# App Store Review Monitor — New Reviews & Competitor Alerts (`leadharbor/app-store-review-monitor`) Actor Monitor App Store reviews for your app and competitors. Scheduled alerts on new reviews (especially negative), with sentiment. Built for indie app developers. Free Apple RSS data. - **URL**: https://apify.com/leadharbor/app-store-review-monitor.md - **Developed by:** [Mohammed Samaan](https://apify.com/leadharbor) (community) - **Categories:** E-commerce, Social media, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Review Monitor — New Reviews & Competitor Alerts Get alerted the moment a **new App Store review** lands — for **your app and your competitors** — with sentiment, version, and an optional "negative-only" mode that flags 1–2★ reviews before they snowball into churn or a bad rating. Built for **indie app developers and small studios** who can't justify $500/mo ASO suites. Free, official **Apple reviews RSS** data — no API key, no anti-bot. ### What you get per new review | Field | Meaning | |---|---| | `app` | Which app (yours or a competitor) | | `rating` + `sentiment` | 1–5★ → positive / neutral / negative | | `title` / `review` | The review text | | `version` | App version reviewed | | `checkedAt` | When it was captured | ### How it works Resolve each app (by App Store ID or name), pull recent reviews from Apple's public RSS feed, compare against the last run's snapshot, and emit only the **new** ones. Run it on an Apify **schedule** to make it a true monitor. `onlyNegative` surfaces just the 1–2★ early-warnings; `webhookUrl` pushes them to Slack/Zapier/email. ### Input | Field | What it does | |---|---| | `apps` | App Store IDs or names, one per line (add competitors) | | `country` | Store country code (us, gb, in, ae, om…) | | `onlyNegative` | Only 1–2★ reviews | | `keyword` | Only reviews mentioning a word (e.g. a feature) | | `webhookUrl` | Optional JSON push | > First run sets a **baseline**; new reviews appear from the second run on. ### Pricing Pay-per-result: per **app checked** + per **new review found**. Developers watch their app + 2–3 competitors daily → recurring by nature. ### Deploy See [`DEPLOY.md`](./DEPLOY.md). Google Play support is a planned add-on. # Actor input Schema ## `apps` (type: `array`): App Store numeric IDs (e.g. 389801252) or app names (e.g. "Notion"), one per line. Add competitors too. ## `country` (type: `string`): Two-letter App Store country code (us, gb, in, ae, om, ...). ## `onlyNegative` (type: `boolean`): Surface only low-star reviews — the churn / PR-risk early warning. ## `keyword` (type: `string`): Only report reviews mentioning this word (e.g. a feature name). ## `maxPages` (type: `integer`): ~50 reviews per page. ## `webhookUrl` (type: `string`): POST new reviews here as JSON (Slack/Zapier/email). ## Actor input object example ```json { "apps": [ "Notion" ], "country": "us", "onlyNegative": false, "maxPages": 5 } ```` # 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": [ "Notion" ] }; // Run the Actor and wait for it to finish const run = await client.actor("leadharbor/app-store-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": ["Notion"] } # Run the Actor and wait for it to finish run = client.actor("leadharbor/app-store-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": [ "Notion" ] }' | apify call leadharbor/app-store-review-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leadharbor/app-store-review-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Review Monitor — New Reviews & Competitor Alerts", "description": "Monitor App Store reviews for your app and competitors. Scheduled alerts on new reviews (especially negative), with sentiment. Built for indie app developers. Free Apple RSS data.", "version": "0.1", "x-build-id": "aPg2zWaL3Z54ZIrax" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leadharbor~app-store-review-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leadharbor-app-store-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/leadharbor~app-store-review-monitor/runs": { "post": { "operationId": "runs-sync-leadharbor-app-store-review-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/leadharbor~app-store-review-monitor/run-sync": { "post": { "operationId": "run-sync-leadharbor-app-store-review-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 to monitor", "type": "array", "description": "App Store numeric IDs (e.g. 389801252) or app names (e.g. \"Notion\"), one per line. Add competitors too.", "items": { "type": "string" } }, "country": { "title": "Country store", "type": "string", "description": "Two-letter App Store country code (us, gb, in, ae, om, ...).", "default": "us" }, "onlyNegative": { "title": "Only negative (1–2★)", "type": "boolean", "description": "Surface only low-star reviews — the churn / PR-risk early warning.", "default": false }, "keyword": { "title": "Keyword filter (optional)", "type": "string", "description": "Only report reviews mentioning this word (e.g. a feature name)." }, "maxPages": { "title": "Pages per app", "minimum": 1, "maximum": 10, "type": "integer", "description": "~50 reviews per page.", "default": 5 }, "webhookUrl": { "title": "Webhook URL (optional)", "type": "string", "description": "POST new reviews here as JSON (Slack/Zapier/email)." } } }, "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 } } } } } } } } } } ```