# App Store Reviews Scraper - Fast & Reliable (`justfeel/appstore-reviews-scraper`) Actor Extract Apple App Store reviews for any app across 175 countries. Rating, title, text, author, version, votes - clean JSON via Apple's own public feeds. No login required. - **URL**: https://apify.com/justfeel/appstore-reviews-scraper.md - **Developed by:** [Yusuf](https://apify.com/justfeel) (community) - **Categories:** E-commerce, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 reviews This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 — Fast & Reliable Extract **Apple App Store reviews** for any iOS/macOS app across **175 country storefronts** — as clean, structured JSON. Built directly on Apple's own public feeds, so it never breaks the way headless-browser scrapers do. ### What you get per review ```json { "review_id": "12345678901", "title": "Love this app", "text": "Been using it daily for a year...", "rating": 5, "author": "nickname123", "app_version": "382.0", "date": "2026-07-15T09:12:44-07:00", "vote_sum": 3, "vote_count": 4, "country": "us", "app_id": "389801252", "app_name": "Instagram" } ```` ### Why this scraper - ✅ **Never breaks** — uses Apple's official public review feeds, not fragile UI scraping - ✅ **Multi-country in one run** — pass `["us", "gb", "de", "tr", "jp"]` and get each storefront's reviews - ✅ **Multi-app in one run** — track your whole portfolio or your competitors' apps - ✅ **Fast & cheap** — no browser, no proxies, no login - ✅ **Sort by recency or helpfulness** ### Use cases - **Product teams**: monitor sentiment after each release, catch bug complaints early - **ASO & mobile marketing**: mine competitor reviews for feature gaps and keywords - **AI & NLP pipelines**: feed structured review text into sentiment/LLM analysis - **Agencies**: automated weekly review reports for clients ### Input example ```json { "appIds": ["389801252", "310633997"], "countries": ["us", "gb"], "sort": "mostrecent", "maxReviewsPerApp": 500 } ``` ### Limits Apple's feeds expose up to ~500 reviews per app, per country, per sort order (10 pages × 50). Run on a schedule to build a complete historical dataset over time. ### FAQ **Is this legal?** The actor reads Apple's publicly available review feeds — the same data anyone sees on the App Store. No login, no private data. **Google Play too?** This actor is App Store-only by design — one tool, done well. A companion Google Play actor is on the roadmap. # Actor input Schema ## `appIds` (type: `array`): Numeric App Store app IDs. Find it in the app's URL, e.g. apps.apple.com/us/app/instagram/id389801252 → 389801252. ## `countries` (type: `array`): Two-letter storefront country codes (us, gb, de, tr, jp, ...). Reviews are per-country on the App Store. ## `sort` (type: `string`): Sort reviews by recency or helpfulness. ## `maxReviewsPerApp` (type: `integer`): Apple exposes up to ~500 reviews (10 pages x 50) per app per country per sort order. ## `includeAppMetadata` (type: `boolean`): Look up the app's name and attach it to every review. ## Actor input object example ```json { "appIds": [ "389801252" ], "countries": [ "us" ], "sort": "mostrecent", "maxReviewsPerApp": 500, "includeAppMetadata": 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": [ "389801252" ] }; // Run the Actor and wait for it to finish const run = await client.actor("justfeel/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 = { "appIds": ["389801252"] } # Run the Actor and wait for it to finish run = client.actor("justfeel/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 '{ "appIds": [ "389801252" ] }' | apify call justfeel/appstore-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=justfeel/appstore-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Reviews Scraper - Fast & Reliable", "description": "Extract Apple App Store reviews for any app across 175 countries. Rating, title, text, author, version, votes - clean JSON via Apple's own public feeds. No login required.", "version": "0.1", "x-build-id": "2r8VXUSpqzlId06lN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/justfeel~appstore-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-justfeel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/justfeel~appstore-reviews-scraper/runs": { "post": { "operationId": "runs-sync-justfeel-appstore-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/justfeel~appstore-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-justfeel-appstore-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appIds" ], "properties": { "appIds": { "title": "App IDs", "type": "array", "description": "Numeric App Store app IDs. Find it in the app's URL, e.g. apps.apple.com/us/app/instagram/id389801252 → 389801252.", "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "Two-letter storefront country codes (us, gb, de, tr, jp, ...). Reviews are per-country on the App Store.", "default": [ "us" ], "items": { "type": "string" } }, "sort": { "title": "Sort order", "enum": [ "mostrecent", "mosthelpful" ], "type": "string", "description": "Sort reviews by recency or helpfulness.", "default": "mostrecent" }, "maxReviewsPerApp": { "title": "Max reviews per app per country", "minimum": 1, "maximum": 500, "type": "integer", "description": "Apple exposes up to ~500 reviews (10 pages x 50) per app per country per sort order.", "default": 500 }, "includeAppMetadata": { "title": "Include app name", "type": "boolean", "description": "Look up the app's name and attach it to every 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 } } } } } } } } } } ```