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App Review Regression & Release Scraper

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App Review Regression & Release Scraper

App Review Regression & Release Scraper

Compare public app releases and recent reviews to surface version changes, rating drops, review themes, and regression signals.

Pricing

from $6.00 / 1,000 results

Rating

0.0

(0)

Developer

太郎 山田

太郎 山田

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

5 days ago

Last modified

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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:

{
"appleAppIds": [
"284882215"
],
"appleCountries": [
"us"
],
"googlePlayIds": [],
"reviewLimit": 10,
"limit": 25,
"delivery": "dataset",
"dryRun": false
}

Input examples

iOS app review sample

{
"appleAppIds": [
"284882215"
],
"appleCountries": [
"us"
],
"googlePlayIds": [],
"reviewLimit": 10,
"limit": 25,
"delivery": "dataset",
"dryRun": false
}

Google Play app sample

{
"appleAppIds": [],
"appleCountries": [
"us"
],
"googlePlayIds": [
"com.duolingo"
],
"reviewLimit": 10,
"limit": 25,
"delivery": "dataset",
"dryRun": false
}

Cross-platform regression check

{
"appleAppIds": [
"284882215"
],
"appleCountries": [
"us",
"gb"
],
"googlePlayIds": [
"com.duolingo"
],
"reviewLimit": 20,
"limit": 50,
"delivery": "dataset",
"dryRun": false
}

Sample output

{
"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