Leboncoin.fr Scraper

Turn any leboncoin.fr search into a structured dataset — across every category. Paste a search URL (real estate, cars, jobs, goods, services — anything) and get every matching ad as a clean row: title, price, full description, location with real GPS coordinates, seller type, all images, and every category-specific attribute flattened inline (rooms, surface, energy rating, mileage, brand, etc.). The site's anti-bot access is handled for you — no captcha keys, no proxy juggling. JSON or CSV out, billed per result.

How it works

✨ Why use this scraper?

Tracking the French classifieds market? Building real-estate or used-car price datasets? Monitoring new listings in a city or category? leboncoin is France's largest marketplace — and this actor turns any of its searches into structured data without you touching its anti-bot.

• 🔗 One input: a search URL. Set your filters on leboncoin in the browser — category, location, price range, keyword, condition — then copy the URL. The actor translates every filter into the search API automatically.
• 🗂️ Every category works. Real estate, vehicles, jobs, holiday rentals, fashion, electronics, services — the same actor handles all of them. Category-specific fields come through as a flattened attributes object.
• 🛡️ Anti-bot handled for you. leboncoin is protected by an aggressive anti-bot layer; this actor clears it transparently and reuses the access token down the pages. You configure nothing — no captcha key, no special proxy setup.
• 📍 Real GPS coordinates. Each ad carries location.lat / location.lng plus city, zip, district, department and region — not just a place name.
• 🖼️ All images + full description. Every photo URL and the complete ad body, not a truncated preview.
• 📤 Clean exports. One row per ad, JSON + CSV exported automatically. The dataset row count equals the ad count exactly — no padding rows.

🎯 Use cases

Team	What they build
Real-estate analysts	Price-per-m² datasets by city/district, new-listing alerts, inventory tracking
Used-car dealers / marketplaces	Pricing comps by make/model/mileage, arbitrage spotting
Recruiters	Feeds of new job ads by region and sector
Market researchers	Supply, pricing and seller-type trends across any category in France
Resellers / arbitrage	Underpriced-listing discovery in electronics, fashion, collectibles
Data teams	A clean, structured mirror of any leboncoin search for downstream pipelines

📥 Supported inputs

Pass one or more leboncoin search URLs in startUrls. The easiest workflow:

1. Open leboncoin.fr and apply any filters you want (category, location, price, keyword…).
2. Copy the URL from your browser's address bar — it will look like https://www.leboncoin.fr/recherche?category=9&locations=Rennes&price=....
3. Paste it into startUrls. Mix several different searches in one run.

URL pattern	Behaviour
https://www.leboncoin.fr/recherche?category=9&real_estate_type=2	All apartment sales (real estate)
https://www.leboncoin.fr/recherche?category=2&...	Cars, with your filters (brand, price, mileage…)
https://www.leboncoin.fr/recherche?text=macbook&...	Keyword search across a category
https://www.leboncoin.fr/recherche?category=9&locations=Paris_75000__...	Any category restricted to a location

Not supported: single-ad detail URLs as a starting point (the search already returns full ad data per row), and hosts other than leboncoin.fr.

⚙️ Input parameters

Parameter	Type	Default	Description
startUrls	array	["https://www.leboncoin.fr/recherche?category=9&real_estate_type=2"]	leboncoin /recherche?... search URLs. Filters in the query string are translated to the search API. Mix several searches freely.
maxItems	integer	1000	Hard cap on ads collected per search URL. Big searches return hundreds of thousands of results — use this to control run size and cost.
maxConcurrency	integer	3	How many search URLs to process in parallel. Pages within one search are sequential (the access token is reused down the pages).
proxy	object	Apify Residential, FR	leboncoin is geo-aware; French residential proxies are strongly recommended (the default).

📊 Output overview

Each scraped ad is one dataset row of rowType: "ad". Common fields (title, price, location, seller, images, dates) are promoted to the top level; everything category-specific is flattened into the attributes object (with the untouched raw array kept in attributesRaw). The dataset row count equals the ad count exactly.

📦 Output sample

One row per ad (description trimmed here for readability):

{
  "rowType": "ad",
  "adId": "3201756535",
  "title": "Magnifique appartement cœur de ville",
  "description": "✨ Superbe appartement – Cœur de ville – 131,85 m² carrez ✨ Idéalement situé en plein cœur de Rennes…",
  "price": 568000,
  "priceCents": 56800000,
  "currency": "EUR",
  "url": "https://www.leboncoin.fr/ad/ventes_immobilieres/3201756535",
  "categoryId": "9",
  "categoryName": "Ventes immobilières",
  "adType": "offer",
  "status": "active",
  "firstPublishedAt": "2026-05-20 15:37:40",
  "indexedAt": "2026-06-10 15:37:40",
  "expiresAt": "2026-07-19 15:37:40",
  "seller": {
    "type": "private",
    "name": "Bihanlili22",
    "storeId": "28949902",
    "userId": "1e9e77c6-2d7e-4300-95b7-7655539a486a",
    "sector": null
  },
  "location": {
    "city": "Rennes",
    "zipcode": "35000",
    "district": "Centre",
    "department": "Ille-et-Vilaine",
    "region": "Bretagne",
    "country": "FR",
    "lat": 48.11487,
    "lng": -1.67941
  },
  "images": {
    "count": 11,
    "thumb": "https://img.leboncoin.fr/api/v1/lbcpb1/images/50/f5/44/...jpg?rule=ad-thumb",
    "urls": ["https://img.leboncoin.fr/.../...jpg?rule=ad-image", "..."]
  },
  "attributes": {
    "type_real_estate_sale": "Ancien",
    "real_estate_type": "Appartement",
    "square": "130 m²",
    "rooms": "6",
    "bedrooms": "4 ch.",
    "nb_bathrooms": "1",
    "energy_rate": "C",
    "ges": "D"
  },
  "attributesRaw": [ "...the full raw attribute array, untouched..." ],
  "hasPhone": true,
  "isBoosted": false,
  "options": { "has_option": true, "gallery": true, "highlight": true, "urgent": false, "sub_toplist": false },
  "favorites": null,
  "scrapedAt": "2026-06-10T13:39:17.254Z"
}

🗂 Key output fields

Group	Fields
Identifiers	rowType, adId, url, scrapedAt
Listing	title, description (full text), adType (offer / demand), status
Price	price (number), priceCents, currency
Category	categoryId, categoryName
Dates	firstPublishedAt, indexedAt, expiresAt
Seller	seller.{type (private / pro), name, storeId, userId, sector}
Location	location.{city, zipcode, district, department, region, country, lat, lng}
Images	images.{count, thumb, urls[]}
Attributes	attributes (flattened key→value for the category: rooms, square, energy_rate, mileage, brand, condition…), attributesRaw (the original array, with labels)
Promotion	isBoosted (seller paid for extra visibility), options (boost flags: urgent, gallery, highlight, sub_toplist…), favorites (popularity count, when leboncoin exposes it)
Misc	hasPhone (whether a phone number is offered on the ad)

The exact keys inside attributes depend on the category — a real-estate ad carries rooms / square / energy_rate, a car ad carries brand / mileage / fuel, and so on. Whatever leboncoin shows on the ad, you get.

❓ FAQ

Do I need a captcha-solver or special proxy? No. The actor handles leboncoin's anti-bot access layer itself and ships with a sensible French-residential proxy default. You just paste a search URL.

How do I scrape a specific category, city, or price range? Set the filters on leboncoin.fr in your browser, then copy the URL — every filter (category, locations, price, text, condition, etc.) is carried through to the search API. No need to learn the API yourself.

Why is there a cap on very large searches? leboncoin itself caps how deep you can paginate a single search. For searches with hundreds of thousands of results, split by location or add filters to stay under the cap and get complete coverage of each slice.

Can I scrape private data or contact details? No. The actor reads only the public search results. It does not log in, does not reveal hidden phone numbers, and collects no private user data — hasPhone is simply leboncoin's public flag for whether a phone number is offered.

One row per ad — no duplicates? Correct. Ads are de-duplicated by their adId within a run, so the dataset row count matches the unique ad count.

💬 Support

• For issues or feature requests, please use the Issues tab on the actor's Apify Console page.
• Author's website: https://muhamed-didovic.github.io/
• Email: muhamed.didovic@gmail.com

🛠 Additional services

• Custom output shape, extra fields, or one-off datasets: muhamed.didovic@gmail.com
• Need detail-page enrichment, scheduled monitoring, or another French marketplace scraped? Drop an email.
• For API access (no Apify fee, just a usage fee for the API): muhamed.didovic@gmail.com

🔎 Explore more scrapers

If this Leboncoin Scraper was useful, see other scrapers and actors at memo23's Apify profile — covering real estate, classifieds, job boards, social media, and more.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by leboncoin, Adevinta, or any of their subsidiaries or affiliates. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available search-result data on leboncoin.fr — no authenticated endpoints, no logged-in content, and no private user data. Users are responsible for ensuring their use complies with leboncoin.fr's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organisation.

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