# France Property Risk Scraper: Flood, Seismic, Radon, ICPE (`dltik/georisques-fr-scraper`) Actor

Bulk risk report for any French address. Get flood zone, seismic zone (1-5), radon (1-3), clay shrink-swell, nearby ICPE/Seveso, polluted soils, cavities, ground movements and the GASPAR catalog. Official Georisques (BRGM) open data. For real-estate diligence, notaires, insurers. $0.005/address.

- **URL**: https://apify.com/dltik/georisques-fr-scraper.md
- **Developed by:** [dltik](https://apify.com/dltik) (community)
- **Categories:** Real estate, Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 address scrapeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## France Property Risk Scraper — Flood, Seismic, Radon, ICPE (Géorisques API)

> Turn a list of **French addresses** into a full **natural + industrial risk dataset**. For each address this scraper geocodes to GPS + INSEE, then pulls **flood zone, seismic zone (1-5), radon potential (1-3), clay shrink-swell (retrait-gonflement des argiles), nearby ICPE / Seveso sites, polluted soils (CASIAS), underground cavities, ground movements, the full GASPAR risk catalog and the CatNat disaster history**. Built on the **official Géorisques (BRGM / Ministère) open data**. **HTTP-only, $0.005 per address**.

⭐ **Bookmark this France Property Risk Scraper** — Apify ranks actors by bookmarks, so it directly helps the visibility of this scraper on the Apify Store.

### What is the France Property Risk Scraper?

The **France Property Risk Scraper** is an Apify actor that builds a per-address risk report from the [official Géorisques API](https://www.georisques.gouv.fr/), the French government's authoritative natural- and technological-risk service run by BRGM for the Ministère de la Transition écologique. Feed it a list of free-text French addresses (or INSEE commune codes) and it returns one structured row per address with every regulated risk a buyer, notaire, insurer or lender needs for due diligence.

It is the same data behind the mandatory **ERRIAL / État des Risques** form attached to every French property sale or lease — now scriptable, exportable and queryable in bulk. No authentication, no API key, no rate limits to fight: the Géorisques and Base Adresse Nationale APIs are free public open data.

This scraper attaches directly to the French real-estate data family: pair it with DVF transactions, multi-source property listings and ADEME DPE diagnostics to enrich any address with price, energy and risk in one pipeline.

### Which risks does it return?

For every address the scraper aggregates ten official sources:

- **Flood** — flood-zone flag derived from the GASPAR catalog plus the Atlas des Zones Inondables (AZI) programmes covering the commune.
- **Seismic zone** — the regulatory zonage sismique class from 1 (very low) to 5 (strong).
- **Radon potential** — commune radon class 1 to 3 (3 = significant potential).
- **Clay shrink-swell (RGA)** — retrait-gonflement des argiles exposure, the leading cause of crack damage to French houses.
- **ICPE industrial sites** — count and sample of classified installations nearby, with Seveso status.
- **Polluted / former-industrial soils** — count and sample of CASIAS / sites pollués within the radius.
- **Underground cavities** — count of recorded cavités souterraines (quarries, sinkholes).
- **Ground movements** — count of recorded mouvements de terrain (landslides, subsidence).
- **GASPAR risk catalog** — the full list of declared natural and technological risks for the commune.
- **CatNat history** — number of natural-disaster declarations (arrêtés de catastrophe naturelle) on record.

### Use cases

- **Real-estate due diligence** — pre-screen a portfolio of addresses before purchase or lending; flag passoires de risque the same way DPE flags passoires thermiques.
- **Notaires & ERRIAL automation** — auto-generate the risk inputs of the État des Risques for every sale file.
- **Insurance underwriting** — score flood, clay and CatNat exposure across a book of properties for pricing.
- **Marchands de biens / promoteurs** — rule out ICPE, polluted-soil and cavity hazards before a deal.
- **Proptech & CRM enrichment** — add a risk layer to any address-keyed database, alongside price and energy data.

### Input

```json
{
  "addresses": [
    "8 boulevard du Port, 80000 Amiens",
    "1 place de la Comédie, 34000 Montpellier"
  ],
  "radius_m": 500,
  "maxResults": 50
}
````

You can pass `insee_codes` (e.g. `["80021", "75056"]`) instead of `addresses` for commune-wide lookups. `radius_m` controls the search radius for nearby-site risks (ICPE, polluted soils, cavities, ground movements).

### Output

```json
{
  "type": "risk_profile",
  "resolved_address": "8 Boulevard du Port 80000 Amiens",
  "latitude": 49.897442,
  "longitude": 2.290084,
  "code_insee": "80021",
  "code_postal": "80000",
  "commune": "Amiens",
  "flood_zone": true,
  "flood_atlas_count": 3,
  "seismic_zone_code": "1",
  "seismic_zone_label": "1 - TRES FAIBLE",
  "radon_class": "1",
  "clay_risk_code": "0",
  "clay_risk_label": "Aucune ou faible",
  "icpe_count": 62,
  "polluted_sites_count": 294,
  "cavities_count": 8,
  "ground_movement_count": 3,
  "catnat_count": 14,
  "gaspar_risk_count": 8,
  "gaspar_risks": ["Inondation", "Risque industriel", "Transport de marchandises dangereuses"]
}
```

### Pricing

**PAY\_PER\_EVENT — $0.005 per address analyzed** (= $5 per 1,000 addresses). Each successfully geocoded and analyzed address is one charge. Addresses that cannot be geocoded are returned as a `not_found` record and are not charged.

### FAQ — France property risk data

**Where does the data come from?** The official Géorisques API (BRGM / Ministère de la Transition écologique) for risks, and the Base Adresse Nationale (api-adresse.data.gouv.fr) plus geo.api.gouv.fr for geocoding. All free public open data.

**Is this the same as the ERRIAL / État des Risques?** It uses the same underlying Géorisques sources that feed the regulatory État des Risques form, returned as structured data for bulk use. Always confirm the official ERRIAL for a binding legal document.

**Can I run it on thousands of addresses?** Yes — set `maxResults` and pass a long `addresses` list. The actor throttles politely and returns one row per address.

**Do I need a proxy or API key?** No. The Géorisques API has no anti-bot and no key requirement.

***

⭐ **Found this useful? Bookmark this France Property Risk Scraper** — it's the strongest signal for Apify Store ranking.

#### Related actors

- [ADEME DPE Scraper](https://apify.com/dltik/ademe-dpe-scraper) — 25M+ French energy performance diagnostics (DPE class A-G)
- [DVF France — Real Estate Transactions](https://apify.com/dltik/dvf-france-transactions) — French property sale prices since 2014
- [Pige Immo FR — Multi-source listings](https://apify.com/dltik/pige-immo-fr-scraper) — Leboncoin + SeLoger + PAP + Bien'ici aggregated

License: MIT · Author: [dltik](https://apify.com/dltik)

# Actor input Schema

## `addresses` (type: `array`):

List of free-text French addresses to analyze. Each is geocoded to lat/lon + INSEE then checked for risks. Example: '8 boulevard du Port, 80000 Amiens'.

## `insee_codes` (type: `array`):

Alternative to addresses: list of 5-char INSEE commune codes (e.g. '80021' Amiens, '75056' Paris). Resolved to the commune centroid. Use this for commune-wide risk lookups.

## `radius_m` (type: `integer`):

Radius in meters for nearby-site risks (ICPE industrial sites, polluted soils, cavities, ground movements). Default 500. Larger = more sites = slower.

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

Max number of addresses/INSEE codes to analyze. Aliases accepted: 'limit', 'max'. Each analyzed address is charged at the per-event price - start small to validate output.

## `proxyConfig` (type: `object`):

Optional. The Georisques open API has no anti-bot, so proxy is rarely needed.

## Actor input object example

```json
{
  "addresses": [
    "8 boulevard du Port, 80000 Amiens"
  ],
  "insee_codes": [],
  "radius_m": 500,
  "maxResults": 50,
  "proxyConfig": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Per-address risk records.

# 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 = {
    "addresses": [
        "8 boulevard du Port, 80000 Amiens"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dltik/georisques-fr-scraper").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 = { "addresses": ["8 boulevard du Port, 80000 Amiens"] }

# Run the Actor and wait for it to finish
run = client.actor("dltik/georisques-fr-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "addresses": [
    "8 boulevard du Port, 80000 Amiens"
  ]
}' |
apify call dltik/georisques-fr-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dltik/georisques-fr-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "France Property Risk Scraper: Flood, Seismic, Radon, ICPE",
        "description": "Bulk risk report for any French address. Get flood zone, seismic zone (1-5), radon (1-3), clay shrink-swell, nearby ICPE/Seveso, polluted soils, cavities, ground movements and the GASPAR catalog. Official Georisques (BRGM) open data. For real-estate diligence, notaires, insurers. $0.005/address.",
        "version": "1.0",
        "x-build-id": "o9zheKzkZcCXwRxHM"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/dltik~georisques-fr-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-dltik-georisques-fr-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/dltik~georisques-fr-scraper/runs": {
            "post": {
                "operationId": "runs-sync-dltik-georisques-fr-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/dltik~georisques-fr-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-dltik-georisques-fr-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "addresses": {
                        "title": "Addresses",
                        "type": "array",
                        "description": "List of free-text French addresses to analyze. Each is geocoded to lat/lon + INSEE then checked for risks. Example: '8 boulevard du Port, 80000 Amiens'.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "insee_codes": {
                        "title": "INSEE codes",
                        "type": "array",
                        "description": "Alternative to addresses: list of 5-char INSEE commune codes (e.g. '80021' Amiens, '75056' Paris). Resolved to the commune centroid. Use this for commune-wide risk lookups.",
                        "items": {
                            "type": "string"
                        },
                        "default": []
                    },
                    "radius_m": {
                        "title": "Search radius (meters)",
                        "minimum": 100,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Radius in meters for nearby-site risks (ICPE industrial sites, polluted soils, cavities, ground movements). Default 500. Larger = more sites = slower.",
                        "default": 500
                    },
                    "maxResults": {
                        "title": "Max addresses",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Max number of addresses/INSEE codes to analyze. Aliases accepted: 'limit', 'max'. Each analyzed address is charged at the per-event price - start small to validate output.",
                        "default": 50
                    },
                    "proxyConfig": {
                        "title": "Proxy (rarely needed)",
                        "type": "object",
                        "description": "Optional. The Georisques open API has no anti-bot, so proxy is rarely needed.",
                        "default": {
                            "useApifyProxy": false
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```