# App Review Monitor - iOS Alerts, Ratings & Signals (`nicolas_izquierdo/app-review-monitor`) Actor Monitor App Store reviews for your apps and competitors. Diff mode returns only NEW reviews (perfect for scheduled Slack/email alerts), filter by rating, track multiple countries, and get per-app review signals. Reads Apple's official public feeds only - no login, no proxies. - **URL**: https://apify.com/nicolas\_izquierdo/app-review-monitor.md - **Developed by:** [Nicolas Izquierdo](https://apify.com/nicolas_izquierdo) (community) - **Categories:** Automation, Developer tools, SEO tools - **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. 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 Review Monitor — iOS Alerts, Ratings & Signals **Watch the App Store reviews of your apps — and your competitors' — and get alerted when something new happens.** Most review scrapers dump raw reviews and leave the rest to you. This Actor is a **monitor**: schedule it daily, and with diff mode it returns only the reviews that weren't there yesterday — ready to pipe into Slack, email or a webhook. Filter to 1-2 stars and you have an early-warning system for angry users; point it at competitor apps and you get their complaints as your roadmap. It reads **Apple's official public feeds only** (the customer-reviews RSS and the iTunes lookup API). No login, no proxies, no anti-bot games — fast, cheap, reliable. ### What can it do? - **Diff mode (`newReviewsOnly`)**: only reviews not seen in previous runs — the foundation for scheduled alerts. Every review also carries an `isNew` flag. - **Negative-review alarm**: set `maxRating: 2` and get pinged only when a 1-2 star review lands. - **Multi-country**: check each app across any list of storefronts (`us`, `gb`, `es`, `de`, `jp`...). - **Review signals per app & country**: average rating of the recent window, rating distribution, negative share, newest review date — plus the app's overall store rating, total ratings, current version and developer from Apple's lookup API. - **Unified, clean output**: rating as a number, ISO dates, app name resolved automatically. Export JSON, CSV or Excel; MCP-ready for AI agents. ### Use cases | Who | What | |---|---| | Product managers | Know within hours when users start complaining about a release — negative-review alerts by version. | | Mobile studios & agencies | One scheduled run covering every client app, with per-app signals for reporting. | | Competitor research | Competitors' 1-star reviews = your feature roadmap and your ad copy. | | ASO / marketing | Track rating trends across countries after campaigns or launches. | ### Input ```json { "apps": [ "https://apps.apple.com/us/app/youtube/id544007664", "310633997" ], "countries": ["us", "gb", "es"], "maxRating": 2, "newReviewsOnly": true } ```` | Parameter | Type | Description | |---|---|---| | `apps` | Array (required) | App Store URLs or numeric app IDs. | | `countries` | Array | Storefront country codes (default `["us"]`). Each app is checked in every country. | | `maxReviewsPerApp` | Integer | Recent-review window per app & country (default 100, max ~500 — Apple's feed limit). | | `minRating` / `maxRating` | Integer | Rating window filter (1-5). `maxRating: 2` = negative reviews only. | | `newReviewsOnly` | Boolean | **Diff mode.** Only reviews not seen in previous runs. First run primes the memory. | | `trackNewReviews` | Boolean | Adds `isNew` to every review (default true). | | `computeSignals` | Boolean | One `review_signals` summary item per app & country (default true). | | `includeAppMeta` | Boolean | Enrich signals with overall rating, total ratings, version, developer (default true). | ### Output One item per review: ```json { "type": "review", "appId": "544007664", "appName": "YouTube", "country": "us", "reviewId": "14269247779", "rating": 2, "title": "Too many ads", "text": "The app is fine but the ads are out of control lately.", "author": "Some User", "appVersion": "21.26.4", "updatedAt": "2026-07-06T02:09:33-07:00", "isNew": true } ``` Plus one `review_signals` item per app & country (optional): ```json { "type": "review_signals", "appName": "YouTube", "country": "us", "windowSize": 100, "windowAvgRating": 3.9, "ratingDistribution": { "1": 12, "2": 8, "3": 10, "4": 20, "5": 50 }, "negativeShare": 0.2, "newReviewsSinceLastRun": 7, "overallRating": 4.67, "totalRatings": 47472624, "currentVersion": "21.22.04" } ``` ### Quick-start recipes **Daily negative-review alert for your app** (schedule daily + Slack integration): ```json { "apps": ["YOUR_APP_ID"], "countries": ["us", "gb"], "maxRating": 2, "newReviewsOnly": true } ``` **Competitor complaint mining:** ```json { "apps": ["COMPETITOR_1_ID", "COMPETITOR_2_ID"], "maxRating": 3, "maxReviewsPerApp": 300 } ``` **Multi-country rating dashboard (signals only):** ```json { "apps": ["YOUR_APP_ID"], "countries": ["us", "gb", "de", "es", "fr", "jp"], "maxReviewsPerApp": 100 } ``` ### FAQ **Is this allowed?** Yes — the Actor only reads Apple's official, public customer-reviews feeds and lookup API, which exist precisely so this data can be consumed programmatically. No authentication is bypassed. **How far back can it go?** Apple's feed exposes roughly the ~500 most recent reviews per storefront. That's why the monitor pattern works so well: run it on a schedule and you never miss one, building your own complete history in the dataset. **Android / Google Play?** Google doesn't offer an equivalent official public feed, and we only ship sources that don't violate terms of service. If that changes, it'll be added. **How does diff mode behave on the first run?** It returns everything and primes the per-app memory; from the second run on, only new reviews. ### Changelog **1.0** - Initial release: official Apple feeds, multi-country, rating filters, diff mode with `isNew`, per-app signals with store metadata. # Actor input Schema ## `apps` (type: `array`): iOS apps to monitor. Each item can be an App Store URL (e.g. `https://apps.apple.com/us/app/youtube/id544007664`) or a numeric app ID (e.g. `544007664`). ## `countries` (type: `array`): Two-letter country codes of the App Store storefronts to check (e.g. `us`, `gb`, `es`, `de`, `jp`). Each app is checked in every country listed. ## `maxReviewsPerApp` (type: `integer`): Apple's feed exposes up to ~500 most recent reviews per country (10 pages of 50). ## `minRating` (type: `integer`): Only include reviews with at least this rating (1-5). ## `maxRating` (type: `integer`): Only include reviews with at most this rating (1-5). Set to 2 to monitor only negative reviews. ## `newReviewsOnly` (type: `boolean`): Only return reviews not seen in previous runs. Schedule the Actor daily and wire a Slack/email/webhook integration to get alerted on new reviews. The first run primes the memory. ## `trackNewReviews` (type: `boolean`): Adds an `isNew` field to every review (true if not seen in previous runs). ## `computeSignals` (type: `boolean`): Push one summary item per app & country: average rating in the recent window, rating distribution, negative share, overall store rating and total ratings count. Great for competitor dashboards. ## `includeAppMeta` (type: `boolean`): Enrich signals with the app's public metadata (overall rating, total ratings, current version, developer) from Apple's lookup API. ## Actor input object example ```json { "apps": [ "544007664" ], "countries": [ "us" ], "maxReviewsPerApp": 100, "newReviewsOnly": false, "trackNewReviews": true, "computeSignals": true, "includeAppMeta": 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 = { "apps": [ "544007664" ] }; // Run the Actor and wait for it to finish const run = await client.actor("nicolas_izquierdo/app-review-monitor").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 = { "apps": ["544007664"] } # Run the Actor and wait for it to finish run = client.actor("nicolas_izquierdo/app-review-monitor").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 '{ "apps": [ "544007664" ] }' | apify call nicolas_izquierdo/app-review-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nicolas_izquierdo/app-review-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Review Monitor - iOS Alerts, Ratings & Signals", "description": "Monitor App Store reviews for your apps and competitors. Diff mode returns only NEW reviews (perfect for scheduled Slack/email alerts), filter by rating, track multiple countries, and get per-app review signals. Reads Apple's official public feeds only - no login, no proxies.", "version": "1.0", "x-build-id": "q4OfEwr4K4T3a65ff" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nicolas_izquierdo~app-review-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nicolas_izquierdo-app-review-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nicolas_izquierdo~app-review-monitor/runs": { "post": { "operationId": "runs-sync-nicolas_izquierdo-app-review-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nicolas_izquierdo~app-review-monitor/run-sync": { "post": { "operationId": "run-sync-nicolas_izquierdo-app-review-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "apps" ], "properties": { "apps": { "title": "Apps", "type": "array", "description": "iOS apps to monitor. Each item can be an App Store URL (e.g. `https://apps.apple.com/us/app/youtube/id544007664`) or a numeric app ID (e.g. `544007664`).", "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "Two-letter country codes of the App Store storefronts to check (e.g. `us`, `gb`, `es`, `de`, `jp`). Each app is checked in every country listed.", "default": [ "us" ], "items": { "type": "string" } }, "maxReviewsPerApp": { "title": "Max reviews per app & country", "minimum": 1, "maximum": 500, "type": "integer", "description": "Apple's feed exposes up to ~500 most recent reviews per country (10 pages of 50).", "default": 100 }, "minRating": { "title": "Min rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with at least this rating (1-5)." }, "maxRating": { "title": "Max rating", "minimum": 1, "maximum": 5, "type": "integer", "description": "Only include reviews with at most this rating (1-5). Set to 2 to monitor only negative reviews." }, "newReviewsOnly": { "title": "New reviews only (diff mode)", "type": "boolean", "description": "Only return reviews not seen in previous runs. Schedule the Actor daily and wire a Slack/email/webhook integration to get alerted on new reviews. The first run primes the memory.", "default": false }, "trackNewReviews": { "title": "Track new reviews across runs", "type": "boolean", "description": "Adds an `isNew` field to every review (true if not seen in previous runs).", "default": true }, "computeSignals": { "title": "Compute review signals", "type": "boolean", "description": "Push one summary item per app & country: average rating in the recent window, rating distribution, negative share, overall store rating and total ratings count. Great for competitor dashboards.", "default": true }, "includeAppMeta": { "title": "Include app metadata", "type": "boolean", "description": "Enrich signals with the app's public metadata (overall rating, total ratings, current version, developer) from Apple's lookup API.", "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 } } } } } } } } } } ```