# App Review Monitor - Google Play & App Store (LLM-ready) (`radevicb/app-review-monitor`) Actor

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

- **URL**: https://apify.com/radevicb/app-review-monitor.md
- **Developed by:** [Boris Radevic](https://apify.com/radevicb) (community)
- **Categories:** Developer tools, AI, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 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

```json
{
    "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)

```json
{
    "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.

# Actor input Schema

## `apps` (type: `array`):

List of apps to fetch reviews for. Each item: {"store": "google"|"apple", "appId": "com.example.app" (Google package name) or "310633997" (Apple numeric id), "country": "us"}.

## `maxReviewsPerApp` (type: `integer`):

Newest-first cap per app. Apple RSS serves at most ~500 recent reviews per country.

## `includeAuthor` (type: `boolean`):

OFF by default: reviewer names are replaced with a stable anonymous hash (GDPR-friendly). Turn on only if you have a lawful basis to process reviewer names.

## Actor input object example

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

# Actor output Schema

## `reviews` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "apps": [
        {
            "store": "google",
            "appId": "com.whatsapp",
            "country": "us"
        },
        {
            "store": "apple",
            "appId": "310633997",
            "country": "us"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("radevicb/app-review-monitor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "apps": [
        {
            "store": "google",
            "appId": "com.whatsapp",
            "country": "us",
        },
        {
            "store": "apple",
            "appId": "310633997",
            "country": "us",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("radevicb/app-review-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "apps": [
    {
      "store": "google",
      "appId": "com.whatsapp",
      "country": "us"
    },
    {
      "store": "apple",
      "appId": "310633997",
      "country": "us"
    }
  ]
}' |
apify call radevicb/app-review-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,radevicb/app-review-monitor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OpPFJ8DN54gTtlKJv/builds/EnzaVHUYo9df0BAaH/openapi.json