French Property Scraper — Bien'ici Annonces Immo (MCP)

Extract clean, structured French property listings — for sale or for rent — from Bien'ici.com, one of France's largest real-estate portals. One Actor, no browser, no proxy.

Part of the data franchise series by the same developer: 🇲🇦 Avito.ma & Mubawab.ma (Morocco) • 🇫🇷 Paruvendu.fr (France).

What you get

One JSON row per property, ready for analysis, CSV/Excel export or AI pipelines:

Field group	Examples
Identification	id, url, reference, title, description
Price	price, currency, pricePerSquareMeter, priceWithoutFees, priceHasDecreased
Location	city, postalCode, departmentCode, district, latitude, longitude
Property	propertyType, surfaceArea, rooms, bedrooms, floor, yearOfConstruction, heating, exposition
Energy	energyClass (DPE A–G), gesClass (GES A–G)
Market signals	publicationDate, modificationDate, newProperty, isExclusiveSaleMandate, sellerType
Media	photosCount, mainPhoto
Agency (optional)	agencyName, agencyPhone, agencyAddress

How to use

1. Set Locations — a city (Paris), an arrondissement (Paris 15e, Lyon 3e) or a department (Hauts-de-Seine).
2. Pick buy or rent, optionally add property types, budget, surface and rooms.
3. Set Max listings, press Start and export your dataset.

Example inputs:

{ "locations": ["Paris", "Lyon 3e"], "transactionType": "buy", "propertyTypes": ["flat"], "minPrice": 200000, "maxPrice": 600000, "maxResults": 500 }

{ "locations": ["Hauts-de-Seine"], "transactionType": "rent", "maxPrice": 1500, "maxResults": 1000, "enrichAgencyDetails": true }

Use cases

• 🏠 Market analysis: price per m² by city, arrondissement or district
• 📉 Price-drop and time-on-market monitoring
• ⚡ Energy-transition analysis using DPE/GES ratings
• 🤖 Valuation models, proptech apps and AI data pipelines
• 🏢 Agency lead data (with enrichAgencyDetails)

Use from AI agents (MCP)

This Actor is exposed as a tool through Apify's MCP server — any MCP client (Claude, Cursor, VS Code / Copilot, Codex, custom agents) can discover and run it without writing code:

{
  "mcpServers": {
    "apify": { "url": "https://mcp.apify.com?tools=amygraphics/france-real-estate-scraper" }
  }
}

Then just ask: "Use amygraphics/france-real-estate-scraper to get me this data." Agents can also pay autonomously — this Actor is whitelisted for agentic payments (Direct x402 / Apify AGI prepaid token), so no Apify account is required.

Pricing

Pay-per-event: one listing-extracted charge per successfully extracted listing, plus a tiny apify-actor-start fee per run. Failed pages and empty searches are never charged, and the Actor stops cleanly when your spending limit is reached.

Notes & limits

• The portal paginates up to 2 400 results per query — combine several locations or filters for deeper coverage.
• Coordinates are the portal's approximate (privacy-blurred) positions.
• This Actor reads publicly available data only.

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🇫🇷 En français

Extrait des annonces immobilières françaises structurées (vente ou location) depuis Bien'ici.com : prix, prix au m², surface, pièces, classe DPE/GES, photos, coordonnées approximatives, type de vendeur, date de publication — et, en option, les coordonnées de l'agence.

Filtrez par ville, arrondissement ou département, budget, surface et nombre de pièces. Export JSON/CSV/Excel direct. Tarification à l'annonce extraite (listing-extracted) ; les pages en échec ne sont jamais facturées, et l'Actor s'arrête proprement quand votre limite de dépense est atteinte.

Fait partie de la série data franchise du même développeur : 🇲🇦 Maroc (Avito.ma, Mubawab.ma) • 🇫🇷 France (Paruvendu.fr, Bien'ici.com).

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Agents IA (MCP)

Cet Actor est exposé comme outil du serveur MCP d'Apify — branchez https://mcp.apify.com?tools=amygraphics/france-real-estate-scraper dans Claude, Cursor, VS Code ou Codex, puis demandez vos données en langage naturel. Les agents peuvent payer seuls (x402 / AGI) : l'Actor est whitelisted pour les paiements agentiques.