France Real Estate Scraper — Find Underpriced Properties 🏠🇫🇷

Scrape 5 French real estate sites and automatically compare prices with official government transaction data (DVF) to spot deals below market value.

🇫🇷 Scraper immobilier français — 5 sources + données DVF officielles pour trouver les biens sous-évalués. Score d'opportunité automatique.

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✨ Key Features / Fonctionnalités

• 🏘️ 5 sources — LeBonCoin, SeLoger, Bien'ici, PAP, Logic-Immo in one run
• 📊 DVF price comparison — auto-compare with official government sale prices
• 🎯 Opportunity score — instantly spot listings priced below market median
• 🗺️ Geo-enriched — coordinates + population data from geo.api.gouv.fr
• 🧹 Deduplicated — no duplicates across the 5 sources
• 🆓 No API keys — all public data, no login needed

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💰 How Much Does It Cost? / Combien ça coûte ?

Listings scraped	This Actor	Scraping 5 sites manually
50	~$0.15	2+ hours of work
100	~$0.25	4+ hours of work
500	~$1.00	Days of work

5 sources + DVF analysis for the price of a single scraper. The opportunity score alone saves you hours of manual research.

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🚀 Getting Started / Démarrage rapide

1. Enter a city — e.g., "Paris", "Lyon", or a department number like "75"
2. Set your filters — property type, price range, surface area
3. Run — get listings with automatic DVF price comparison and opportunity scores

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📥 Input Example / Exemple d'entrée

{
    "location": "Paris",
    "propertyType": "apartment",
    "maxPrice": 500000,
    "minSurface": 30,
    "maxResults": 100
}

Parameter	Type	Required	Default	Description
location	string	✅	—	City name or department number (e.g., "Lyon", "75")
propertyType	enum	❌	all	apartment, house, land, building
minPrice	integer	❌	—	Minimum price (€)
maxPrice	integer	❌	—	Maximum price (€)
minSurface	integer	❌	—	Min surface (m²)
maxSurface	integer	❌	—	Max surface (m²)
maxResults	integer	❌	100	Maximum results

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📤 Example Output / Exemple de sortie

{
    "title": "Appartement 3 pièces 65m² — Paris 11e",
    "price": 420000,
    "pricePerSqm": 6461,
    "surface": 65,
    "rooms": 3,
    "location": "Paris 11e",
    "postalCode": "75011",
    "url": "https://www.leboncoin.fr/ventes_immobilieres/...",
    "source": "leboncoin",
    "description": "Bel appartement traversant, 3 pièces au 4e étage avec ascenseur...",
    "dvfMedianPrice": 9800,
    "opportunityScore": 0.66,
    "latitude": 48.8596,
    "longitude": 2.3784,
    "scrapedAt": "2026-03-27T15:00:00Z"
}

🎯 Understanding the Opportunity Score / Comprendre le score

Score	Meaning	Signification
< 0.6	🔥 Excellent deal (40%+ below median)	Affaire exceptionnelle
0.6 – 0.8	✅ Good deal (20-40% below median)	Bonne affaire
0.8 – 1.0	➡️ Fair price (near median)	Prix juste
1.0 – 1.2	⬆️ Slightly above market	Légèrement au-dessus
> 1.2	⚠️ Above market	Au-dessus du marché

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🎯 Use Cases / Cas d'usage

Who / Qui	Use Case / Cas d'usage
🏦 Investors / Investisseurs	Find underpriced properties before others — filter by opportunity score < 0.8
📊 Analysts / Analystes	Real estate market analysis by city, price/m², trends vs DVF data
🏠 Relocators / Expatriés	Compare prices across neighborhoods and sources for relocation
🏗️ Developers / Promoteurs	Identify land and building opportunities in target areas
🔬 Researchers / Chercheurs	Housing market studies with structured, exportable datasets

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❓ FAQ

Q: What is DVF data? DVF (Demandes de Valeurs Foncières) is the official French government database of all property transactions. It's published by data.gouv.fr and gives real sale prices — not listing prices. We use 2024 data (latest available).

Q: What does the opportunity score mean? It's the ratio of listing price per m² to the DVF median price per m² for the same area. A score of 0.7 means the listing is 30% below the area's recent transaction median.

Q: What export formats? JSON, CSV, Excel (XLSX), XML, RSS — all from the Apify console.

Q: What if a source is down? The actor handles failures gracefully. If one source is temporarily unavailable, you still get results from the other 4.

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📋 Output Fields / Champs de sortie

Field	Type	Description
title	string	Listing title / Titre de l'annonce
price	integer	Asking price (€) / Prix demandé
pricePerSqm	integer	Price per m² / Prix au m²
surface	integer	Surface area (m²) / Surface
rooms	integer	Number of rooms / Nombre de pièces
location	string	City/neighborhood / Ville/quartier
postalCode	string	Postal code / Code postal
url	string	Original listing URL / Lien annonce
source	string	leboncoin, bienici, seloger, pap, logicimmo
description	string	Listing description (truncated)
dvfMedianPrice	integer	DVF median €/m² for the area
opportunityScore	float	Price ratio vs DVF median (lower = better deal)
latitude	float	GPS latitude
longitude	float	GPS longitude
scrapedAt	string	Scraping timestamp

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📚 Data Sources / Sources de données

Source	Monthly visits	Strength
LeBonCoin	~28M	Largest classifieds platform in France
SeLoger	~21M	#2 real estate site, professional agencies
Bien'ici	~15M	Major portal, good data quality
PAP	~9M	Private sellers only — no agency fees
Logic-Immo	~6M	Part of SeLoger/Aviv group
DVF	—	Official government transaction records

🔗 Integration Examples

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("joyouscam35875/france-real-estate-scraper").call(run_input={"searchUrl": "https://www.bienici.com/recherche/achat/paris", "maxResults": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('joyouscam35875/france-real-estate-scraper').call({"searchUrl": "https://www.bienici.com/recherche/achat/paris", "maxResults": 50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Make / Zapier / n8n

Use the Apify integration — search for this actor by name in the Apify app connector. No code needed.

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