# App Review Radar — App Store & Play Store Alerts (Vigia) (`om_kh/vigia-app-review-radar`) Actor Monitor iOS App Store and Google Play reviews for your app or competitors. Alerts only on new, actionable reviews: 1-star complaints, urgent issues, and review-volume spikes (bad-release / review-bombing). One unified Apple+Google feed. Charges per alert, never a monthly flat fee. - **URL**: https://apify.com/om\_kh/vigia-app-review-radar.md - **Developed by:** [omar khandji](https://apify.com/om_kh) (community) - **Categories:** Business, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 Review Radar — App Store & Play Store Alerts (Vigia) > Monitor iOS App Store and Google Play reviews for your app or competitors. Alerts only on new, actionable reviews: 1-star complaints, urgent issues, and review-volume spikes (bad-release / review-bombing). One unified Apple+Google feed. Charges per alert, never a monthly flat fee. ### What it does Unify Apple + Google reviews and get a bad-release / review-bombing spike alert. You get **only what changed since your last check** — never a full re-dump to diff yourself. ### Why Vigia — 5 advantages a raw scraper can't match 1. **You pay the alert price only for real change.** New-app review alerts are billed only for genuinely new app reviews since your last check. A quiet run bills just the small source-check fee (the cost of looking) — never the alert price on unchanged data. Raw scrapers bill every row of a full re-scan every run. 2. **Never billed on a failed source.** The source check is charged only when the source actually responded. If it's down, you don't pay for our outage. 3. **Append-only delta + spike signal.** The first monitored run stores a free baseline; later runs deliver only what's new, plus a velocity-spike alert when volume suddenly surges (trend / review-bomb / hiring-surge). 4. **Hard cost cap you control.** Set `maxTotalChargeUsd` and the run can never bill above it — predictable spend, no surprise invoice. 5. **Agent-ready output.** Clean, normalized rows and a `RUN_SUMMARY.json` with ready-to-use signals — chainable from any MCP / A2A agent in one step. ### Example input ```json { "appStoreApps": [ "389801252", "com.spotify.music" ], "monitorEnabled": true, "maxTotalChargeUsd": 1.0 } ```` Set `monitorEnabled: true` so the first run stores a free baseline and later runs return only new results. Pin a `monitorId` to keep separate targets from sharing state. ### Output Each row is a normalized change record: `record_id`, `subject_id`, `rating`, `severity`, `topic`, `actionable`, `signals`, `why_it_matters`, `text`. A `RUN_SUMMARY.json` accompanies every run with the aggregated signal (counts, velocity spikes, trend). ### How you're charged - **App review alert** — billed once per new app review since the last check (this is the only charge that scales with change). - **Source check** ($0.03) — billed once per monitored target per run, **only when the source responded**. A failed source is free. - **A quiet run bills only the source check** ($0.03), never the alert price. Vigia never scrapes the source itself; it chains a licensed scraper, caps every call, and passes you only the delta. *** *Part of the Vigia monitoring suite — change-only billing, outage-safe, agent-ready.* # Actor input Schema ## `appStoreApps` (type: `array`): iOS App Store apps to monitor. Paste either the numeric app id (e.g. 389801252) or the full App Store URL. ## `playStoreApps` (type: `array`): Google Play apps to monitor. Paste either the package name (e.g. com.instagram.android) or the full Play Store URL. ## `currentReviews` (type: `array`): Skip the chained fetch and pass review data directly. ## `previousReviews` (type: `array`): Reviews from the prior run; used to identify new reviews when not using persistent monitor mode. ## `maxTotalChargeUsd` (type: `number`): Hard maximum amount that this run may charge. ## `sources` (type: `array`): Declare every upstream source before this run. ## `monitorEnabled` (type: `boolean`): The first monitored run stores a free baseline. Later runs deliver and charge only new results. ## `monitorId` (type: `string`): Pins the persistent baseline to a name of your choice. Leave empty to derive automatically. ## Actor input object example ```json { "appStoreApps": [ "389801252", "com.spotify.music" ], "playStoreApps": [], "currentReviews": [], "previousReviews": [], "maxTotalChargeUsd": 1, "sources": [ { "name": "Chained App Store reviews actor", "authorization": "public_structured_data", "estimated_cost_usd": 0 }, { "name": "Chained Google Play reviews actor", "authorization": "public_structured_data", "estimated_cost_usd": 0 } ], "monitorEnabled": false, "monitorId": "" } ``` # 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 = { "appStoreApps": [ "389801252", "com.spotify.music" ] }; // Run the Actor and wait for it to finish const run = await client.actor("om_kh/vigia-app-review-radar").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 = { "appStoreApps": [ "389801252", "com.spotify.music", ] } # Run the Actor and wait for it to finish run = client.actor("om_kh/vigia-app-review-radar").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 '{ "appStoreApps": [ "389801252", "com.spotify.music" ] }' | apify call om_kh/vigia-app-review-radar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=om_kh/vigia-app-review-radar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Review Radar — App Store & Play Store Alerts (Vigia)", "description": "Monitor iOS App Store and Google Play reviews for your app or competitors. Alerts only on new, actionable reviews: 1-star complaints, urgent issues, and review-volume spikes (bad-release / review-bombing). One unified Apple+Google feed. Charges per alert, never a monthly flat fee.", "version": "0.1", "x-build-id": "GdGzyeth0AW3nm5th" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/om_kh~vigia-app-review-radar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-om_kh-vigia-app-review-radar", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/om_kh~vigia-app-review-radar/runs": { "post": { "operationId": "runs-sync-om_kh-vigia-app-review-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/om_kh~vigia-app-review-radar/run-sync": { "post": { "operationId": "run-sync-om_kh-vigia-app-review-radar", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxTotalChargeUsd" ], "properties": { "appStoreApps": { "title": "App Store apps", "type": "array", "description": "iOS App Store apps to monitor. Paste either the numeric app id (e.g. 389801252) or the full App Store URL.", "default": [], "items": { "type": "string" } }, "playStoreApps": { "title": "Google Play apps", "type": "array", "description": "Google Play apps to monitor. Paste either the package name (e.g. com.instagram.android) or the full Play Store URL.", "default": [], "items": { "type": "string" } }, "currentReviews": { "title": "Bring your own reviews (optional)", "type": "array", "description": "Skip the chained fetch and pass review data directly.", "default": [] }, "previousReviews": { "title": "Previous reviews (non-monitor mode)", "type": "array", "description": "Reviews from the prior run; used to identify new reviews when not using persistent monitor mode.", "default": [] }, "maxTotalChargeUsd": { "title": "Maximum Vigia charge (USD)", "minimum": 0, "type": "number", "description": "Hard maximum amount that this run may charge.", "default": 1 }, "sources": { "title": "Declared upstream sources and estimated costs", "type": "array", "description": "Declare every upstream source before this run.", "default": [ { "name": "Chained App Store reviews actor", "authorization": "public_structured_data", "estimated_cost_usd": 0 }, { "name": "Chained Google Play reviews actor", "authorization": "public_structured_data", "estimated_cost_usd": 0 } ] }, "monitorEnabled": { "title": "Monitor only new results", "type": "boolean", "description": "The first monitored run stores a free baseline. Later runs deliver and charge only new results.", "default": false }, "monitorId": { "title": "Monitor ID (optional)", "type": "string", "description": "Pins the persistent baseline to a name of your choice. Leave empty to derive automatically.", "default": "" } } }, "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 } } } } } } } } } } ```