# Appstore Reviews Scraper (`fetchcraftlabs/apple-appstore-reviews-scraper`) Actor extracts reviews from Apple App Store apps at scale. Collect ratings, review text, author names, dates, and versions for analytics, sentiment analysis, monitoring competitors, or tracking user feedback automatically. - **URL**: https://apify.com/fetchcraftlabs/apple-appstore-reviews-scraper.md - **Developed by:** [FetchCraft Labs](https://apify.com/fetchcraftlabs) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 53 total users, 5 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 Collect Apple App Store reviews for any public app page and turn them into clean, structured data you can analyze, monitor, or integrate into workflows. ### What this Actor does - Extracts the app id, storefront, and slug from a full App Store URL - Retrieves reviews from the App Store review API - Normalizes review fields into a consistent dataset format - Supports Apify Proxy or custom proxies for reliability at scale ### Typical use cases - Track product sentiment and ratings over time - Monitor review volume and feedback after releases - Build review datasets for analytics or dashboards - Feed reviews into CRM, support, or alerting workflows ### How it works 1. You provide an App Store URL. 2. The Actor resolves app metadata (storefront, id, slug). 3. It fetches review batches, automatically switching to parallel batch loading for larger pulls, and pushes normalized items to the dataset. ### Input - `appUrl` (required): Full App Store URL for the target app. - `maxReviews` (optional, default: 100): Maximum number of reviews to fetch. - `country` (optional, default: `us`): Two-letter storefront code to use for reviews. Overrides the country from the App Store URL. - `proxyConfiguration` (optional): Apify Proxy or custom proxy URLs. If omitted, the Actor prefers Apify Proxy `DATACENTER` by default, falls back to automatic Apify proxy selection if that group is unavailable, and only runs without proxy if Apify Proxy cannot be accessed. Example input: ```json { "appUrl": "https://apps.apple.com/us/app/facebook/id284882215", "maxReviews": 250, "country": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["DATACENTER"] } } ```` ### Output The Actor stores normalized review records in the default dataset. Each item contains: - `reviewId` - `appId` - `appName` (URL slug from the App Store URL) - `rating` - `title` - `text` - `author` - `date` Example output item: ```json { "reviewId": "1234567890", "appId": "284882215", "appName": "facebook", "rating": 4, "title": "Good overall", "text": "Solid experience, but notifications could be better.", "author": "User123", "date": "2024-08-18T12:34:56Z" } ``` # Actor input Schema ## `appUrl` (type: `string`): Full App Store URL for the app you want to scrape (for example, https://apps.apple.com/us/app/facebook/id284882215). ## `maxReviews` (type: `integer`): Maximum number of reviews to fetch. ## `country` (type: `string`): Two-letter storefront code to use for reviews (overrides the country in the App Store URL). ## `proxyConfiguration` (type: `object`): Proxy settings for Apify Proxy or custom proxy URLs. ## Actor input object example ```json { "appUrl": "https://apps.apple.com/us/app/facebook/id284882215", "maxReviews": 100, "country": "us", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `reviews` (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 = { "appUrl": "https://apps.apple.com/us/app/facebook/id284882215" }; // Run the Actor and wait for it to finish const run = await client.actor("fetchcraftlabs/apple-appstore-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 = { "appUrl": "https://apps.apple.com/us/app/facebook/id284882215" } # Run the Actor and wait for it to finish run = client.actor("fetchcraftlabs/apple-appstore-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 '{ "appUrl": "https://apps.apple.com/us/app/facebook/id284882215" }' | apify call fetchcraftlabs/apple-appstore-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fetchcraftlabs/apple-appstore-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Appstore Reviews Scraper", "description": "extracts reviews from Apple App Store apps at scale. Collect ratings, review text, author names, dates, and versions for analytics, sentiment analysis, monitoring competitors, or tracking user feedback automatically.", "version": "1.0", "x-build-id": "6zKWTrvMYohPXlsFy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fetchcraftlabs~apple-appstore-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fetchcraftlabs-apple-appstore-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fetchcraftlabs~apple-appstore-reviews-scraper/runs": { "post": { "operationId": "runs-sync-fetchcraftlabs-apple-appstore-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fetchcraftlabs~apple-appstore-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-fetchcraftlabs-apple-appstore-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appUrl" ], "properties": { "appUrl": { "title": "App Store URL", "type": "string", "description": "Full App Store URL for the app you want to scrape (for example, https://apps.apple.com/us/app/facebook/id284882215)." }, "maxReviews": { "title": "Max Reviews", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to fetch.", "default": 100 }, "country": { "title": "Country", "pattern": "^[a-z]{2}$", "minLength": 2, "maxLength": 2, "type": "string", "description": "Two-letter storefront code to use for reviews (overrides the country in the App Store URL).", "default": "us" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for Apify Proxy or custom proxy URLs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```