# App Store Negative Reviews Alert & Monitor (`davidbenittah/appstore-negative-review-digest`) Actor Watch your iOS apps on a schedule and get only the new negative App Store reviews since the last run, at or below your star threshold. Each alert carries the rating, title, full text, app version, country and store link, read from Apple's public customer review feed. - **URL**: https://apify.com/davidbenittah/appstore-negative-review-digest.md - **Developed by:** [David](https://apify.com/davidbenittah) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 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/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 Store Negative Reviews Alert & Monitor **App Store negative reviews alert and iOS app review monitor.** Watch your apps on a schedule and get only the new negative App Store reviews since the last run: 1★ and 2★ by default, with the rating, the title, the full text, the app version, the country store and a direct App Store link. A 1★ review answered within a day is a save. The same one found three weeks later is churn and a lower average. Apple does not notify you; this Actor does. ### How the App Store review monitor works 1. Reads the **most recent reviews** of your apps from Apple's public review feed — per country store, because App Store reviews are per-country. 2. Keeps only reviews at or below your star threshold. 3. Remembers every negative review it has already seen (per monitor, in a persistent state store) and outputs **only the NEW ones** on every later run — schedule it daily and you get a clean alert stream, never duplicates. ### How to use it - **Daily alert**: create a daily schedule; pipe the dataset to Slack, email or Make/Zapier. Most days it outputs nothing — that's the point. - **Version regression watch**: `appVersion` on each review shows instantly when a new release starts generating 1★ complaints. - **Multi-country apps**: list every store you care about in `countries` — a French bug wave is invisible in the US feed. ### Ready-made tasks - **Daily 1-star review alert for one iOS app** — one app, US store, 1★ only, silent first run. - **App Store review regression check after a release** — 1★ and 2★ with the app version that drew them. - **Negative App Store reviews in US, FR and DE** — three country stores in a single run. ### Input example ```json { "appIds": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"], "countries": ["us", "fr", "de"], "maxStars": 2 } ```` Paste full App Store URLs or numeric IDs — both work. The defaults work as-is. ### App Store review data you get One dataset row per new negative review, readable as JSON, CSV or Excel and available from the Apify API: review ID, app ID, app name, App Store URL, country, rating, title, full text, app version, review date and first detection date. The run summary adds each app's average rating and rating count. ```json { "reviewId": "14265860041", "appId": "310633997", "appName": "WhatsApp Messenger", "appStoreUrl": "https://apps.apple.com/us/app/id310633997", "country": "us", "rating": 1, "title": "Crashes on launch", "text": "Since the last update the app crashes every time I open it on my iPhone 15.", "appVersion": "26.25.77", "updatedAt": "2026-07-05T09:12:00-07:00", "isNewSinceLastRun": true, "firstDetectedAt": "2026-07-06T15:00:00.000Z" } ``` A `SUMMARY` record in the run's key-value store gives the counts per run: reviews scanned, negatives in sample, new negatives, plus each app's overall average rating and rating count. ### Fair use & data - Reads only Apple's **public** customer review feed — no login, no scraping infrastructure, no third-party services. - **No reviewer personal data**: reviewer names and profiles are deliberately never read — you get what was said, not who said it. - Inputs are hard-capped (10 apps, 10 countries, 500 recent reviews per app/country) so runs stay bounded and predictable. ### FAQ **How far back does it see?** The public feed exposes the most recent ~500 reviews per app and country. For a scheduled monitor that's ample — you're watching the fresh ones. **First run floods me with old negatives.** That's the baseline (flagged `isBaseline: true`); disable `includeBaselineInOutput` to start silent. Every later run outputs only genuinely new negatives. **How do I reset the memory?** Set a new `monitorId` — each ID keeps its own baseline. ### Independence notice This is an unofficial tool. It is not affiliated with, endorsed by, or sponsored by Apple Inc. "App Store" and "Apple" are trademarks of Apple Inc. The Actor reads only publicly visible review data through Apple's public RSS feeds and iTunes Search API, and stores no personal data beyond what those endpoints already publish. # Actor input Schema ## `appIds` (type: `array`): App Store apps — paste the full App Store URL or the numeric ID (the digits after /id in the URL). Hard maximum: 10 apps per run. ## `countries` (type: `array`): Two-letter App Store country codes to watch (e.g. us, fr, de). Reviews are per-country on the App Store. ## `maxStars` (type: `integer`): A review with this rating or lower counts as negative. Default 2 (1★ and 2★). ## `maxPagesPerApp` (type: `integer`): How many legacy feed pages to request before falling back to the reviews shown on Apple's public App Store page. Hard maximum: 10. ## `includeBaselineInOutput` (type: `boolean`): The very first run saves a baseline of current negative reviews. When enabled, those are also pushed to the dataset (flagged isBaseline=true). Later runs always output only NEW negative reviews. ## `monitorId` (type: `string`): Optional. Advanced: name this monitor to keep several baselines for the same apps, or reset one by changing the ID. ## Actor input object example ```json { "appIds": [ "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" ], "countries": [ "us" ], "maxStars": 2, "maxPagesPerApp": 2, "includeBaselineInOutput": true } ``` # Actor output Schema ## `results` (type: `string`): Structured result items. # 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": [ "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" ], "countries": [ "us" ] }; // Run the Actor and wait for it to finish const run = await client.actor("davidbenittah/appstore-negative-review-digest").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": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"], "countries": ["us"], } # Run the Actor and wait for it to finish run = client.actor("davidbenittah/appstore-negative-review-digest").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": [ "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" ], "countries": [ "us" ] }' | apify call davidbenittah/appstore-negative-review-digest --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=davidbenittah/appstore-negative-review-digest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Negative Reviews Alert & Monitor", "description": "Watch your iOS apps on a schedule and get only the new negative App Store reviews since the last run, at or below your star threshold. Each alert carries the rating, title, full text, app version, country and store link, read from Apple's public customer review feed.", "version": "1.0", "x-build-id": "H4jKaHfCFaGKX4Sfm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/davidbenittah~appstore-negative-review-digest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-davidbenittah-appstore-negative-review-digest", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/davidbenittah~appstore-negative-review-digest/runs": { "post": { "operationId": "runs-sync-davidbenittah-appstore-negative-review-digest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/davidbenittah~appstore-negative-review-digest/run-sync": { "post": { "operationId": "run-sync-davidbenittah-appstore-negative-review-digest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Apps to watch", "type": "array", "description": "App Store apps — paste the full App Store URL or the numeric ID (the digits after /id in the URL). Hard maximum: 10 apps per run.", "items": { "type": "string" } }, "countries": { "title": "Country stores", "type": "array", "description": "Two-letter App Store country codes to watch (e.g. us, fr, de). Reviews are per-country on the App Store.", "items": { "type": "string" } }, "maxStars": { "title": "Negative threshold (stars)", "minimum": 1, "maximum": 4, "type": "integer", "description": "A review with this rating or lower counts as negative. Default 2 (1★ and 2★).", "default": 2 }, "maxPagesPerApp": { "title": "Recent-review depth", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many legacy feed pages to request before falling back to the reviews shown on Apple's public App Store page. Hard maximum: 10.", "default": 2 }, "includeBaselineInOutput": { "title": "Output the baseline on first run", "type": "boolean", "description": "The very first run saves a baseline of current negative reviews. When enabled, those are also pushed to the dataset (flagged isBaseline=true). Later runs always output only NEW negative reviews.", "default": true }, "monitorId": { "title": "Custom monitor ID", "type": "string", "description": "Optional. Advanced: name this monitor to keep several baselines for the same apps, or reset one by changing the ID." } } }, "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 } } } } } } } } } } ```