# Apple App Store Reviews Scraper (`sync-network/apple-app-store-reviews-scraper`) Actor Scrape user reviews from any Apple App Store app in seconds. Supports multiple apps, 40+ country stores, sorting by most recent or most helpful, and rating filters. Get review text, ratings, dates, author info, and full app metadata. - **URL**: https://apify.com/sync-network/apple-app-store-reviews-scraper.md - **Developed by:** [Alam](https://apify.com/sync-network) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 Scraper Scrape user reviews from any app on the Apple App Store. Get review text, ratings, dates, author info, and more — for any country store, any app, at scale. ### Use Cases - **Sentiment Analysis** — Collect reviews to analyze customer sentiment trends over time - **Competitor Monitoring** — Track what users are saying about competing apps - **Product Development** — Identify feature requests and common complaints from real users - **Review Management** — Monitor new reviews across all your apps from a single place - **Market Research** — Understand user expectations and pain points in your app category ### Input | Field | Description | Default | |-------|-------------|---------| | **App IDs** | One or more App Store app IDs or bundle IDs (e.g. `544007664` or `com.google.ios.youtube`) | Required | | **Country Store** | Which country's App Store to fetch reviews from (40+ countries supported) | `us` | | **Max Reviews per App** | Maximum number of reviews to fetch per app (up to 500) | `100` | | **Sort Order** | Sort by most recent or most helpful reviews | `Most Recent` | | **Minimum Rating** | Filter to only include reviews at or above this rating (1-5) | `1` | | **Maximum Rating** | Filter to only include reviews at or below this rating (1-5) | `5` | | **Include App Info** | Enrich each review with app metadata (name, developer, category, icon, rating) | `true` | ### Output Each review includes: | Field | Description | |-------|-------------| | `reviewId` | Unique review identifier | | `appName` | Name of the app | | `appId` | App Store ID | | `author` | Reviewer's display name | | `rating` | Star rating (1-5) | | `title` | Review title | | `content` | Full review text | | `date` | Review date and time | | `appVersion` | App version being reviewed | | `voteSum` | Number of upvotes | | `voteCount` | Total votes on the review | When **Include App Info** is enabled, each review also includes: | Field | Description | |-------|-------------| | `developer` | App developer name | | `category` | App Store category | | `iconUrl` | App icon image URL | | `averageRating` | App's overall rating | | `totalRatings` | Total number of ratings | ### Tips - **Find an App ID** — The numeric ID appears in any App Store URL: `apps.apple.com/app/id544007664` → ID is `544007664` - **Use Bundle IDs** — You can also use bundle identifiers like `com.google.ios.youtube` instead of numeric IDs - **Multiple Apps** — Pass multiple IDs to scrape several apps in a single run - **Country-Specific Reviews** — Users in different countries leave different feedback. Try multiple country stores for a complete picture - **Most Helpful** — Use "Most Helpful" sort to surface the reviews that other users found most valuable ### Pricing This is a lightweight actor with minimal compute usage — reviews are fetched and returned quickly, keeping your run costs very low. # Actor input Schema ## `appIds` (type: `array`): Apple App Store app IDs (numeric). You can find the ID in the app's App Store URL (e.g., id544007664). You can also use the app's bundle ID (e.g., com.google.ios.youtube). Supports multiple IDs. ## `country` (type: `string`): Two-letter country code for the App Store region to fetch reviews from. ## `maxReviews` (type: `integer`): Maximum number of reviews to fetch per app. The Apple RSS API returns 50 reviews per page with a maximum of 10 pages (500 reviews). ## `sortOrder` (type: `string`): Sort order for reviews. ## `minRating` (type: `integer`): Filter reviews to only include those with this rating or above. 1 = all reviews, 5 = only 5-star reviews. ## `maxRating` (type: `integer`): Filter reviews to only include those with this rating or below. 5 = all reviews, 1 = only 1-star reviews. ## `includeAppInfo` (type: `boolean`): Include app metadata (name, developer, category, icon, etc.) with each review. ## Actor input object example ```json { "appIds": [ "544007664", "310633997" ], "country": "us", "maxReviews": 100, "sortOrder": "mostRecent", "minRating": 1, "maxRating": 5, "includeAppInfo": true } ```` # 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 = { "appIds": [ "544007664" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sync-network/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 = { "appIds": ["544007664"] } # Run the Actor and wait for it to finish run = client.actor("sync-network/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 '{ "appIds": [ "544007664" ] }' | apify call sync-network/apple-app-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sync-network/apple-app-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Reviews Scraper", "description": "Scrape user reviews from any Apple App Store app in seconds. Supports multiple apps, 40+ country stores, sorting by most recent or most helpful, and rating filters. Get review text, ratings, dates, author info, and full app metadata.", "version": "1.0", "x-build-id": "zWwdXLT5c1QTO4EgO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sync-network~apple-app-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sync-network-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sync-network~apple-app-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-sync-network-apple-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sync-network~apple-app-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-sync-network-apple-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "appIds" ], "properties": { "appIds": { "title": "App IDs", "minItems": 1, "type": "array", "description": "Apple App Store app IDs (numeric). You can find the ID in the app's App Store URL (e.g., id544007664). You can also use the app's bundle ID (e.g., com.google.ios.youtube). Supports multiple IDs.", "items": { "type": "string" } }, "country": { "title": "Country Store", "enum": [ "us", "gb", "de", "fr", "jp", "au", "ca", "br", "in", "kr", "cn", "es", "it", "nl", "ru", "se", "no", "dk", "fi", "pt", "pl", "tr", "mx", "sg", "hk", "tw", "ae", "sa", "za", "nz", "ie", "be", "at", "ch", "cz", "il", "my", "ph", "th", "vn", "id", "ar", "cl", "co", "pe", "eg", "ng", "ke" ], "type": "string", "description": "Two-letter country code for the App Store region to fetch reviews from.", "default": "us" }, "maxReviews": { "title": "Max Reviews per App", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of reviews to fetch per app. The Apple RSS API returns 50 reviews per page with a maximum of 10 pages (500 reviews).", "default": 100 }, "sortOrder": { "title": "Sort Order", "enum": [ "mostRecent", "mostHelpful" ], "type": "string", "description": "Sort order for reviews.", "default": "mostRecent" }, "minRating": { "title": "Minimum Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Filter reviews to only include those with this rating or above. 1 = all reviews, 5 = only 5-star reviews.", "default": 1 }, "maxRating": { "title": "Maximum Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Filter reviews to only include those with this rating or below. 5 = all reviews, 1 = only 1-star reviews.", "default": 5 }, "includeAppInfo": { "title": "Include App Info", "type": "boolean", "description": "Include app metadata (name, developer, category, icon, etc.) with each review.", "default": true } } }, "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 } } } } } } } } } } ```