charged. Try a different country or loosen rating and date filters.

How do I get reviews for a specific country, or many countries? Set country to the two-letter App Store code, for example mx or br. For several storefronts in one run, set countries to a list such as ["us","gb","mx","br"], or ["all"] for every supported country. App Store URLs already encode their own country. Reviews are localized, so each storefront returns that country's reviews in its own language.

How many reviews can I get per app? Is there a 500 limit? No. Tools built on Apple's public RSS feed stop at about 500 reviews per app. This actor reads the deeper storefront review feed, which paginates through thousands of reviews per app and country. Set maxReviews (or maxItems) to the depth you want; smaller apps simply return everything available.

Why are votes null? The current App Store review feed does not expose helpful-vote counts for every review; missing values are returned as null, never invented.

How do I only get complaints? Set maxRating to 2 (or minRating/maxRating to 1) and optionally add a reviewKeyword.

Why are the AI fields null? The AI add-ons are off by default and require a paid plan. Enable withSentiment, withSummary, or withTopics on a paid plan to populate them.

Is this an official Apple tool? No. This actor is independent and has no affiliation with Apple. It reads only data that is publicly available through the Apple App Store.

Related scrapers

• Amazon Reviews Scraper: Amazon customer reviews by product.
• AliExpress Product Scraper: AliExpress products by keyword or URL.
• Amazon Product Scraper: Amazon product data by keyword or ASIN.
• Archive.org Scraper: Internet Archive items and metadata.

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Independent tool, not affiliated with Apple. Accesses only publicly available App Store data.