Advanced Leboncoin scraper avatar
Advanced Leboncoin scraper

Pricing

$50.00/month + usage

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Advanced Leboncoin scraper

Advanced Leboncoin scraper

Leboncoin scraper. Collect product from any search website leboncoin.fr Advanced Web crawler for ecommerce leboncoin. Extract phonenumber from detail pages. For market research, price monitoring, competitive analysis, business intelligence. Efficient data extraction and reduced runtime costs.

Pricing

$50.00/month + usage

Rating

5.0

(2)

Developer

SASWAVE

SASWAVE

Maintained by Community

Actor stats

12

Bookmarked

401

Total users

20

Monthly active users

4.2 hours

Issues response

5 days ago

Last modified

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🛠️ Leboncoin Scraper – Web Scraper for French Classifieds

Leboncoin Scraper is a powerful web scraping tool that extracts product and listing details from leboncoin.fr, including phone numbers, prices, locations, and images. Ideal for ecommerce analytics, real estate data extraction, and market research.

🔹 Features

  • Collect detailed product and listing information from Leboncoin.fr

  • Extract phone numbers directly from listing pages

  • Supports ecommerce and real estate listings

  • Advanced crawler handles pagination and multiple listings efficiently

  • Output data is ready for analytics, databases, or CSV export

How to extract cookies from your browser

Screenshot cookies extraction

  • install EditThisCookie chrome extension
  • login to your account and go to your leboncoin home page
  • Use the extension and click "export"
  • Paste the cookies in the input "cookies" from the actor

The apify documentation has a tutorial on how to do it with screenshots, https://docs.apify.com/tutorials/log-in-by-transferring-cookies#export-your-cookies go to the export your cookies section

Ouput example

Output object

{
"list_id": 2968756440,
"first_publication_date": "2025-04-08 10:53:00",
"index_date": "2025-04-24 08:43:25",
"status": "active",
"category_id": "9",
"category_name": "Ventes immobilières",
"phone": "02996*****",
"original_phone": "",
"subject": "Appartement 4 pièces 73 m²",
"body": "Appartement 4 pièces 73 m²\n\nLE CABINET LOUIS-PORCHERET vous propose en exclusivité\n\nRare sur le marché, découvrez ce superbe appartement de 4 pièces, une combinaison unique de deux appartements réunis, offrant un espace de vie généreux de 73,18 m² au coeur du quartier animé de la rue de Belleville.\n\nLaissez-vous séduire par son double séjour lumineux, baigné de lumière grâce à une multitude de fenêtres, créant une atmosphère aérée et agréable. Idéal pour recevoir vos invités ou profiter de moments de détente, cet espace spacieux et modulable s'adapte à toutes vos envies.\n\nLa cuisine séparée vous invite à laisser libre cours à vos talents culinaires, tandis que les deux chambres confortables vous offrent un véritable cocon de tranquillité. \nLa salle de bains et le WC séparé complètent cet ensemble parfaitement agencé, avec de nombreux rangements astucieux.\n\nL'emplacement de cet appartement est tout simplement exceptionnel : à seulement quelques pas du métro, vous bénéficiez d'une accessibilité idéale aux transports en commun, commerces, restaurants et services de proximité.\n\nDe plus, cet appartement dispose de 2 caves, offrant des espaces de stockage supplémentaires, un atout majeur dans un quartier recherché comme celui-ci.\n\nVéritable coup de coeur, cet appartement réunit charme, confort et praticité dans un cadre de vie privilégié. \n\nNe manquez pas cette opportunité rare ! Contactez nous dès maintenant pour organiser votre visite et découvrir tout le potentiel de cet appartement d'exception. Alexandre FRISE (EI) Agent Commercial - Numéro RSAC : - .\n\nSurface : 73 m²\nPrix du bien : 525000 €\nHonoraires à la charge du vendeur\n\nA propos de la copropriété :\nPas de procédure en cours\nStatut provisoire du syndicat : Pas de procédure en cours\nNombre de lots : 80\nCharges prévisionnelles annuelles : 2673 €\nDate de réalisation du diagnostic énergétique : 17/02/2025\n\nConsommation énergie primaire : 274 kWh/m²/an\nConsommation énergie finale : Non communiqué\n\nLes informations sur les risques auxquels ce bien est exposé sont disponibles sur le site Géorisques : www.georisques.gouv.fr",
"brand": "leboncoin",
"ad_type": "offer",
"url": "https://www.leboncoin.fr/ad/ventes_immobilieres/2968756440",
"price": [
525000
],
"price_cents": 52500000,
"owner": {
"store_id": "81846902",
"user_id": "84bfe040-8b72-4ab0-adec-cdfdb52ce96f",
"type": "pro",
"name": "CABINET LOUIS PORCHERET",
"siren": "562035840",
"pro_rates_link": "https://media.immo-facile.com/segments/immo/catalog/images/manufacturers_bareme/21578.pdf",
"no_salesmen": false,
"activity_sector": "2"
},
"options": {
"has_option": true,
"booster": false,
"photosup": false,
"urgent": false,
"gallery": true,
"sub_toplist": false,
"continuous_top_ads": true,
"highlight": false
},
"has_phone": true,
"attributes_listing": [
{
"key": "specificities",
"value": "cellar",
"key_label": "Caractéristiques",
"value_label": "Cave",
"value_label_reader": "Cave",
"generic": false
}
],
"similar": null,
"counters": {
"favorites": 16
},
"attributes": {
"activity_sector": "2",
"external_ad_id": "ac3_430419_57984669",
"real_estate_type": "2",
"square": "73",
"rooms": "4",
"bedrooms": "2",
"nb_bathrooms": "1",
"energy_rate": "e",
"ges": "e",
"specificities": "",
"heating_type": "individual",
"heating_mode": "gas",
"floor_number": "1",
"nb_floors_building": "6",
"floor_property": "",
"elevator": "2",
"building_year": "1900",
"fees_at_the_expanse_of": "seller",
"annual_charges": "2673",
"pro_rates_link": "https://media.immo-facile.com/segments/immo/catalog/images/manufacturers_bareme/21578.pdf",
"district_id": "3000229",
"district_visibility": "true",
"district_type_id": "9",
"district_resolution_type": "integration",
"mandate_type": "exclusive",
"has_visibility_option": "true",
"store_logo": "https://img.leboncoin.fr/api/v1/lbcpb1/images/c8/90/9b/c8909b56-acc1-4ac2-b2ea-714082932532?rule=bo-thumb",
"store_name": "Cabinet LOUIS-PORCHERET Montreuil - Transactions",
"online_store_id": "6959857",
"price_per_square_meter": "7192",
"custom_ref": "6605",
"immo_sell_type": "old",
"is_import": "true",
"lease_type": "sell"
},
"country_id": "FR",
"region_id": "12",
"region_name": "Ile-de-France",
"department_id": "75",
"department_name": "Paris",
"city_label": "Paris 75020",
"city": "Paris",
"zipcode": "75020",
"lat": 48.876996462350036,
"lng": 2.4095308158885547,
"source": "city",
"provider": "here",
"is_shape": true,
"images": [
"https://img.leboncoin.fr/api/v1/lbcpb1/images/92/83/47/928347abf52ee9593ddd940eb4aad861953aaec6.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/68/f8/fa/68f8faf0ba3a31311eb77fb10c5a94280b6dc5a6.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/5d/25/8c/5d258c9013cd74cbc2cb429b638b237dabf5babc.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/cd/8e/38/cd8e38c631bd095a5a17f4be53f8221c40b18bde.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/4c/c0/8d/4cc08dd9dfcad2f71cec6fd083b227053b59a34f.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/97/11/c2/9711c22876ca76c2126d60257ee1fb07d1651a82.jpg?rule=ad-image"
],
"nb_images": 6,
"thumb_image": "https://img.leboncoin.fr/api/v1/lbcpb1/images/92/83/47/928347abf52ee9593ddd940eb4aad861953aaec6.jpg?rule=ad-thumb",
"search_url": "https://www.leboncoin.fr/ad/ventes_immobilieres/2968756440",
"transport": [
{
"lng": 2.4068045,
"lat": 48.876966,
"category_id": "60.003",
"name": "Porte des Lilas",
"score": 1,
"lines": [
{
"label": "Métro",
"lines": [
"11",
"3b"
]
},
{
"label": "Tramway",
"lines": [
"T3b"
]
}
],
"category_name": "Transport en commun"
},
// truncated for example
],
"point_of_interests": [
{
"lng": 2.41299,
"lat": 48.87647,
"category_id": "70.002",
"name": "Épicerie",
"score": 1,
"lines": [],
"category_name": "Supermarchés"
},
// truncated for example
]
}

🔹 Use Cases

Real Estate Market Analysis: Track property listings and prices

Ecommerce Analytics: Extract product information and trends

Lead Generation: Collect phone numbers for verified listings

Data Research: Build datasets for machine learning or reporting

🛟 SUPPORT

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