Pricing

Pay per usage

App Review Monitor - Google Play & App Store (LLM-ready)

Pull reviews from Google Play and the Apple App Store in one unified, LLM-ready schema. Reviewer names are anonymized by default (GDPR-friendly).

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Boris Radevic

Actor stats

Bookmarked

Total users

Monthly active users

5 hours ago

Last modified

App Review Monitor — Google Play & App Store reviews in one schema

Pull app reviews from both major app stores with a single actor, in one unified, LLM-ready JSON schema. Built for indie developers, ASO consultants, and product teams who need review data without juggling two scrapers and two output formats.

Why this actor

One schema, both stores.
```
store, appId, country, reviewId, date, rating, title, text, appVersion, author
```
— identical fields whether the review came from Google Play or the App Store. Pipe it straight into your LLM, spreadsheet, or dashboard.
Privacy by default. Reviewer names are replaced with a stable anonymous hash unless you explicitly opt in — GDPR-friendly out of the box.
Honest failures. Apps that can't be fetched are reported in the run summary; a run where everything failed fails loudly instead of pretending success.

Input

{
    "apps": [
        { "store": "google", "appId": "com.whatsapp", "country": "us" },
        { "store": "apple", "appId": "310633997", "country": "us" }
    ],
    "maxReviewsPerApp": 100,
    "includeAuthor": false
}

Google appId is the package name (com.example.app); Apple appId is the numeric id from the App Store URL.
Reviews are returned newest-first. Note: Apple's public feed serves at most ~500 recent reviews per app per country.

Output (dataset items)

{
    "store": "apple",
    "appId": "310633997",
    "country": "us",
    "reviewId": "12345678901",
    "date": "2026-08-20T14:03:11.000Z",
    "rating": 2,
    "title": "Latest update broke uploads",
    "text": "Since the last version ...",
    "appVersion": "26.16.81",
    "author": "reviewer_a1b2c3d4e5f6"
}

Typical uses

Feed fresh reviews of your (or a competitor's) app into an LLM for theme/sentiment digests.
Track review velocity and rating shifts after each release.
Export both stores' feedback into one sheet for support triage.

Transparency: this actor is built and maintained with AI assistance, by a human-owned account. It collects only publicly available review data and anonymizes reviewer names by default. Part of the rdvc toolset.

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