App Review Regression & Release Report

Paid first-run JSON ≈ Try Input: 1 app + 1 review sample ≈ USD 0.0005/row. From USD 0.0005/row. Paste an app ID and Start. Keep the first run bounded; this does not change the Actor's Store pricing. Open Try for free → Input and run this JSON.

{
  "appleAppIds": [
    "284882215"
  ],
  "appleCountries": [
    "us"
  ],
  "googlePlayIds": [],
  "reviewLimit": 1,
  "limit": 1,
  "delivery": "dataset",
  "webhookUrl": "",
  "dryRun": false,
  "__name": "app-release-review-regression-monitor"
}

Store Quickstart

Run the bounded paid first-run JSON above first; keep report/export options off unless needed.

{
  "appleAppIds": [
    "284882215"
  ],
  "appleCountries": [
    "us"
  ],
  "googlePlayIds": [],
  "reviewLimit": 1,
  "limit": 1,
  "delivery": "dataset",
  "webhookUrl": "",
  "dryRun": false,
  "__name": "app-release-review-regression-monitor"
}

Use with Apify MCP

Exact actor: taroyamada/app-release-review-regression-monitor

Product, mobile QA, and ASO teams use this Actor to detect review regressions after an app release. Input Apple App IDs or Google Play package IDs, storefronts, thresholds, and a recurring monitor key. Get source-linked regression alerts and app-level reports; raw review samples are optional.

Sample input JSON:

{
  "appleAppIds": [
    "284882215"
  ],
  "appleCountries": [
    "us"
  ],
  "googlePlayIds": [
    "com.duolingo"
  ],
  "reviewLimit": 10,
  "limit": 50,
  "delivery": "dataset",
  "webhookUrl": ""
}

{
  "appleAppIds": ["284882215"],
  "appleCountries": ["us"],
  "googlePlayIds": [],
  "reviewLimit": 30,
  "lookbackDays": 120,
  "releaseWindowDays": 21,
  "runMode": "audit",
  "emitRawReviews": false,
  "generateReport": true,
  "maxChargeUsd": 3,
  "dryRun": false
}

Input examples

Current Apple release report

{
  "appleAppIds": ["284882215"],
  "appleCountries": ["us", "gb"],
  "runMode": "audit",
  "emitRawReviews": false,
  "generateReport": true,
  "dryRun": false
}

Apple and Google Play comparison

{
  "appleAppIds": ["284882215"],
  "googlePlayIds": ["com.facebook.katana"],
  "appleCountries": ["us"],
  "reviewLimit": 50,
  "ratingRegressionThreshold": 0.35,
  "negativeShareThresholdPct": 35,
  "runMode": "audit",
  "generateReport": true,
  "dryRun": false
}

Recurring no-change-safe monitor

{
  "appleAppIds": ["284882215"],
  "appleCountries": ["us"],
  "runMode": "monitor",
  "monitorKey": "facebook-ios-us-release-watch",
  "initialRunMode": "baseline_only",
  "emitRawReviews": false,
  "generateReport": true,
  "dryRun": false
}

The first baseline_only monitor run stores a private baseline and emits no rows. An unchanged later run also emits zero rows and zero charges.

Sample output

{
  "rowType": "app_release_review_report",
  "billingEventName": "app-regression-report",
  "productKey": "app-store:us:284882215",
  "productName": "Sample App",
  "status": "urgent",
  "summary": "A likely post-release review regression was detected.",
  "reviewsAnalyzed": 30,
  "releaseRegression": {
    "status": "urgent",
    "regressionPlatforms": ["appStore"]
  },
  "recommendedActions": ["Inspect crash complaints introduced after the latest release."],
  "sourceUrl": "https://apps.apple.com/us/app/id284882215"
}

Pricing

Event	Price	Emitted when
app-review-row	$0.0005	Optional raw review sample is requested and delivered
app-regression-alert	$0.10	Threshold logic identifies a release-linked regression
app-regression-report	$2.00	A current or changed app report is generated

Use emitRawReviews: false for report-first runs. maxChargeUsd provides an Actor-side budget in addition to Apify spending limits.

Output fields

Every row carries billingEventName, stableKey, sourceUrl, retrievedAt, source limitations, and prohibited interpretations. Report rows add current release metadata, review-sample aggregates, regression status, and recommended investigation steps.

Compliance and limitations

• Uses public App Store and Google Play storefront metadata and review samples; no login or cookie is required.
• Do not identify, target, or profile individual reviewers, and do not generate or manipulate reviews.
• Automated classifications are sample-based product signals, not a guarantee or professional advice.
• Google Play coverage is best effort and can be smaller than Apple public review RSS coverage.