# App Review Regression & Release Scraper (`taroyamada/app-release-review-regression-monitor`) Actor Compare public app releases and recent reviews to surface version changes, rating drops, review themes, and regression signals. - **URL**: https://apify.com/taroyamada/app-release-review-regression-monitor.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 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 Regression & Release Scraper Mobile product teams, QA leads, app agencies, and support ops use this actor to turn Public App Store lookup/review endpoints and visible Google Play pages into a clean dataset for App Review / Release Regression Intelligence. Provide focused source inputs, keep the first run small, and expand only after the output shape is useful. Each emitted row includes source context, timestamps, and fields designed for monitoring, QA, research, or workflow handoff. ### Store Quickstart Start with one iOS app ID or one Android package, then add countries and review limits after the first regression row set is useful. Recommended first run: ```json { "appleAppIds": [ "284882215" ], "appleCountries": [ "us" ], "googlePlayIds": [], "reviewLimit": 10, "limit": 25, "delivery": "dataset", "dryRun": false } ```` ### Input examples #### iOS app review sample ```json { "appleAppIds": [ "284882215" ], "appleCountries": [ "us" ], "googlePlayIds": [], "reviewLimit": 10, "limit": 25, "delivery": "dataset", "dryRun": false } ``` #### Google Play app sample ```json { "appleAppIds": [], "appleCountries": [ "us" ], "googlePlayIds": [ "com.duolingo" ], "reviewLimit": 10, "limit": 25, "delivery": "dataset", "dryRun": false } ``` #### Cross-platform regression check ```json { "appleAppIds": [ "284882215" ], "appleCountries": [ "us", "gb" ], "googlePlayIds": [ "com.duolingo" ], "reviewLimit": 20, "limit": 50, "delivery": "dataset", "dryRun": false } ``` ### Sample output ```json { "meta": { "actorName": "app-release-review-regression-monitor", "actorTitle": "App Review Regression & Release Scraper", "bundle": "App Review / Release Regression Intelligence", "fetchedAt": "2026-05-06T00:00:00.000Z", "totalRows": 1 }, "rows": [ { "actorName": "app-release-review-regression-monitor", "rowType": "review_regression_signal", "platform": "ios", "appName": "Example App", "version": "6.1.0", "rating": 2, "regressionHints": [ "crash after update" ], "sourceUrl": "https://apps.apple.com/app/id284882215", "fetchedAt": "2026-05-06T00:00:00.000Z" } ], "warnings": [] } ``` ### Output fields - `rowType` - `platform` - `appId` - `appName` - `version` - `rating` - `reviewText` - `regressionHints` - `sourceUrl` - `fetchedAt` Rows also include source URLs, fetch timestamps, warnings when a source is partial, and stable IDs when the workflow supports recurring change detection. ### Pricing and no-change runs $0.001 actor start and $0.006 per release or review signal row. Empty runs and source warnings should not create default dataset rows. The default dataset is the billable surface. Dry runs, validation-only runs, missing-key warnings, and unchanged recurring polls should not write payable default-dataset rows. ### Compliance guardrails - Uses public store surfaces only. - No store endorsement, private account data, or hidden review access is claimed. - Use output for QA triage and product research. - Do not use provider emblems or wording that implies approval by an upstream data provider. ### See also - [youtube-channel-transcript-rag-intelligence](https://apify.com/taroyamada/youtube-channel-transcript-rag-intelligence) - [g2-review-delta-intelligence](https://apify.com/taroyamada/g2-review-delta-intelligence) # Actor input Schema ## `appleAppIds` (type: `array`): Numeric App Store app IDs to inspect through the public iTunes Lookup API and customer review RSS feed. ## `appleCountries` (type: `array`): App Store country storefront codes such as us, gb, jp. ## `googlePlayIds` (type: `array`): Android package IDs to inspect through public Google Play listing pages. ## `reviewLimit` (type: `integer`): Maximum App Store review samples per app/country. ## `limit` (type: `integer`): Maximum normalized rows returned after deduplication. ## `delivery` (type: `string`): Dataset is default. Webhook posts the payload when dryRun is false. ## `webhookUrl` (type: `string`): Required when delivery is webhook and dryRun is false. ## `dryRun` (type: `boolean`): When true, returns deterministic sample rows and skips external requests, dataset delivery, and webhook delivery. ## Actor input object example ```json { "appleAppIds": [ "284882215" ], "appleCountries": [ "us" ], "googlePlayIds": [ "com.duolingo" ], "reviewLimit": 10, "limit": 50, "delivery": "dataset", "dryRun": 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/app-release-review-regression-monitor").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 = {} # Run the Actor and wait for it to finish run = client.actor("taroyamada/app-release-review-regression-monitor").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 '{}' | apify call taroyamada/app-release-review-regression-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/app-release-review-regression-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Review Regression & Release Scraper", "description": "Compare public app releases and recent reviews to surface version changes, rating drops, review themes, and regression signals.", "version": "0.1", "x-build-id": "vsWVIVNSIPFiNY16d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~app-release-review-regression-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-app-release-review-regression-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~app-release-review-regression-monitor/runs": { "post": { "operationId": "runs-sync-taroyamada-app-release-review-regression-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~app-release-review-regression-monitor/run-sync": { "post": { "operationId": "run-sync-taroyamada-app-release-review-regression-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "appleAppIds": { "title": "Apple App IDs", "type": "array", "description": "Numeric App Store app IDs to inspect through the public iTunes Lookup API and customer review RSS feed.", "default": [ "284882215" ], "items": { "type": "string" } }, "appleCountries": { "title": "Apple Countries", "type": "array", "description": "App Store country storefront codes such as us, gb, jp.", "default": [ "us" ], "items": { "type": "string" } }, "googlePlayIds": { "title": "Google Play Package IDs", "type": "array", "description": "Android package IDs to inspect through public Google Play listing pages.", "default": [ "com.duolingo" ], "items": { "type": "string" } }, "reviewLimit": { "title": "Review Limit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum App Store review samples per app/country.", "default": 10 }, "limit": { "title": "Output Row Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum normalized rows returned after deduplication.", "default": 50 }, "delivery": { "title": "Delivery Mode", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Dataset is default. Webhook posts the payload when dryRun is false.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Required when delivery is webhook and dryRun is false." }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "When true, returns deterministic sample rows and skips external requests, dataset delivery, and webhook delivery.", "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 } } } } } } } } } } ```