# BureauxLocaux Scraper — French Commercial Real Estate (`hipersoft/bureauxlocaux-scraper`) Actor

Scrape French commercial property listings from BureauxLocaux: offices, retail units, warehouses, land and coworking for rent or sale. Surface, rent, rent per m², sale price, address, condition, features, agency, description, photos. Export CSV/JSON.

- **URL**: https://apify.com/hipersoft/bureauxlocaux-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00075 / listing

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?

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

## BureauxLocaux Scraper: French Commercial Real Estate (Offices, Retail, Warehouses)

**BureauxLocaux Scraper** extracts listings from **BureauxLocaux.com**, France's leading portal for **immobilier d'entreprise (commercial real estate)**: **offices (bureaux)**, **retail units (locaux commerciaux / commerces)**, **warehouses and logistics (entrepôts)**, **land (terrains)** and **coworking** — **for rent (location) or for sale (vente)** — in **Paris, Lyon, Marseille, Lille, Bordeaux, Toulouse, Nantes** and all of France. For every listing you get the **title, tagline, property type, transaction, full address, postal code, city, total and minimum surface, monthly rent, yearly rent per m², sale price, coworking seat price, leasing right price, condition, construction year, floors, office surface, ceiling height, loading docks, divisibility, features (fibre, sprinkler, truck access, Haussmann building…), agency name, city, logo and phone, description, photos and virtual tour links**. Export to **CSV, Excel or JSON**. Ideal for **commercial real estate agents and brokers, investors, corporate real estate and relocation teams, retail expansion managers and market analysts**.

### What does BureauxLocaux Scraper do?

- 🏢 **Offices, retail, warehouses, land and coworking** across France.
- 🔑 **Rent and sale** listings.
- 📍 **Any city or district**: paste a search link, or filter by postal code prefix.
- 💶 **Rent, rent per m² per year and sale price**.
- 📐 **Surface** (total and divisible minimum), floors, ceiling height, loading docks.
- ✅ **Features**: fibre, sprinkler, truck access, showcase, Haussmann, divisible…
- 🏷️ **Agency** details and **photos / virtual tours**.

### What data can you scrape?

| Field | Description |
|---|---|
| Listing | ID, link, title, tagline, category, transaction, property type |
| Location | Address, street, postal code, city |
| Surface | Total, minimal, office surface |
| Price | Monthly rent, €/m²/year, sale price, seat price, seats, leasing right, price hidden |
| Building | Condition, construction year, floors, ceiling height, loading docks, divisible, features |
| Agency | Name, city, logo, phone |
| Media | Description, photos, virtual tours |

### Use cases for French commercial property data

- **Brokers and agents**: monitor competitor listings and new supply by district.
- **Investors**: analyse rents per m² and asking prices for offices, retail and logistics.
- **Corporate real estate**: shortlist offices by surface, budget and features.
- **Retail expansion**: find available shops on retail streets and in malls.
- **Market research**: track supply and rents across French cities.

### How to scrape BureauxLocaux

1. Click **Try for free** to open BureauxLocaux Scraper in Apify Console.
2. Choose **categories** (e.g. offices for rent) or paste **city/district search links**.
3. Optionally add **postal code prefixes** and **surface** limits.
4. Click **Start** and download the listings as **CSV, Excel or JSON**.

### Input

#### Example input

```json
{
  "categories": ["location-bureaux", "location-commerces"],
  "postalCodes": ["75", "92"],
  "minSurface": 100,
  "maxItems": 500
}
```

| Field | Description |
|---|---|
| **Categories** | location-/vente- bureaux, commerces, entrepots, terrains; location-coworking. |
| **Search links** | City or district pages (override categories). |
| **Postal code prefixes** | e.g. 75, 69, 13008. |
| **Min / max surface** | m². |
| **Max listings** | 0 = no limit. |

### Output

#### Listing example

```json
{
  "listingId": 39445527,
  "url": "https://www.bureauxlocaux.com/annonce/immeuble-de-prestige-avec-services-premium--39445527",
  "title": "Immeuble de prestige avec services premium",
  "category": "location-bureaux",
  "transaction": "rent",
  "propertyType": "office",
  "address": "86 Boulevard Haussmann, 75008 Paris",
  "totalSurfaceM2": 7864,
  "minimalSurfaceM2": 1811,
  "monthlyRent": 181100,
  "yearlyRentPerM2": 1200,
  "divisible": true,
  "features": ["ground floor", "upper floors", "haussmanian", "restructured"],
  "agency": "Cushman & Wakefield Paris",
  "virtualTours": ["https://my.matterport.com/show/?m=…"],
  "currency": "EUR"
}
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `listingId`, `url`, `title`, `tagline`, `category`, `transaction`, `propertyType` | mixed | Listing. |
| `address`, `street`, `postalCode`, `city` | string | Location. |
| `totalSurfaceM2`, `minimalSurfaceM2`, `officeSurfaceM2` | number | Surface. |
| `monthlyRent`, `yearlyRentPerM2`, `salePrice`, `seatPrice`, `seats`, `leasingRightPrice`, `priceHidden`, `currency` | mixed | Price. |
| `condition`, `constructionYear`, `floors`, `ceilingHeight`, `loadingDocks`, `divisible`, `features` | mixed | Building. |
| `agency`, `agencyCity`, `agencyLogo`, `agencyPhone` | string | Agency. |
| `description`, `images`, `virtualTours`, `scrapedAt` | mixed | Media. |

### How much does it cost?

BureauxLocaux Scraper uses **pay-per-listing** pricing: a small fixed price per listing, with automatic discounts on higher Apify plans. See the **Pricing** tab for the exact price.

### More real estate data

- [Ohne-Makler Scraper](https://apify.com/hipersoft/ohne-makler-scraper): German private property listings.
- [ZVG Portal Scraper](https://apify.com/hipersoft/zvg-portal-scraper): German foreclosure auctions.
- [RE/MAX Portugal Scraper](https://apify.com/hipersoft/remax-pt-scraper): Portuguese listings.

### FAQ

**How do I search a specific city?**
Open BureauxLocaux, search your city and category, and paste the result link into "BureauxLocaux search links". Or use postal code prefixes with a national category.

**What is the yearly rent per m²?**
The rent in € per m² per year (HT HC as published), the standard measure for French commercial leases.

**What formats can I export?**
CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

**Can I integrate BureauxLocaux Scraper with other apps?**
BureauxLocaux Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JS/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

**Is it legal to scrape BureauxLocaux?**
The scraper only collects publicly listed commercial property information. You are responsible for using the data in line with the site's terms and applicable law.

### Related Actors

- [Ohne-Makler Scraper](https://apify.com/hipersoft/ohne-makler-scraper)
- [ZVG Portal Scraper](https://apify.com/hipersoft/zvg-portal-scraper)

### Notes

Original clean-room implementation. Returns only public data. Not affiliated with BureauxLocaux.

# Actor input Schema

## `categories` (type: `array`):

Property categories to collect across France.

## `startUrls` (type: `array`):

Optional city or district search links, e.g. https://www.bureauxlocaux.com/immobilier-d-entreprise/annonces/paris-8-75008/location-bureaux (overrides categories).

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

Optional: keep listings whose postal code starts with these, e.g. 75 (Paris), 69 (Rhône), 92, 13008.

## `minSurface` (type: `integer`):

Minimum total surface.

## `maxSurface` (type: `integer`):

Maximum total surface.

## `maxItems` (type: `integer`):

Stop after this many listings (0 = no limit).

## `proxyConfiguration` (type: `object`):

Not needed in most cases.

## Actor input object example

```json
{
  "categories": [
    "location-bureaux"
  ],
  "maxItems": 300,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

The results as dataset items.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/bureauxlocaux-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/bureauxlocaux-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 '{}' |
apify call hipersoft/bureauxlocaux-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/bureauxlocaux-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/wUWTJA3l2TSIY9gx8/builds/1EdiiLeLIwbAULxPY/openapi.json