Pricing

from $1.00 / 1,000 results

Leboncoin Real Estate Scraper

Scrape leboncoin.fr real estate listings with full filters: city, price, surface, rooms, DPE. Returns 40+ fields per ad — GPS, images, seller info, energy class. No proxy setup needed, works out of the box.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Alexandre Manguis

Actor stats

Bookmarked

Total users

Monthly active users

1 days

Issues response

8 days ago

Last modified

Input

Proxies are already provided — no proxy setup needed.

Parameter	Type	Required	Default	Description
`keywords`	string	—	`maison`	Search keywords: `maison`, `appartement`, `villa`, `T3`, etc.
`city`	string	—	France	City or postcode: `Paris 15`, `75015`, `Lyon 3`, `Bordeaux`
`radius`	integer	—	`10000`	Search radius in metres around the city (500–100000)
`priceMin`	integer	—	—	Minimum price (€)
`priceMax`	integer	—	—	Maximum price (€)
`surfaceMin`	integer	—	—	Minimum surface (m²)
`surfaceMax`	integer	—	—	Maximum surface (m²)
`roomsMin`	integer	—	—	Minimum number of rooms
`maxAds`	integer	—	`100`	Maximum ads to collect (1–5000)
`delay`	float	—	`2.0`	Seconds between page requests (0.5–30)

Example Input

{
  "keywords": "maison",
  "city": "Paris 15",
  "priceMax": 900000,
  "surfaceMin": 80,
  "roomsMin": 4,
  "maxAds": 100,
  "delay": 2.0
}

Output

Each item in the dataset represents one ad. Fields:

Field	Type	Description
`id`	integer	Leboncoin listing ID
`url`	string	Direct URL to the ad
`title`	string	Ad title
`description`	string	Full ad description
`price_eur`	integer	Price in euros
`price_per_sqm`	integer	Price per m² (when available)
`notary_fees_est`	integer	Estimated notary fees (€)
`total_project_est`	integer	Total project cost estimate (€)
`property_type`	string	`maison`, `appartement`, `terrain`, etc.
`surface_m2`	integer	Living area (m²)
`land_surface_m2`	integer	Land area (m²)
`rooms`	integer	Number of rooms
`bedrooms`	integer	Number of bedrooms
`bathrooms`	integer	Number of bathrooms
`floors`	integer	Number of floors
`building_year`	integer	Construction year
`condition`	string	Property condition
`heating_mode`	string	Heating type
`energy_class`	string	DPE energy class (A–G)
`ges_class`	string	GES class (A–G)
`energy_budget_min`	integer	Min estimated annual energy cost (€)
`energy_budget_max`	integer	Max estimated annual energy cost (€)
`location`	object	City, zipcode, department, region, lat/lng
`seller`	object	Name, type (private/pro), user_id, has_phone
`images`	object	count, thumbnail URL, all photo URLs
`published_at`	string	First publication date (ISO 8601)
`updated_at`	string	Last update date (ISO 8601)
`is_boosted`	boolean	Ad is boosted/promoted
`is_urgent`	boolean	Ad marked as urgent
`rank`	integer	Position in results (1 = first)

Example Output Item

{
  "id": 2453786102,
  "url": "https://www.leboncoin.fr/ventes_immobilieres/2453786102.htm",
  "title": "Maison 5 pièces 120 m²",
  "price_eur": 680000,
  "price_per_sqm": 5666,
  "property_type": "Maison",
  "surface_m2": 120,
  "land_surface_m2": 280,
  "rooms": 5,
  "bedrooms": 3,
  "energy_class": "C",
  "ges_class": "B",
  "energy_budget_min": 890,
  "energy_budget_max": 1260,
  "location": {
    "city": "Paris 15e Arrondissement",
    "zipcode": "75015",
    "department": "Paris",
    "department_id": "75",
    "region": "Île-de-France",
    "lat": 48.8411,
    "lng": 2.2956
  },
  "seller": {
    "name": "Agence Exemple",
    "type": "pro",
    "has_phone": true
  },
  "images": {
    "count": 8,
    "thumbnail": "https://img.leboncoin.fr/api/...",
    "all_urls": ["https://img.leboncoin.fr/api/..."]
  },
  "published_at": "2026-02-28T09:14:00+0100",
  "is_boosted": false,
  "rank": 1
}

Proxy

Proxies are already included — nothing to configure.

Technical Notes

Pagination: follows leboncoin's ?page=N parameter, up to max_pages returned by the API
Data source: extracts __NEXT_DATA__ JSON embedded in page HTML — no extra requests per ad
Rate limiting: configurable delay between pages (default 2s)
Deduplication: ads are deduplicated by list_id across pages
City resolver: uses api-adresse.data.gouv.fr to convert city names/postcodes to leboncoin location format

Supported Cities

Any French city or postcode. Examples:

Paris, Paris 15, Paris 15ème, 75015
Lyon, Lyon 3, 69003
Marseille, Marseille 8, 13008
Bordeaux, 33000
Toulouse, Nantes, Nice, Strasbourg, Montpellier…

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