# App Store Reviews Scraper (`scrapers_lat/app-store-reviews-scraper`) Actor Extract Apple App Store reviews and ratings for any app by id, URL or search term. - **URL**: https://apify.com/scrapers\_lat/app-store-reviews-scraper.md - **Developed by:** [Michael Flores](https://apify.com/scrapers_lat) (community) - **Categories:** Developer tools, Automation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## App Store Reviews Scraper > Extract Apple App Store reviews and ratings for any app, by app ID, App Store URL or search term. ![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify&logoColor=white) ![Coverage](https://img.shields.io/badge/Coverage-All%20App%20Store-blue) ![Maintained](https://img.shields.io/badge/Maintained-Yes-brightgreen) ![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange) ### What you get One record per review, joined with live app rating data, ready for product feedback analysis, sentiment tracking and competitor research. - **appId**, **appName**, **seller**, **genre**, **url** - **appAverageRating**, **appRatingCount**, **appVersionLatest** - **rating**: the review's star rating (1 to 5) - **title**, **body**: the review text - **author**, **authorUrl** - **appVersion**: the app version the review was written for - **voteSum**, **voteCount**: how other users voted the review - **updatedAt**: when the review was posted - **country**, **reviewId**, **observedAt** ### How to use it Provide any of these (you can mix them): - **App IDs** like `324684580` - **App Store URLs** like `https://apps.apple.com/us/app/spotify/id324684580` - A **search term** to pull the top matching apps Set the **country** code (us, gb, mx, br and more), the **reviews per app** cap, and whether to sort by most recent or most helpful. ### Frequently Asked Questions **How many reviews can I get per app?** The App Store public feed returns up to around 500 reviews per app per country. To go deeper, run the same app across several country codes. **Can I scrape multiple apps at once?** Yes. Pass a list of app IDs or URLs, or a search term, and every matched app is scraped in one run. **Do I need a proxy?** No. The actor reads Apple's public iTunes feeds directly, so it runs without any proxy. ### Related scrapers Need data from the same space? Here are other scrapers we build and maintain: - [Instagram Profile & Posts Scraper](https://apify.com/scrapers_lat/instagram-scraper): Extract public Instagram profiles and recent posts by username without login. - [YouTube Scraper](https://apify.com/scrapers_lat/youtube-scraper): Scrape YouTube videos and channels by search query, video URL or channel URL. - [X (Twitter) Profiles & Tweets Scraper](https://apify.com/scrapers_lat/x-twitter-scraper): Extract public X (Twitter) tweets by tweet ID: text, author, likes, replies, media and timestamps. - [Reddit Posts & Comments Scraper](https://apify.com/scrapers_lat/reddit-scraper): Extract Reddit posts and comments from subreddits and search results using the public Reddit feeds. - [TikTok Creative Center Top Ads Scraper](https://apify.com/scrapers_lat/tiktok-creative-center-scraper): Scrape top-performing TikTok ads from the public Creative Center by country, time period and... - [Google Play App Details Scraper](https://apify.com/scrapers_lat/google-play-apps-scraper): Extract app listings and details from the Google Play Store by search, app IDs, developer or... ### More scrapers at scrapers.lat This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat). --- > This actor is an independent tool and has no affiliation with Apple Inc. It only accesses data that is publicly available through Apple's public iTunes feeds. Use it in accordance with Apple's terms of service. # Actor input Schema ## `appIds` (type: `array`): Apple App Store numeric app IDs (e.g. 324684580 for Spotify). ## `appUrls` (type: `array`): Full App Store URLs (e.g. https://apps.apple.com/us/app/spotify/id324684580). The app ID and country are read from the URL. ## `searchTerm` (type: `string`): Find apps by name and scrape the reviews of the top matches. ## `searchLimit` (type: `integer`): How many apps to take from the search term. ## `country` (type: `string`): Two-letter App Store country code for ratings and reviews (e.g. us, gb, mx, br). ## `maxReviews` (type: `integer`): Maximum reviews to fetch per app (the App Store feed caps at about 500). ## `sortBy` (type: `string`): Order reviews by most recent or most helpful. ## Actor input object example ```json { "appIds": [ "324684580" ], "appUrls": [], "searchLimit": 3, "country": "us", "maxReviews": 100, "sortBy": "mostRecent" } ```` # Actor output Schema ## `results` (type: `string`): No description # 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": [ "324684580" ], "appUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers_lat/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": ["324684580"], "appUrls": [], } # Run the Actor and wait for it to finish run = client.actor("scrapers_lat/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": [ "324684580" ], "appUrls": [] }' | apify call scrapers_lat/app-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers_lat/app-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Reviews Scraper", "description": "Extract Apple App Store reviews and ratings for any app by id, URL or search term.", "version": "0.1", "x-build-id": "HkEy23GhFBq1KVuAz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers_lat~app-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers_lat-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers_lat~app-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-scrapers_lat-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers_lat~app-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers_lat-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "appIds": { "title": "App IDs", "type": "array", "description": "Apple App Store numeric app IDs (e.g. 324684580 for Spotify).", "items": { "type": "string" } }, "appUrls": { "title": "App Store URLs", "type": "array", "description": "Full App Store URLs (e.g. https://apps.apple.com/us/app/spotify/id324684580). The app ID and country are read from the URL.", "items": { "type": "string" } }, "searchTerm": { "title": "Search term", "type": "string", "description": "Find apps by name and scrape the reviews of the top matches." }, "searchLimit": { "title": "Apps per search", "minimum": 1, "type": "integer", "description": "How many apps to take from the search term.", "default": 3 }, "country": { "title": "Country", "type": "string", "description": "Two-letter App Store country code for ratings and reviews (e.g. us, gb, mx, br).", "default": "us" }, "maxReviews": { "title": "Reviews per app", "minimum": 0, "type": "integer", "description": "Maximum reviews to fetch per app (the App Store feed caps at about 500).", "default": 100 }, "sortBy": { "title": "Sort reviews 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 } } } } } } } } } } ```