# Estimate a French flat's value range from DVF comparables

**Use case:** 

Give an address and a surface: get a low / mid / high value range computed from DVF sales of similar size (±30%) nearby, plus the median price per m².

## Input

```json
{
  "addresses": [
    {
      "address": "12 rue Sainte-Catherine, 33000 Bordeaux",
      "propertyType": "Appartement",
      "surface": 55,
      "label": "bordeaux-55m2"
    },
    {
      "address": "1 place Bellecour, 69002 Lyon",
      "propertyType": "Appartement",
      "surface": 70,
      "label": "lyon-70m2"
    }
  ],
  "propertyTypes": [
    "Appartement",
    "Maison"
  ],
  "radiusMeters": 500,
  "minComparables": 10,
  "maxRadiusMeters": 2000,
  "yearsBack": 3,
  "surfaceTolerancePct": 30,
  "includeVefa": false,
  "includeComparables": false,
  "maxComparables": 10,
  "minGeocodeScore": 0.5
}
```

## Output

```json
{
  "label": {
    "label": "Label",
    "format": "string"
  },
  "input": {
    "label": "Input",
    "format": "string"
  },
  "geocodedLabel": {
    "label": "Matched address",
    "format": "string"
  },
  "communeName": {
    "label": "Commune",
    "format": "string"
  },
  "apartmentMedianPricePerM2": {
    "label": "Flat median €/m²",
    "format": "integer"
  },
  "apartmentSales": {
    "label": "Flat sales",
    "format": "integer"
  },
  "apartment.p25PricePerM2": {
    "label": "Flat P25 €/m²",
    "format": "number"
  },
  "apartment.p75PricePerM2": {
    "label": "Flat P75 €/m²",
    "format": "number"
  },
  "apartment.trendFirstToLastYearPct": {
    "label": "Flat trend %",
    "format": "number"
  },
  "houseMedianPricePerM2": {
    "label": "House median €/m²",
    "format": "integer"
  },
  "houseSales": {
    "label": "House sales",
    "format": "integer"
  },
  "apartment.estimate.mid": {
    "label": "Flat estimate €",
    "format": "number"
  },
  "radiusMetersUsed": {
    "label": "Radius m",
    "format": "integer"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The France Price per m² by Address – Batch DVF Comps Actor is ready to run with the inputs already set for "Estimate a French flat's value range from DVF comparables". [Sign up or log in](https://console.apify.com/create-task-from-example/k6dZNyQud71YMStcG) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Estimate a French flat's value range from DVF comparables" task

The France Price per m² by Address – Batch DVF Comps Actor will start running based on the input automatically. You can also change all the input fields, like addresses, property types, and more, to match your specific use case.

### 3. Receive the "Estimate a French flat's value range from DVF comparables" 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 label, input, matched address, 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 "Estimate a French flat's value range from DVF comparables" task via API](https://apify.com/characteristic_division/dvf-price-per-m2-batch.md).

## FAQ

### How is the range computed?

From sales within ±30% of your surface near the address (adaptive radius up to 2 km). confidence reflects the number of sales.

### Can I add houses?

Yes. Set propertyType to Maison for that address.

## About this Actor

This example demonstrates how to use [France Price per m² by Address – Batch DVF Comps](https://apify.com/characteristic_division/dvf-price-per-m2-batch.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/characteristic_division/dvf-price-per-m2-batch.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/characteristic_division/dvf-price-per-m2-batch.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`).