# Triage reviews for a Luxembourg City restaurant

**Use case:** 

Read recent reviews for Le Bouquet Garni in Luxembourg City, classify urgency and detect new feedback in a dry-run.

## Input

```json
{
  "placeUrls": [],
  "query": "Le Bouquet Garni Luxembourg",
  "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 "Triage reviews for a Luxembourg City restaurant". [Sign up or log in](https://console.apify.com/create-task-from-example/of96XJTwccPVJJ8CB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Triage reviews for a Luxembourg City restaurant" 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 "Triage reviews for a Luxembourg City restaurant" 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 "Triage reviews for a Luxembourg City restaurant" task via API](https://apify.com/travelmonitorlab/review-radar.md).

## FAQ

### Does this task perform a real commercial run?

The published input uses dry-run where supported. It executes the workflow and returns structured observations, but skips Actor event charges. Platform compute and proxy usage can still apply.

### Can I reuse this configuration?

Duplicate the task, review the target and keep the same small limits first. No schedule, webhook or external delivery is enabled by this example.

### Which run proves this example?

Acceptance run btWm6dbFtsVXNfJve finished SUCCEEDED with a non-empty dataset. Its output was reviewed before publication; dry-run event charges were zero where applicable.

## 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`).