# Monitor Google reviews for a Luxembourg business

**Use case:** 

Collect recent Google Maps reviews for one Luxembourg business, classify urgency and identify new reviews with persistent state. Starts in dry-run mode so you can inspect the JSON safely.

## Input

```json
{
  "placeUrls": [],
  "query": "restaurant Esch-sur-Alzette",
  "maxPlaces": 1,
  "maxReviewsPerPlace": 5,
  "alertThreshold": 3,
  "dryRun": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "place": {
    "label": "Business",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "date": {
    "label": "Review date",
    "format": "string"
  },
  "urgency": {
    "label": "Urgency",
    "format": "string"
  },
  "urgencyConfidence": {
    "label": "Urgency confidence",
    "format": "number"
  },
  "isNew": {
    "label": "New review",
    "format": "boolean"
  },
  "alerted": {
    "label": "Slack alert sent",
    "format": "boolean"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Maps Review Alerts to Slack — new reviews only Actor is ready to run with the inputs already set for "Monitor Google reviews for a Luxembourg business". [Sign up or log in](https://console.apify.com/create-task-from-example/2QG7oGb1cLmamfPG5) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Monitor Google reviews for a Luxembourg business" task

The Google Maps Review Alerts to Slack — new reviews only Actor will start running based on the input automatically. You can also change all the input fields, like place urls, search query (alternative), and more, to match your specific use case.

### 3. Receive the "Monitor Google reviews for a Luxembourg business" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as business, author, rating, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Monitor Google reviews for a Luxembourg business" task via API](https://apify.com/travelmonitorlab/review-radar.md).

## FAQ

### What does this review monitoring task return?

This task returns public review text, author, rating, relative date, urgency, confidence, new-review status and the business Maps URL.

### Does this task send Slack alerts?

The prefilled dry-run does not send Slack alerts. Add your authorized Slack connector and disable dryRun in your duplicated task to enable delivery.

### Can an AI agent run this task?

An AI agent can duplicate the task through Apify, adapt the query and run Review Radar through the API or MCP server.

## About this Actor

This example demonstrates how to use [Google Maps Review Alerts to Slack — new reviews only](https://apify.com/travelmonitorlab/review-radar.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/travelmonitorlab/review-radar.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/travelmonitorlab/review-radar.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).