# Appstore Reviews Scraper (`bulletproof/appstore-reviews-scraper`) Actor ⭐ Extract reviews from any iOS app on the Apple App Store. Scrape ratings, review text, author, version & date across 155 countries. Filter by star rating or keyword. No API key needed. - **URL**: https://apify.com/bulletproof/appstore-reviews-scraper.md - **Developed by:** [Zero Downtime](https://apify.com/bulletproof) (community) - **Categories:** AI, Developer tools, Agents - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / 1,000 results 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.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 reviews from any iOS app on the Apple App Store. Scrape ratings, review text, author, version & date across 155 countries. Filter by star rating or keyword. No API key needed. > **Perfect for:** sentiment analysis, competitor research, ASO keyword discovery, bug tracking, and reputation monitoring — all without writing a single line of scraping code. ### What it does 1. You provide one or more App Store app IDs (the numeric ID from the App Store URL, e.g. `310633997` for Instagram). 2. The actor fetches reviews from the countries you specify. 3. You get back structured reviews with app metadata — ready for sentiment analysis, ASO research, or competitor monitoring. ### Key features - **Multi-app** — scrape several apps in one run. - **155 countries** — any country the App Store supports. - **Filter by rating** — e.g. only 1–2 star reviews for complaint analysis. - **Filter by keyword** — find reviews mentioning "crash", "refund", etc. - **Sort** — by most recent or by rating. - **App metadata** — name, developer, category, overall rating, icon URL. - **No API key required.** ### Finding an app's numeric ID The numeric ID appears in the App Store URL: `https://apps.apple.com/app/instagram/id310633997` → ID is `310633997` ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `appIds` | `string[]` | *(required)* | Numeric App Store IDs, e.g. `["310633997", "324684580"]` | | `countries` | `string[]` | `["us"]` | ISO 3166-1 alpha-2 country codes | | `minRating` | `integer` | `1` | Only include reviews with rating ≥ this (1–5) | | `maxRating` | `integer` | `5` | Only include reviews with rating ≤ this (1–5) | | `filterKeyword` | `string` | `""` | Only include reviews containing this keyword (case-insensitive) | | `sortBy` | `string` | `"recent"` | `"recent"` (newest first) or `"rating"` | | `maxReviewsPerApp` | `integer` | `0` | Max reviews per app (0 = no limit, ~500 max per country) | ### Output example ```json { "appId": "310633997", "store": "app_store", "app": { "name": "Instagram", "developer": "Meta Platforms, Inc.", "category": "Photo & Video", "rating": 4.7, "ratingCount": 5000000, "url": "https://apps.apple.com/app/instagram/id310633997", "iconUrl": "https://..." }, "review": { "id": "as:xxx", "rating": 5, "title": "Amazing app", "body": "Best social media app out there.", "authorName": "Jane Doe", "appVersion": "300.0.0", "country": "us", "language": "en", "createdAt": "2026-03-15T10:00:00", "updatedAt": null, "isEdited": false, "fetchedAt": "2026-04-12T09:00:00" } } ```` When an app fails, a single error record is pushed and the run continues: ```json { "appId": "000000000", "store": "app_store", "error": "FETCH_FAILED", "message": "..." } ``` ### Use cases - **Sentiment analysis** — track how users feel about your app over time. - **Competitor research** — find what users dislike about rival apps. - **ASO (App Store Optimization)** — identify keywords users mention in reviews. - **Bug tracking** — filter by keyword (`"crash"`, `"freeze"`) to find widespread issues. - **Reputation monitoring** — watch for rating drops across regions. ### Integrations - **Python** — `apify_client.actor("your-actor-id").call(run_input={"appIds": [...]})` - **JavaScript** — `await client.actor("your-actor-id").call({appIds: [...]})` - **Zapier / Make / n8n** — trigger on a schedule and feed reviews into your CRM or Slack. # Actor input Schema ## `appIds` (type: `array`): Numeric App Store IDs (found in the App Store URL, e.g. id310633997 → "310633997"). ## `countries` (type: `array`): ISO 3166-1 alpha-2 country codes to fetch reviews from. ## `minRating` (type: `integer`): Only include reviews with a star rating at or above this value (1–5). ## `maxRating` (type: `integer`): Only include reviews with a star rating at or below this value (1–5). ## `filterKeyword` (type: `string`): Only include reviews whose title or body contains this keyword (case-insensitive). Leave empty to include all reviews. ## `sortBy` (type: `string`): Sort order for reviews. ## `maxReviewsPerApp` (type: `integer`): Maximum number of reviews to return per app across all countries. Set to 0 for no limit (~500 max per country from Apple RSS). ## Actor input object example ```json { "appIds": [ "310633997" ], "countries": [ "us" ], "minRating": 1, "maxRating": 5, "filterKeyword": "", "sortBy": "recent", "maxReviewsPerApp": 0 } ``` # Actor output Schema ## `overview` (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": [ "310633997" ], "countries": [ "us" ], "minRating": 1, "maxRating": 5, "filterKeyword": "", "sortBy": "recent", "maxReviewsPerApp": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("bulletproof/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": ["310633997"], "countries": ["us"], "minRating": 1, "maxRating": 5, "filterKeyword": "", "sortBy": "recent", "maxReviewsPerApp": 0, } # Run the Actor and wait for it to finish run = client.actor("bulletproof/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": [ "310633997" ], "countries": [ "us" ], "minRating": 1, "maxRating": 5, "filterKeyword": "", "sortBy": "recent", "maxReviewsPerApp": 0 }' | apify call bulletproof/appstore-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bulletproof/appstore-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Appstore Reviews Scraper", "description": "⭐ Extract reviews from any iOS app on the Apple App Store. Scrape ratings, review text, author, version & date across 155 countries. Filter by star rating or keyword. No API key needed.", "version": "0.1", "x-build-id": "pxlwIX5t7aMbb5e5b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bulletproof~appstore-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bulletproof-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bulletproof~appstore-reviews-scraper/runs": { "post": { "operationId": "runs-sync-bulletproof-appstore-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bulletproof~appstore-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-bulletproof-appstore-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Store IDs", "type": "array", "description": "Numeric App Store IDs (found in the App Store URL, e.g. id310633997 → \"310633997\")." }, "countries": { "title": "Countries", "type": "array", "description": "ISO 3166-1 alpha-2 country codes to fetch reviews from.", "default": [ "us" ] }, "minRating": { "title": "Minimum Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with a star rating at or above this value (1–5).", "default": 1 }, "maxRating": { "title": "Maximum Rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with a star rating at or below this value (1–5).", "default": 5 }, "filterKeyword": { "title": "Filter Keyword", "type": "string", "description": "Only include reviews whose title or body contains this keyword (case-insensitive). Leave empty to include all reviews.", "default": "" }, "sortBy": { "title": "Sort By", "enum": [ "recent", "rating" ], "type": "string", "description": "Sort order for reviews.", "default": "recent" }, "maxReviewsPerApp": { "title": "Max Reviews Per App", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to return per app across all countries. Set to 0 for no limit (~500 max per country from Apple RSS).", "default": 0 } } }, "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 } } } } } } } } } } ```