BureauxLocaux Scraper

hipersoft/bureauxlocaux-scraper

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.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per listing

$0.0015

Last rebuilt

Oct 26, 2026

Overview

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

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

Input

Example input

{
  "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

{
  "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.

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RE/MAX Portugal 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. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use 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.

Notes

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

Input

Field	Type	Description
`categories` Categories	array	Property categories to collect across France. Default: `["location-bureaux"]`
`startUrls` BureauxLocaux search links	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` Postal code prefixes	array	Optional: keep listings whose postal code starts with these, e.g. 75 (Paris), 69 (Rhône), 92, 13008.
`minSurface` Minimum surface (m²)	integer	Minimum total surface.
`maxSurface` Maximum surface (m²)	integer	Maximum total surface.
`maxItems` Max listings	integer	Stop after this many listings (0 = no limit). Default: `300`
`proxyConfiguration` Proxy configuration	object	Not needed in most cases. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~bureauxlocaux-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/bureauxlocaux-scraper").call(run_input={})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/bureauxlocaux-scraper').call({});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Listing One commercial property listing	$0.0015	$0.0008

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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