# French Energy Diagnostics - Passoires Thermiques (DPE) (`mcmh_data/french-energy-diagnostics-dpe`) Actor

Find French homes rated DPE F or G (passoires thermiques) by postal code or department, newest first. Official ADEME data, 15M+ diagnostics. Leads for RGE renovation companies, real estate agents and landlords.

- **URL**: https://apify.com/mcmh\_data/french-energy-diagnostics-dpe.md
- **Developed by:** [Michael HOSPITAL](https://apify.com/mcmh_data) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 energy diagnostic returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## French Energy Diagnostics - Passoires Thermiques (DPE)

Find French homes with a poor energy rating (DPE F or G) from the official ADEME diagnostic database (15M+ records, updated daily). These are the "passoires thermiques": under the loi Climat, renting them out is being progressively banned (class G since 2025, class F from 2028, class E from 2034). Their owners face a legal deadline to renovate or lose the right to rent.

Recherche des passoires thermiques (DPE F et G) par code postal ou département, à partir de la base officielle de l'ADEME. Les diagnostics les plus récents sortent en premier.

### Who this is for

- **Renovation companies (RGE-certified):** a prospect list of addresses that legally need insulation, heating or window work.
- **Real estate agents:** flag properties whose rental value is at risk, and owners likely to sell.
- **Landlords, property managers, energy advisers:** audit a street, a building or a whole area.

### Input

| Field | Description |
|---|---|
| `dpeClasses` | Energy classes to include. Default F and G. |
| `postalCodes` | Postal codes, for example 69001. |
| `departments` | Department codes, for example 69, 75, 2A. |
| `dateFrom`, `dateTo` | Diagnostic date range (YYYY-MM-DD). |
| `maxResults` | Hard limit on items returned (and charged). |

Example: class G homes in Rhône diagnosed in 2026:

```json
{
  "dpeClasses": ["G"],
  "departments": ["69"],
  "dateFrom": "2026-01-01",
  "maxResults": 1000
}
```

### Output

```json
{
  "dpeId": "2669E0029954Y",
  "address": "27bis Passage Mermet 69001 Lyon",
  "postalCode": "69001",
  "city": "Lyon",
  "inseeCode": "69381",
  "latitude": 45.770148,
  "longitude": 4.834009,
  "dpeClass": "F",
  "gesClass": "C",
  "buildingType": "appartement",
  "livingArea": 39.7,
  "assessmentDate": "2026-01-07",
  "validUntil": "2036-01-06",
  "energyConsumptionPerM2": 396,
  "annualEnergyCost": 1751.6
}
```

Results are sorted by diagnostic date, newest first: the freshest diagnostics are the owners most likely to act now.

### Pricing

Pay per result (`dpe-result`). You only pay for items returned. Nothing is charged for an empty search.

### Source and limits

- ADEME open data (data.ademe.fr), dataset "DPE Logements existants (depuis juillet 2021)", Licence Ouverte.
- Diagnostics are entered by certified diagnosticians and published as is by ADEME.
- The database contains addresses, not owner names or contact details. This Actor does not add personal data.

# Actor input Schema

## `dpeClasses` (type: `array`):

Energy rating letters to include. Default F and G (the classes being banned from rental under the loi Climat).

## `postalCodes` (type: `array`):

Examples: 69001, 75015.

## `departments` (type: `array`):

Examples: 69, 75, 33, 2A. Leave postal codes and departments empty for nationwide results.

## `dateFrom` (type: `string`):

Earliest diagnostic date. Default: 2021-07-01 (start of the current DPE method).

## `dateTo` (type: `string`):

Latest diagnostic date. Default: today.

## `maxResults` (type: `integer`):

Hard limit on returned items. You are only charged for items returned.

## Actor input object example

```json
{
  "dpeClasses": [
    "F",
    "G"
  ],
  "postalCodes": [
    "69001"
  ],
  "maxResults": 50
}
```

# Actor output Schema

## `results` (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 = {
    "postalCodes": [
        "69001"
    ],
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("mcmh_data/french-energy-diagnostics-dpe").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 = {
    "postalCodes": ["69001"],
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("mcmh_data/french-energy-diagnostics-dpe").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 '{
  "postalCodes": [
    "69001"
  ],
  "maxResults": 50
}' |
apify call mcmh_data/french-energy-diagnostics-dpe --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mcmh_data/french-energy-diagnostics-dpe"
        }
    }
}
```

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/5UhFdfXLEgVKD0BAS/builds/DZ5NIHD7jyidhSeYO/openapi.json