# App Release Review Regression Report (`taroyamada/app-release-review-regression-report`) Actor Turn public App Store and Google Play review signals into release regression reports, QA backlog candidates, and prioritized product actions. - **URL**: https://apify.com/taroyamada/app-release-review-regression-report.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 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 Release Review Regression Report ### Buyable first run Use this Actor when mobile product, QA, support, and app growth teams need to decide whether a public app release created review regressions that need QA or product action. It is positioned as a report, not a raw scraper. - Entry report: $9 / release_review_snapshot_report. $9 gives one release review risk snapshot with score, source URLs, and three QA actions. - Premium report: $29 / release_regression_report. $29 adds deeper issue grouping, QA backlog suggestions, and regression triage context. - Public price surface is entry and premium only. High-tier/watch events are held until real paid proof exists. - Safety cap: `maxChargeUsd` is the hard budget limit. - Why it is worth paying for: Replaces the first manual pass of reading recent public app reviews after a release and turning them into QA actions. Recommended first paid run: ```json { "demoMode": false, "dryRun": false, "reportTier": "snapshot", "maxChargeUsd": 9, "maxReports": 1, "appleAppIds": [ "284882215" ], "appleCountries": [ "us" ], "googlePlayIds": [ "com.duolingo" ], "lookbackDays": 30, "reviewLimit": 25 } ```` This Actor does not promise rankings, revenue, conversion lifts, or sales outcomes. It returns source-backed summaries, warnings, and prioritized actions. Find out whether a public app release is creating review regressions that deserve product or QA attention. This Actor turns public App Store and Google Play signals into a short decision report: risk score, repeated issue themes, prioritized actions, and QA backlog candidates. Use it when you need to answer: - Did the latest release trigger new crash, login, subscription, performance, or sync complaints? - Which public review themes should become QA backlog items? - Is there enough evidence to open a release regression triage, or should the team keep watching? ### Pricing This Actor uses pay per event pricing with a safety cap. | Tier | Event | Price | Best for | | --- | --- | ---: | --- | | Snapshot | `release_review_snapshot_report` | $9 | One app release review check with score and three actions | | Regression | `release_regression_report` | $29 | Deeper issue grouping, backlog suggestions, and cross-source triage | A future watch summary tier is designed but hidden until real paid demand is proven. It is not available from the public input schema. Set `maxChargeUsd` to the tier price you want. If the cap is lower than the selected tier, the run returns a no-charge `limit_reached` summary. ### What You Get Each paid report includes: - `decisionSummary` for the release triage call - `score` and `riskLevel` - App coverage across public App Store / Google Play sources - Public review signal summary - Topic spikes such as stability, login, subscription, performance, ads, or sync - 3 to 5 prioritized actions - Source URLs, warnings, confidence, and billing event fields - `previewReport.nextRunInput` so the next run is easy to launch ### First Run ```json { "appleAppIds": ["284882215"], "appleCountries": ["us"], "googlePlayIds": ["com.duolingo"], "reportTier": "snapshot", "maxChargeUsd": 9, "maxReports": 1, "lookbackDays": 30, "reviewLimit": 25, "demoMode": false, "dryRun": false } ``` Upgrade to `"reportTier": "regression"` and `"maxChargeUsd": 29` when you want the deeper QA backlog version. ### Source And Safety Rules Allowed sources are public App Store metadata/review RSS, public iTunes Lookup API, and public Google Play listing pages. This Actor does not use App Store Connect, Apple Search Ads, private dashboards, login-only pages, or paid ASO data. The report does not profile reviewers, extract personal contact details, or claim ranking, revenue, rating, or sales improvements. Treat public-source findings as triage evidence that should be verified by your product, support, or QA team. ### Related Actors - Use `mobile-app-listing-gap-report` when you need App Store / Google Play listing optimization ideas. - Use this Actor when you already shipped or are about to ship and need release risk signals from public reviews. # Actor input Schema ## `appleAppIds` (type: `array`): Public App Store numeric app IDs to check. Uses public iTunes Lookup and public review RSS only. ## `appleCountries` (type: `array`): Storefront country codes such as us, jp, gb. ## `googlePlayIds` (type: `array`): Public Google Play package IDs to include in the app coverage. ## `reportTier` (type: `string`): Snapshot returns a compact release review checklist. Regression adds deeper issue grouping and QA backlog suggestions. ## `releaseVersion` (type: `string`): Optional version label for the release you want to triage. ## `releaseDate` (type: `string`): Optional release date in YYYY-MM-DD format. Used as report context, not as a guarantee that every source exposes release-level review attribution. ## `lookbackDays` (type: `integer`): Recent public review window used for theme and risk scoring. ## `reviewLimit` (type: `integer`): Maximum public review samples per app/source. ## `maxChargeUsd` (type: `number`): Safety cap. If below the selected report tier price, the Actor returns a no-charge limit\_reached summary. ## `maxReports` (type: `integer`): This Actor produces one decision report per run to keep pricing predictable. ## `demoMode` (type: `boolean`): Returns a no-charge example report shape without using public sources. ## `dryRun` (type: `boolean`): No-charge validation path. Does not fetch public sources or create a paid report. ## `sourceDatasetId` (type: `string`): Advanced only. Optional future workflow hook for user-provided app lists. The first-run example does not require it. ## Actor input object example ```json { "appleAppIds": [ "284882215" ], "appleCountries": [ "us" ], "googlePlayIds": [ "com.duolingo" ], "reportTier": "snapshot", "lookbackDays": 30, "reviewLimit": 25, "maxChargeUsd": 9, "maxReports": 1, "demoMode": false, "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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/app-release-review-regression-report").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-report").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-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/app-release-review-regression-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Release Review Regression Report", "description": "Turn public App Store and Google Play review signals into release regression reports, QA backlog candidates, and prioritized product actions.", "version": "0.1", "x-build-id": "OPUwuJDErklhZceia" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~app-release-review-regression-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-app-release-review-regression-report", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~app-release-review-regression-report/runs": { "post": { "operationId": "runs-sync-taroyamada-app-release-review-regression-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~app-release-review-regression-report/run-sync": { "post": { "operationId": "run-sync-taroyamada-app-release-review-regression-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "App Store app IDs", "type": "array", "description": "Public App Store numeric app IDs to check. Uses public iTunes Lookup and public review RSS only.", "default": [ "284882215" ], "items": { "type": "string" } }, "appleCountries": { "title": "App Store countries", "type": "array", "description": "Storefront country codes such as us, jp, gb.", "default": [ "us" ], "items": { "type": "string" } }, "googlePlayIds": { "title": "Google Play package IDs", "type": "array", "description": "Public Google Play package IDs to include in the app coverage.", "default": [ "com.duolingo" ], "items": { "type": "string" } }, "reportTier": { "title": "Report tier", "enum": [ "snapshot", "regression" ], "type": "string", "description": "Snapshot returns a compact release review checklist. Regression adds deeper issue grouping and QA backlog suggestions.", "default": "snapshot" }, "releaseVersion": { "title": "Release version", "type": "string", "description": "Optional version label for the release you want to triage." }, "releaseDate": { "title": "Release date", "type": "string", "description": "Optional release date in YYYY-MM-DD format. Used as report context, not as a guarantee that every source exposes release-level review attribution." }, "lookbackDays": { "title": "Review lookback days", "minimum": 1, "maximum": 180, "type": "integer", "description": "Recent public review window used for theme and risk scoring.", "default": 30 }, "reviewLimit": { "title": "Review sample limit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum public review samples per app/source.", "default": 25 }, "maxChargeUsd": { "title": "Maximum charge USD", "minimum": 0, "type": "number", "description": "Safety cap. If below the selected report tier price, the Actor returns a no-charge limit_reached summary.", "default": 9 }, "maxReports": { "title": "Maximum reports", "minimum": 1, "maximum": 1, "type": "integer", "description": "This Actor produces one decision report per run to keep pricing predictable.", "default": 1 }, "demoMode": { "title": "Demo mode", "type": "boolean", "description": "Returns a no-charge example report shape without using public sources.", "default": false }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "No-charge validation path. Does not fetch public sources or create a paid report.", "default": false }, "sourceDatasetId": { "title": "Advanced source dataset ID", "type": "string", "description": "Advanced only. Optional future workflow hook for user-provided app lists. The first-run example does not require it." } } }, "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 } } } } } } } } } } ```