# ðŸĪ– AI App Review Monitor (`taroyamada/app-review-cross-platform-intelligence`) Actor Monitor Google Play and App Store pages to extract reviews, utilizing AI to cluster themes and schedule daily data runs for cross-platform sentiment tracking. - **URL**: https://apify.com/taroyamada/app-review-cross-platform-intelligence.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** AI, Marketing, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 Intelligence API | App Store + Google Play Summary Monitor one app across the App Store and Google Play, cluster review themes, flag rating drift, and return recommended actions in a single summary row. ### Store Quickstart - Start with `store-input.example.json` for the lowest-friction first run. - Then use `store-input.templates.json` to choose a lane: - `Starter: Cross-Platform Baseline` for the default summary-first run - `App Store Only Baseline` if you only have the Apple app ID ready - `Google Play Only Baseline` if you want a Play-first baseline before adding Apple - `Webhook Summary` when the row should feed Slack, Zapier, or an internal monitor ### Key Features - 📈 **Competitive intelligence** — Aggregates cross-platform signals (reviews, listings, catalogs) - 🌐 **Multi-source aggregation** — Unifies iOS/Android/Shopify/market data in one run - 📊 **Trend detection** — Rolling averages, sentiment scoring, and share-of-voice metrics - ðŸŽŊ **Targeted queries** — Focused brand/product/keyword watchlists - ðŸ“Ą **Webhook intel push** — Deliver insights to marketing/product teams in real-time ### Use Cases | Who | Why | |-----|-----| | Developers | Automate recurring data fetches without building custom scrapers | | Data teams | Pipe structured output into analytics warehouses | | Ops teams | Monitor changes via webhook alerts | | Product managers | Track competitor/market signals without engineering time | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | productName | string | prefilled | Optional label for the monitored product. If empty, the actor uses the best store title it finds. | | country | string | `"us"` | Default ISO country code for both stores. App Store lookups and review feeds use lowercase values like us, gb, jp. | | language | string | `"en_US"` | Google Play language code for the public page request, for example en_US. | | appleApp | object | prefilled | Optional App Store target. Provide {"appId":"570060128"} or {"url":"https://apps.apple.com/us/app/id570060128"}. | | googlePlayApp | object | prefilled | Optional Google Play target. Provide {"appId":"com.duolingo"} or a full play.google.com URL. | | reviewLimitPerPlatform | integer | `20` | Maximum reviews to analyze per platform. Google Play usually exposes about 20 public review cards without deeper paginat | | lookbackDays | integer | `180` | Prefer reviews inside this window. If a source has no matches inside the window, the actor falls back to the public samp | | minThemeMentions | integer | `2` | Minimum complaint mentions before a theme is treated as a real cluster instead of one-off noise. | #### Input Example ```json { "productName": "Duolingo", "country": "us", "language": "en_US", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" }, "reviewLimitPerPlatform": 20, "lookbackDays": 180, "minThemeMentions": 2, "delivery": "dataset", "dryRun": false } ```` ### Output | Field | Type | Description | |-------|------|-------------| | `meta` | object | | | `results` | array | | | `results[].productKey` | string | | | `results[].productName` | string | | | `results[].storesCovered` | array | | | `results[].status` | string | | | `results[].summary` | string | | | `results[].recommendedCadence` | string | | | `results[].reviewsAnalyzed` | number | | | `results[].reviewCoverage` | object | | | `results[].ratingDrift` | object | | | `results[].recommendedActions` | array | | | `results[].topThemes` | array | | | `results[].praiseThemes` | array | | | `results[].recurringComplaints` | array | | | `results[].platforms` | object | | #### Output Example ```json { "meta": { "generatedAt": "2026-04-04T09:30:00.000Z", "warnings": [ "Google Play public HTML exposed 4 review cards in the fixture sample; deeper pagination is intentionally disabled to keep maintenance low." ], "sourceFailures": [], "totals": { "products": 1, "platformsRequested": 2, "platformsSucceeded": 2, "platformsFailed": 0, "reviewsAnalyzed": 7, "recurringComplaints": 2, "complaintThemes": 4 }, "executiveSummary": { "overallStatus": "urgent", "brief": "Duolingo is showing a softer public review sample than its long-term store ratings, with monetization and stability complaints persisting across platforms.", "recommendedCadence": "daily", "reviewedPlatforms": 2, "totalReviewsAnalyzed": 7, "recurringComplaintCount": 2, "topComplaintThemes": [ { "id": "monetization", "label": "Pricing, ads & paywall", "complaintMentions": 2, "platforms": [ "appStore", "googlePlay" ] }, { "id": "stability", "label": "Crashes, freezes & lost progress", "complaintMentions": 2, "platforms": [ "appStore", "googlePlay" ``` ### API Usage Run this actor programmatically using the Apify API. Replace `YOUR_API_TOKEN` with your token from [Apify Console → Settings → Integrations](https://console.apify.com/account/integrations). #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/taroyamada~app-review-cross-platform-intelligence/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "productName": "Duolingo", "country": "us", "language": "en_US", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" }, "reviewLimitPerPlatform": 20, "lookbackDays": 180, "minThemeMentions": 2, "delivery": "dataset", "dryRun": false }' ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("taroyamada/app-review-cross-platform-intelligence").call(run_input={ "productName": "Duolingo", "country": "us", "language": "en_US", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" }, "reviewLimitPerPlatform": 20, "lookbackDays": 180, "minThemeMentions": 2, "delivery": "dataset", "dryRun": false }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('taroyamada/app-review-cross-platform-intelligence').call({ "productName": "Duolingo", "country": "us", "language": "en_US", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" }, "reviewLimitPerPlatform": 20, "lookbackDays": 180, "minThemeMentions": 2, "delivery": "dataset", "dryRun": false }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Tips & Limitations - Run weekly for trend tracking; daily for competitive launch monitoring. - Use webhook delivery to push insights into your BI tools or marketing Slack. - Archive results in Apify Dataset for your own historical trend analysis. - Combine with `ai-visibility-monitor-actor` for AI-era brand surface coverage. - Start with a small watchlist, iterate on keyword precision before scaling. ### FAQ **What platforms are covered?** Varies by actor — see each actor's input schema for the full source list. Most cover 3–8 major platforms per vertical. **How is data deduplicated across sources?** The actor normalizes entity identifiers (brand name, SKU) before aggregation — cross-source duplicates are merged. **Can I whitelabel the output?** Dataset rows are raw data — build your own presentation layer to whitelabel. **Is the sentiment scoring accurate?** Sentiment uses rule-based + keyword scoring tuned for English. For non-English content, treat scores as directional rather than absolute. **Can I share the dashboard output?** Export from Dataset API into your BI tool (Looker, Metabase, Tableau) for stakeholder-facing dashboards. ### Related Actors Market Intelligence cluster — explore related Apify tools: - [AI Brand Visibility Monitor API | Google + Reddit Tracker](https://apify.com/taroyamada/ai-visibility-monitor-actor) — See whether your AI brand is appearing, climbing, or disappearing in Google and Reddit prompts, then get rank deltas, competitor overlap, and weekly action items. - [Shopify Store Intelligence API | Catalog + Merch Signals](https://apify.com/taroyamada/shopify-store-intelligence) — Analyze public Shopify storefront endpoints for store metadata, collections, product samples, and vendor/tag rollups. - [TED, SAM.gov & Grants Monitor | Bid Alerts & Award Watch](https://apify.com/taroyamada/procurement-intel-actor) — Public-sector tender monitoring for teams that need TED, SAM. - [Clinical Trials Monitor | Condition & Recruitment Watch](https://apify.com/taroyamada/clinical-trials-pipeline-monitor) — Monitor ClinicalTrials. ### Cost **Pay Per Event**: - `actor-start`: $0.01 (flat fee per run) - `dataset-item`: $0.003 per output item **Example**: 1,000 items = $0.01 + (1,000 × $0.003) = **$3.01** No subscription required — you only pay for what you use. # Actor input Schema ## `productName` (type: `string`): Optional label for the monitored product. If empty, the actor uses the best store title it finds. ## `country` (type: `string`): Default ISO country code for both stores. App Store lookups and review feeds use lowercase values like us, gb, jp. ## `language` (type: `string`): Google Play language code for the public page request, for example en\_US. ## `appleApp` (type: `object`): Optional App Store target. Provide {"appId":"570060128"} or {"url":"https://apps.apple.com/us/app/id570060128"}. ## `googlePlayApp` (type: `object`): Optional Google Play target. Provide {"appId":"com.duolingo"} or a full play.google.com URL. ## `reviewLimitPerPlatform` (type: `integer`): Maximum reviews to analyze per platform. Google Play usually exposes about 20 public review cards without deeper pagination; App Store can return more from RSS pages. ## `lookbackDays` (type: `integer`): Prefer reviews inside this window. If a source has no matches inside the window, the actor falls back to the public sample and flags the fallback in warnings. ## `minThemeMentions` (type: `integer`): Minimum complaint mentions before a theme is treated as a real cluster instead of one-off noise. ## `delivery` (type: `string`): Dataset is the default. Webhook still writes the local output file and dataset row, then posts the summary payload to the webhook URL. ## `webhookUrl` (type: `string`): Webhook URL to receive the summary payload when delivery is webhook. ## `snapshotKey` (type: `string`): Optional override for the monitoring snapshot key. Leave empty to derive it from the configured app IDs and locale. ## `nowIso` (type: `string`): Optional ISO timestamp override for deterministic tests or backfills. ## `dryRun` (type: `boolean`): If true, the actor skips dataset delivery, webhook delivery, and snapshot writes. Local output is still written. ## Actor input object example ```json { "productName": "Duolingo", "country": "us", "language": "en_US", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" }, "reviewLimitPerPlatform": 20, "lookbackDays": 180, "minThemeMentions": 2, "delivery": "dataset", "dryRun": false } ``` # 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 = { "productName": "Duolingo", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" } }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/app-review-cross-platform-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 = { "productName": "Duolingo", "appleApp": { "appId": "570060128", "country": "us", }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US", }, } # Run the Actor and wait for it to finish run = client.actor("taroyamada/app-review-cross-platform-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 '{ "productName": "Duolingo", "appleApp": { "appId": "570060128", "country": "us" }, "googlePlayApp": { "appId": "com.duolingo", "country": "us", "language": "en_US" } }' | apify call taroyamada/app-review-cross-platform-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/app-review-cross-platform-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ðŸĪ– AI App Review Monitor", "description": "Monitor Google Play and App Store pages to extract reviews, utilizing AI to cluster themes and schedule daily data runs for cross-platform sentiment tracking.", "version": "0.1", "x-build-id": "ttA3jZmP4RsPWgBoM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~app-review-cross-platform-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-app-review-cross-platform-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~app-review-cross-platform-intelligence/runs": { "post": { "operationId": "runs-sync-taroyamada-app-review-cross-platform-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~app-review-cross-platform-intelligence/run-sync": { "post": { "operationId": "run-sync-taroyamada-app-review-cross-platform-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "productName": { "title": "Product Name", "type": "string", "description": "Optional label for the monitored product. If empty, the actor uses the best store title it finds." }, "country": { "title": "Default Country Code", "type": "string", "description": "Default ISO country code for both stores. App Store lookups and review feeds use lowercase values like us, gb, jp.", "default": "us" }, "language": { "title": "Google Play Language", "type": "string", "description": "Google Play language code for the public page request, for example en_US.", "default": "en_US" }, "appleApp": { "title": "App Store App", "type": "object", "description": "Optional App Store target. Provide {\"appId\":\"570060128\"} or {\"url\":\"https://apps.apple.com/us/app/id570060128\"}." }, "googlePlayApp": { "title": "Google Play App", "type": "object", "description": "Optional Google Play target. Provide {\"appId\":\"com.duolingo\"} or a full play.google.com URL." }, "reviewLimitPerPlatform": { "title": "Review Sample Limit Per Platform", "minimum": 5, "maximum": 100, "type": "integer", "description": "Maximum reviews to analyze per platform. Google Play usually exposes about 20 public review cards without deeper pagination; App Store can return more from RSS pages.", "default": 20 }, "lookbackDays": { "title": "Lookback Window (Days)", "minimum": 7, "maximum": 365, "type": "integer", "description": "Prefer reviews inside this window. If a source has no matches inside the window, the actor falls back to the public sample and flags the fallback in warnings.", "default": 180 }, "minThemeMentions": { "title": "Minimum Theme Mentions", "minimum": 1, "maximum": 10, "type": "integer", "description": "Minimum complaint mentions before a theme is treated as a real cluster instead of one-off noise.", "default": 2 }, "delivery": { "title": "Delivery Mode", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Dataset is the default. Webhook still writes the local output file and dataset row, then posts the summary payload to the webhook URL.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Webhook URL to receive the summary payload when delivery is webhook." }, "snapshotKey": { "title": "Snapshot Key", "type": "string", "description": "Optional override for the monitoring snapshot key. Leave empty to derive it from the configured app IDs and locale." }, "nowIso": { "title": "Debug Timestamp Override", "type": "string", "description": "Optional ISO timestamp override for deterministic tests or backfills." }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "If true, the actor skips dataset delivery, webhook delivery, and snapshot writes. Local output is still written.", "default": false } } }, "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 } } } } } } } } } } ```