# Esch-sur-Alzette property price stats (atHome)

**Use case:** 

Aggregated property price statistics from atHome.lu listings for town Esch-sur-Alzette, sale and rent: level, date, site, region, sale / rent, bedrooms. Reads up to 300 listings from public list pages only; no personal data. About $1.50 per 1,000 listings analysed, pay per result.

## Input

```json
{
  "maxListings": 300,
  "transaction": "both",
  "region": "Esch-sur-Alzette"
}
```

## Output

```json
{
  "level": {
    "label": "Level",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "source": {
    "label": "Site",
    "format": "string"
  },
  "region": {
    "label": "Region",
    "format": "string"
  },
  "transaction": {
    "label": "Sale / rent",
    "format": "string"
  },
  "rooms": {
    "label": "Bedrooms",
    "format": "string"
  },
  "listings": {
    "label": "Listings",
    "format": "integer"
  },
  "median_asking_price": {
    "label": "Median asking price",
    "format": "string"
  },
  "median_price_per_m2": {
    "label": "Median price per m²",
    "format": "string"
  },
  "median_size_m2": {
    "label": "Median size m²",
    "format": "string"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  }
}
```

## How it works

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

The Luxembourg Property Price Stats – atHome prices by town Actor is ready to run with the inputs already set for "Esch-sur-Alzette property price stats (atHome)". [Sign up or log in](https://console.apify.com/create-task-from-example/WSIGasY4uldMafYld) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Esch-sur-Alzette property price stats (atHome)" task

The Luxembourg Property Price Stats – atHome prices by town Actor will start running based on the input automatically. You can also change all the input fields, like listings to read (max), sale or rent, and more, to match your specific use case.

### 3. Receive the "Esch-sur-Alzette property price stats (atHome)" 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 level, date, site, 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 "Esch-sur-Alzette property price stats (atHome)" task via API](https://apify.com/listingworks/luxembourg-property-price-stats.md).

## About this Actor

This example demonstrates how to use [Luxembourg Property Price Stats – atHome prices by town](https://apify.com/listingworks/luxembourg-property-price-stats.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/listingworks/luxembourg-property-price-stats.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/listingworks/luxembourg-property-price-stats.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`).