French Real Estate Sales (DVF): Prices, Surfaces & €/m²

Every real French property sale, straight from the official land registry. Give it a commune name, postal code or INSEE code, and you get back structured transaction records: sale price, address, property type, surface, rooms, land, and €/m², pulled from the government's Demandes de Valeurs Foncières (DVF) open data.

Built for property valuation, real-estate market analysis, proptech, investment sourcing, and AI agents (works via API and MCP).

Why this actor

• ✅ Official data. This runs on the DGFiP/Etalab geo-DVF dataset, so every row is a real recorded sale, not an estimate or a listing.
• ✅ Query how you think. Search by commune name (Bordeaux), postal code (75011) or INSEE code (33063), and Paris, Lyon and Marseille get auto-expanded to their arrondissements.
• ✅ €/m² computed for you, along with a clean address, geocoordinates, surface, rooms and land area.
• ✅ Real filters: property type, price range, minimum surface, standard sales only, and year (2021 to 2025).
• ✅ Fair pricing. You pay per transaction returned.

Use cases

• Estimate a property's value from comparable nearby sales (€/m² by type and area).
• Market analysis that tracks price trends and volumes by commune, arrondissement or department.
• Investment sourcing across multiple areas at once, filtered by budget and surface.
• Enrichment, attaching real transaction history to an address or parcel.
• AI agents can query it over MCP, asking Claude or Cursor things like "average €/m² for 2-room flats sold in Bordeaux in 2024?"

Input

{
    "locations": ["Bordeaux", "75011", "33063"],
    "years": ["2023", "2024"],
    "propertyTypes": ["Appartement", "Maison"],
    "minPrice": 100000,
    "minSurface": 30,
    "onlySales": true,
    "maxResults": 1000
}

locations accepts commune names, postal codes and INSEE codes, mixed freely.

Output (one record per transaction line)

{
    "source": "DVF",
    "date": "2024-01-04",
    "year": 2024,
    "nature": "Vente",
    "price": 557500,
    "currency": "EUR",
    "pricePerM2": 10519,
    "propertyType": "Appartement",
    "surfaceBuilt": 53,
    "rooms": 3,
    "landSurface": null,
    "address": "12 RUE DE LA ROQUETTE",
    "postalCode": "75011",
    "commune": "Paris 11e Arrondissement",
    "inseeCode": "75111",
    "department": "75",
    "parcelId": "75111000AB0123",
    "latitude": 48.856,
    "longitude": 2.376,
    "sourceRef": "files.data.gouv.fr/geo-dvf (Etalab / DGFiP)"
}

Companion actors in the French real-estate suite

DVF gives you the sold prices (what buyers actually paid). Pair it with live asking prices from the listing scrapers to see the gap:

• SeLoger Scraper, for asking prices from France's #1 portal, with seller phone plus particulier/agence flag.
• Logic-Immo Scraper pulls Logic-Immo asking prices, with the advertiser's phone number and agency/private flag.
• PAP Real Estate Listings covers owner-direct (particulier) asking prices from PAP.
• Real Estate Deal Score combines PAP asking prices with this DVF data to rank listings over or under market.

Pricing

Pay per event, no subscription:

Event	When
Actor start	Once per run
Transaction found	Per transaction returned

FAQ

Where does the data come from? The official geo-DVF dataset published by Etalab from DGFiP records (files.data.gouv.fr/geo-dvf). It covers metropolitan France and most of the DOM; Alsace-Moselle notary data is not in DVF.

How recent is it? DVF is published twice a year; this actor serves years 2021 through 2025. Sales can take a few months to appear after signing.

Why several rows for one sale? A single mutation can span multiple lots/parcels, so each line is one property component. Records are deduplicated by mutation, parcel, type and surface.

Do Paris/Lyon/Marseille work? Yes, a name or postal code for these cities gets automatically mapped to the correct arrondissement(s).

Does it work with AI agents? Yes, it's exposed via REST API and MCP.

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Something missing?

If you need an extra field, another source, or a different output, open an issue on this Actor and describe it. I read every request and small additions usually ship within days. More French real estate Actors (pige, DVF, deal score, DPE leads) are on my profile.

Keywords: DVF, valeurs foncières, prix immobilier, real estate France, property prices, €/m², prix au mètre carré, estimation immobilière, transactions immobilières, land registry, proptech, DGFiP, Etalab.