# Apple App Store Reviews & Ratings Scraper (`riadh_chebbi/apple-app-store-reviews-scraper`) Actor Scrape Apple App Store reviews and ratings by app name, ID, or URL. Returns rating, title, text, version, date, votes, and app metadata. Multiple countries per run, no login or API key. - **URL**: https://apify.com/riadh\_chebbi/apple-app-store-reviews-scraper.md - **Developed by:** [riadh chebbi](https://apify.com/riadh_chebbi) (community) - **Categories:** Developer tools, SEO tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.05 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Apple App Store Reviews & Ratings Scraper Collect user reviews and ratings from the Apple App Store for any app, in any country store. The Actor reads Apple's own public endpoints directly, so it needs no login, no API key, and no proxies. Point it at an app by name, by numeric App Store ID, or by App Store URL. You get the full review text plus the app's overall rating and metadata in one run, across as many country stores as you want. Use it for App Store Optimization (ASO), sentiment analysis, release and version tracking, competitor benchmarking, and feeding review data into AI or BI workflows. ### What you get Every review includes: - App name, App Store ID, bundle ID, developer, and the app's store URL - The app's overall average rating and total number of ratings - Country/storefront the review came from - Star rating, review title, and full review text - App version the review refers to - Reviewer display name and profile link - Helpful vote sum and vote count - Review date and a direct link to the review ### Input Provide apps in any one (or a mix) of three ways: names, IDs, or URLs. | Field | Type | Default | Description | | --- | --- | --- | --- | | appNames | list of text | empty | App names to look up, for example Instagram. Each is resolved to its App Store ID via Apple search. | | appIds | list of text | 389801252 | Numeric App Store IDs. Found at the end of an app URL (…/id389801252). | | appUrls | list of text | empty | Full App Store URLs. The ID is extracted automatically. | | countries | list of text | us | Two-letter storefront codes, for example us, gb, de, fr. More countries means more reviews. | | maxReviewsPerApp | number | 0 | Maximum reviews per app across all countries. 0 means as many as Apple exposes. | | sortBy | text | mostRecent | Order reviews by mostRecent or mostHelpful. | #### Example input ```json { "appNames": ["Spotify"], "appIds": ["389801252"], "countries": ["us", "gb", "de"], "maxReviewsPerApp": 300, "sortBy": "mostRecent" } ```` ### Example output One item per review: ```json { "appId": "389801252", "appName": "Instagram", "appBundleId": "com.burbn.instagram", "developer": "Instagram, Inc.", "appUrl": "https://apps.apple.com/us/app/instagram/id389801252", "appAverageRating": 4.7, "appTotalRatings": 28543210, "country": "us", "reviewId": "14228738138", "userName": "Kamsi058", "rating": 5, "title": "Love it", "text": "Great app for keeping up with friends...", "appVersion": "435.1.0", "voteSum": 3, "voteCount": 4, "date": "2026-06-26T06:52:59-07:00", "userUrl": "https://itunes.apple.com/us/reviews/id1675196859", "reviewUrl": "https://itunes.apple.com/us/review?id=389801252&type=Purple%20Software" } ``` ### How it works The Actor uses Apple's public iTunes lookup and search endpoints to resolve apps and fetch metadata, then reads the public customer reviews feed for each app and country. Reviews are de-duplicated within a run. Because it talks to Apple's own endpoints over plain HTTP, runs are fast, cheap, and stable. ### Notes - Apple exposes up to roughly 500 of the most recent reviews per app per country store. To gather more, add more countries. - Choose mostHelpful to surface the reviews Apple ranks as most useful, or mostRecent for the newest feedback. - Data comes from Apple's public App Store endpoints. Use the results in line with Apple's terms and applicable data protection rules. # Actor input Schema ## `appNames` (type: `array`): App names to look up, e.g. "Instagram", "WhatsApp". Each is resolved to its App Store ID via Apple search. Use this if you don't know the numeric ID. ## `appIds` (type: `array`): Numeric App Store IDs, e.g. 389801252 for Instagram. Found at the end of an app's URL (…/id389801252). ## `appUrls` (type: `array`): Full App Store URLs, e.g. https://apps.apple.com/us/app/instagram/id389801252. The ID is extracted automatically. ## `countries` (type: `array`): Two-letter country/storefront codes to pull reviews from, e.g. us, gb, de, fr. Apple returns up to ~500 recent reviews per app per country, so add more countries for more reviews. ## `maxReviewsPerApp` (type: `integer`): Maximum reviews to return per app (across all countries). 0 means as many as Apple exposes (~500 per country). ## `sortBy` (type: `string`): Order reviews by most recent or most helpful. ## Actor input object example ```json { "appNames": [], "appIds": [ "389801252" ], "appUrls": [], "countries": [ "us" ], "maxReviewsPerApp": 50, "sortBy": "mostRecent" } ``` # Actor output Schema ## `results` (type: `string`): Scraped App Store reviews and ratings, stored in the default dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "appNames": [], "appIds": [ "389801252" ], "appUrls": [], "countries": [ "us" ], "maxReviewsPerApp": 50, "sortBy": "mostRecent" }; // Run the Actor and wait for it to finish const run = await client.actor("riadh_chebbi/apple-app-store-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "appNames": [], "appIds": ["389801252"], "appUrls": [], "countries": ["us"], "maxReviewsPerApp": 50, "sortBy": "mostRecent", } # Run the Actor and wait for it to finish run = client.actor("riadh_chebbi/apple-app-store-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "appNames": [], "appIds": [ "389801252" ], "appUrls": [], "countries": [ "us" ], "maxReviewsPerApp": 50, "sortBy": "mostRecent" }' | apify call riadh_chebbi/apple-app-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=riadh_chebbi/apple-app-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Reviews & Ratings Scraper", "description": "Scrape Apple App Store reviews and ratings by app name, ID, or URL. Returns rating, title, text, version, date, votes, and app metadata. Multiple countries per run, no login or API key.", "version": "0.1", "x-build-id": "w7bD7Urf28Ed4z3LF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/riadh_chebbi~apple-app-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-riadh_chebbi-apple-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/riadh_chebbi~apple-app-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-riadh_chebbi-apple-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/riadh_chebbi~apple-app-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-riadh_chebbi-apple-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "appNames": { "title": "App names", "type": "array", "description": "App names to look up, e.g. \"Instagram\", \"WhatsApp\". Each is resolved to its App Store ID via Apple search. Use this if you don't know the numeric ID.", "default": [], "items": { "type": "string" } }, "appIds": { "title": "App Store IDs", "type": "array", "description": "Numeric App Store IDs, e.g. 389801252 for Instagram. Found at the end of an app's URL (…/id389801252).", "default": [], "items": { "type": "string" } }, "appUrls": { "title": "App Store URLs", "type": "array", "description": "Full App Store URLs, e.g. https://apps.apple.com/us/app/instagram/id389801252. The ID is extracted automatically.", "default": [], "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "Two-letter country/storefront codes to pull reviews from, e.g. us, gb, de, fr. Apple returns up to ~500 recent reviews per app per country, so add more countries for more reviews.", "default": [ "us" ], "items": { "type": "string" } }, "maxReviewsPerApp": { "title": "Max reviews per app", "minimum": 0, "type": "integer", "description": "Maximum reviews to return per app (across all countries). 0 means as many as Apple exposes (~500 per country).", "default": 0 }, "sortBy": { "title": "Sort by", "enum": [ "mostRecent", "mostHelpful" ], "type": "string", "description": "Order reviews by most recent or most helpful.", "default": "mostRecent" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```