# App Store Reviews (uncapped) (`heenalr/appstore-reviews`) Actor iOS App Store reviews beyond Apple's 500-per-country cap, aggregated across storefronts and deduped, plus app metadata. Official public RSS, no key. - **URL**: https://apify.com/heenalr/appstore-reviews.md - **Developed by:** [Heenal Rajani](https://apify.com/heenalr) (community) - **Categories:** Developer tools, E-commerce, Agents - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / 1,000 reviews 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 ## App Store Reviews (uncapped) ⭐ Pull **iOS App Store customer reviews** for any app — **past Apple's 500-review-per-country limit** — by aggregating across storefronts and de-duplicating, plus full app metadata. No API key, no login, no anti-bot: it uses only Apple's **official public RSS feed and iTunes lookup API**. The most complete **App Store review scraper** and **iOS app reviews API** for ASO keyword research, review sentiment analysis, and competitor monitoring. ### The problem this solves Apple's public reviews feed caps at ~500 reviews per app, per country. Every basic scraper hits that wall. This actor gets around it the clean way — each App Store **storefront** (country) exposes its own ~500, so pulling from several and merging (deduped by review ID) gives you thousands of real reviews. Want everything? Pass more countries. ### Who uses this - **App developers & PMs** monitoring reviews and triaging complaints at scale. - **ASO / app-marketing teams** mining review language for keywords and sentiment. - **Competitive analysts** studying a rival app's full review history. - **AI agents** doing app research / sentiment analysis (clean JSON, per-review billing). ### Input ```json { "appId": "618783545", "countries": ["us", "gb", "ca", "au"], "sortBy": "mostRecent", "maxReviews": 2000 } ```` | Field | Required | Description | |---|---|---| | `appId` | ✅ | Numeric App Store id (the number in the `apps.apple.com` URL) | | `countries` | | Storefronts to pull from; each adds up to ~500 more (deduped). Default `["us"]` | | `sortBy` | | `mostRecent` or `mostHelpful` | | `maxReviews` | | Cap on total reviews returned | | `includeAppInfo` | | Also store app name, developer, average rating, total count | ### Output Each review: `review_id`, `country`, `author`, `rating` (1–5), `title`, `review`, `app_version`, `updated`. App metadata (name, developer, average rating, total rating count) is saved to the key-value store as `APP_INFO`. ### Pricing **Pay per review** returned. App metadata lookup is free. ### How it works For each requested storefront it walks Apple's public `customerreviews` RSS (up to its 10-page / 500-review limit), parses the JSON, normalizes each review, and merges across countries with de-duplication by review ID. Everything comes from Apple's official public endpoints — nothing gated or scraped from protected pages. ### FAQ **How do I find the app id?** It's the number in the App Store URL, e.g. `apps.apple.com/us/app/slack/id618783545` → `618783545`. **Can I really get more than 500 reviews?** Yes — by adding storefronts. One country ≈ 500; ten countries ≈ up to 5,000, deduped. **Android / Google Play?** Not yet — this is iOS App Store only. ### Roadmap - Google Play reviews companion actor - Incremental mode (only reviews since last run) - Standby mode for low-latency agent lookups # Actor input Schema ## `appId` (type: `string`): Numeric iOS App Store app id (the number in the apps.apple.com URL, e.g. 618783545 for Slack). ## `countries` (type: `array`): Which App Store country storefronts to pull from. Each adds up to ~500 more reviews; results are deduped. ## `sortBy` (type: `string`): Order reviews by most recent or most helpful. ## `maxReviews` (type: `integer`): Maximum number of reviews to return across all storefronts. ## `includeAppInfo` (type: `boolean`): Also store app name, developer, average rating and total rating count in the key-value store. ## Actor input object example ```json { "countries": [ "us", "gb", "ca", "au" ], "sortBy": "mostRecent", "maxReviews": 500, "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 = { "countries": [ "us", "gb", "ca", "au" ] }; // Run the Actor and wait for it to finish const run = await client.actor("heenalr/appstore-reviews").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 = { "countries": [ "us", "gb", "ca", "au", ] } # Run the Actor and wait for it to finish run = client.actor("heenalr/appstore-reviews").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 '{ "countries": [ "us", "gb", "ca", "au" ] }' | apify call heenalr/appstore-reviews --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=heenalr/appstore-reviews", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Reviews (uncapped)", "description": "iOS App Store reviews beyond Apple's 500-per-country cap, aggregated across storefronts and deduped, plus app metadata. Official public RSS, no key.", "version": "0.1", "x-build-id": "n3dc8eBpe9fnfb1hT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/heenalr~appstore-reviews/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-heenalr-appstore-reviews", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/heenalr~appstore-reviews/runs": { "post": { "operationId": "runs-sync-heenalr-appstore-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/heenalr~appstore-reviews/run-sync": { "post": { "operationId": "run-sync-heenalr-appstore-reviews", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appId" ], "properties": { "appId": { "title": "App Store ID", "type": "string", "description": "Numeric iOS App Store app id (the number in the apps.apple.com URL, e.g. 618783545 for Slack)." }, "countries": { "title": "Storefronts (country codes)", "type": "array", "description": "Which App Store country storefronts to pull from. Each adds up to ~500 more reviews; results are deduped.", "items": { "type": "string" } }, "sortBy": { "title": "Sort by", "enum": [ "mostRecent", "mostHelpful" ], "type": "string", "description": "Order reviews by most recent or most helpful.", "default": "mostRecent" }, "maxReviews": { "title": "Max reviews", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of reviews to return across all storefronts.", "default": 500 }, "includeAppInfo": { "title": "Include app metadata", "type": "boolean", "description": "Also store app name, developer, average rating and total rating count in the key-value store.", "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 } } } } } } } } } } ```