# French-Property.com Scraper (`dadhalfdev/french-property-scraper`) Actor

Scrape French property listings from French-Property.com. Use filters (sale/rent, type, location, bedrooms, price) or paste a search URL — the URL wins when set. Returns price, size, bedrooms, location, agency, DPE, and photos.

- **URL**: https://apify.com/dadhalfdev/french-property-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## 🏠 French-Property.com Scraper

Want to pull property listings from [French-Property.com](https://www.french-property.com/) or explore the French buy/rent market for expats and buyers? This scraper makes it easy.

Use **structured filters** — the same choices as on the website (popular areas, regions, departments, property type, bedrooms, prices, features) — **or paste an `input_url`** from your browser. When `input_url` is set, it overrides the filters. Either way, you get price, size, bedrooms, location, agency, DPE, and photos as CSV or JSON.

### 💡 Perfect for...

- **Buyers & Renters:** Monitor houses and apartments by region, department, and budget.
- **Agencies & Investors:** Track inventory and pricing across popular French areas.
- **Market Research:** Compare supply in Dordogne, Brittany, Paris, the Alps, and more.
- **Data Analysts:** Export clean structured rows for dashboards and models.
- **🤖 AI Agents:** Power bots and workflows with filter-based search (no brittle URL crafting).
- **📚 RAG Systems:** Feed listing specs and descriptions into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a French-Property.com search URL (`input_url`) if you already filtered in the browser, or use structured filters (better for AI agents). `input_url` always wins when set.
- 🎯 **Website-matched filters:** Popular locations, regions, departments, property type, bedroom min/max, price ladder, land size, swimming pool / outbuildings, and sort order.
- 📊 **Rich Listings:** Price, habitable & land size, bedrooms/bathrooms, region/department/city, agency, DPE, images, and listing URL.
- 🔁 **Pagination:** Collects listings across result pages until `max_properties` is reached.

### 📦 What's inside the data?

For every listing you get:

- **Core:** `id`, `url`, `reference`, `transaction`, `property_type`, `title`, `description`
- **Pricing & Size:** `price`, `price_label`, `area_m2`, `land_m2`, `bedrooms`, `bathrooms`
- **Location:** `city`, `postal_code`, `department`, `region`, `location_full`
- **Energy:** `dpe_energy`, `dpe_energy_category`, `dpe_ges`, `dpe_ges_category`
- **Agency & Media:** `agency_name`, `image_url`, `images`

### 🚀 Quick start

**Option A — Input URL**

1. Open [French-Property.com](https://www.french-property.com/), apply filters in the browser, copy the results URL.
2. Paste it into `input_url`.
3. Set `max_properties` and click **Start**.

**Option B — Structured filters (better for AI agents)**

1. Leave `input_url` empty.
2. Choose `listing_type`, `property_type`, and a location (`popular_location`, `region`, and/or `department`). Optionally add a `city`.
3. Set bedrooms, price, features if you want, then `max_properties` and click **Start**.

Export JSON, CSV, or Excel when done.

***

#### Input examples

**Filters**

```json
{
  "listing_type": "vente",
  "property_type": "house",
  "department": "dordogne",
  "minimum_bedrooms": "3",
  "price_min": 100000,
  "price_max": 400000,
  "max_properties": 50
}
```

**URL override**

```json
{
  "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house",
  "max_properties": 50
}
```

**Output example**

```json
{
  "id": "1687-192",
  "url": "https://www.french-property.com/sale-property/1687-192",
  "transaction": "vente",
  "price": 249500,
  "area_m2": 123,
  "land_m2": 450,
  "bedrooms": 4,
  "bathrooms": 2,
  "city": "Bouteilles-Saint-Sébastien",
  "department": "Dordogne (24)",
  "region": "Aquitaine",
  "dpe_energy_category": "E",
  "agency_name": "Wright French Properties",
  "image_url": "https://cdn4.french-property.com/..."
}
```

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Optional override. Paste any French-Property.com search URL. When set, **overrides all filters below**. |
| `listing_type` | string enum | No | `vente` | `vente` (for sale) or `location` (for rent). |
| `property_type` | string enum | No | `house` | `All`, `house`, `apartment`, `business`, `land`. |
| `popular_location` | string enum | No | Any | Popular area from the website (34 options). |
| `region` | string enum | No | Any | French region (29 options). |
| `department` | string enum | No | `dordogne` | French department (96 options). |
| `city` | string | No | — | Optional city/town (e.g. `Bergerac`, `Nice`). |
| `postal_code` | string | No | — | Optional postal code. |
| `minimum_bedrooms` / `maximum_bedrooms` | string enum | No | Any / Unlimited | Bedroom bounds (same ladder as the site). |
| `price_min` / `price_max` | string enum | No | No min/max | Price ladder from €50,000 to €5,000,000. |
| `minimum_land_size` / `maximum_land_size` | integer | No | — | Land size bounds. |
| `land_size_unit` | string enum | No | `m²` | `m²`, `acres`, or `hectares`. |
| `swimming_pool` / `outbuildings` | boolean | No | false | Feature filters. |
| `sort_by` | string enum | No | Default | Lowest/highest price, most recent, or most land. |
| `max_properties` | integer | No | `50` | How many listings to return (`1`–`1000`). |

#### Notes

- `input_url` always wins over filters when provided.
- Location selects match the website lists; use `city` when you need a specific town.
- Each run returns at most **`max_properties`** listings.

# Actor input Schema

## `input_url` (type: `string`):

Optional. Paste any French-Property.com search results URL to override the filters below. Leave empty to use structured filters instead (better for AI agents).

## `listing_type` (type: `string`):

Buy (for sale) or rent. Ignored when input\_url is set.

## `property_type` (type: `string`):

Property category. Ignored when input\_url is set.

## `popular_location` (type: `string`):

Popular area from the website (e.g. Dordogne, Lot & Quercy, French Alps). Ignored when input\_url is set.

## `region` (type: `string`):

French region. Ignored when input\_url is set.

## `department` (type: `string`):

French department. Ignored when input\_url is set.

## `city` (type: `string`):

Optional city or town (e.g. Bergerac, Nice, Paris). Combined with department when possible. Ignored when input\_url is set.

## `postal_code` (type: `string`):

Optional postal code (e.g. 24100, 75011). Ignored when input\_url is set.

## `minimum_bedrooms` (type: `string`):

Minimum bedrooms. Ignored when input\_url is set.

## `maximum_bedrooms` (type: `string`):

Maximum bedrooms. Ignored when input\_url is set.

## `price_min` (type: `string`):

Minimum price in euros. Ignored when input\_url is set.

## `price_max` (type: `string`):

Maximum price in euros. Ignored when input\_url is set.

## `minimum_land_size` (type: `integer`):

Optional minimum land size. Unit is set below. Ignored when input\_url is set.

## `maximum_land_size` (type: `integer`):

Optional maximum land size. Unit is set below. Ignored when input\_url is set.

## `land_size_unit` (type: `string`):

Unit for land size filters. Ignored when input\_url is set.

## `swimming_pool` (type: `boolean`):

Only listings with a swimming pool. Ignored when input\_url is set.

## `outbuildings` (type: `boolean`):

Only listings with outbuildings. Ignored when input\_url is set.

## `sort_by` (type: `string`):

Result order. Ignored when input\_url is set.

## `max_properties` (type: `integer`):

How many listings to return (1–1000).

## Actor input object example

```json
{
  "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house",
  "listing_type": "vente",
  "property_type": "house",
  "popular_location": "",
  "region": "",
  "department": "dordogne",
  "minimum_bedrooms": "",
  "maximum_bedrooms": "",
  "price_min": "",
  "price_max": "",
  "land_size_unit": "m²",
  "swimming_pool": false,
  "outbuildings": false,
  "sort_by": "",
  "max_properties": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view using the dataset 'overview' view.

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

All items from the default dataset without view transformation.

# 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 = {
    "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/french-property-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 = { "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house" }

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/french-property-scraper").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 '{
  "input_url": "https://www.french-property.com/properties-for-sale?departments=dordogne&property_types_all=house"
}' |
apify call dadhalfdev/french-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/french-property-scraper"
        }
    }
}

```

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/7zQrgoR8dxSzuRcqL/builds/LHakodFqSyTHwjAcK/openapi.json