France DVF Sold Prices & DPE Energy Ratings (MCP)

Two official French open-data sources in one Actor — no browser, no proxy:

1. DVF — every notarial sale in France (price, exact date, address, GPS, surfaces, rooms, cadastral parcels), per department or commune, 2021 → 2025.
2. ADEME DPE — 15.7 million energy certificates: DPE/GES labels, consumption, estimated annual cost, surface, building type, construction period and heating energy.

Part of the data franchise series by the same developer: 🇲🇦 Morocco (Avito, Mubawab) • 🇫🇷 France (Paruvendu, Bien'ici, BODACC + SIRENE, Jobs, and now official property data).

Mode 1 — transactions (DVF)

Every recorded sale, aggregated one row per transaction:

Field	Example
mutationId / date / nature	2024-1210538 / 2024-01-05 / Vente
value (€) + pricePerSqm	1 042 000 / 9 806 €/m²
address, postalCode, commune, department	14 RUE AMELOT, 75011, Paris 11e
latitude, longitude	48.8565, 2.3694
builtSurface, landSurface, carrezSurface, rooms	106.2 / – / 96.4 / 4
lots[]	type, surface, rooms, lot number, carrez per lot
parcels[], lotsCount	cadastral references and number of lots

Perfect for price-per-m² maps, valuation models, DPE-aware investment screening and market reports by street or district.

Mode 2 — dpe (ADEME)

dpeNumber, date, validUntil, energyClass (A–G), gesClass (A–G), energyConsumptionKwhM2, gesEmissionKgM2, estimatedAnnualEnergyCostEur, surfaceM2, buildingType, constructionPeriod, heatingEnergy, heatingInstallation, full BAN address, INSEE, coordinates.

Filter by department, INSEE commune, energy class (F/G = "passoires thermiques"), GES class, building type and establishment dates.

Quick start

Paris apartment sales above 500 000 €, 2024 and 2025:

{ "mode": "transactions", "departments": ["75"], "years": ["2025", "2024"], "propertyTypes": ["Appartement"], "minValue": 500000, "maxResults": 500 }

Energy-poor dwellings in Lyon (DPE F and G), last 2 years:

{ "mode": "dpe", "communes": ["69123"], "energyClasses": ["F", "G"], "dateFrom": "2024-01-01", "dateTo": "2025-12-31", "maxResults": 400 }

Wo buys this

• 🏠 Estate agents, appraisers & proptech — real price-per-m² evidence by street
• 📈 Investors & analysts — yield, renovation and DPE-renovation screening
• ⚡ Energy renovation companies — DPE F/G target lists by area
• 🏛️ Journalists, researchers & public bodies — official, citable data

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-property-data-scraper" }
  }
}

Then just ask: "Use amygraphics/france-property-data-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 record-extracted charge per successfully extracted record, plus a tiny apify-actor-start fee per run. Failed requests are never charged and the Actor stops cleanly when your spending limit is reached.

Notes & limits

• DVF covers 2021 → 2025 (Etalab, updated twice a year; the current year is partial).
• Building-level DPE statistics can exceed the number of dwellings (collective buildings).
• Both sources are official French government open data.

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🇫🇷 En français

Deux sources officielles dans un seul Actor : les ventes notariales (DVF) — prix, date exacte, adresse, coordonnées GPS, surfaces, pièces, parcelles cadastrales, une ligne par mutation — et les DPE de l'ADEME (15,7 M de diagnostics) avec étiquettes DPE/GES, consommation, coût annuel estimé, surface, type de bâtiment et période de construction.

Filtres : département, commune (INSEE), type de bien, budget, surface, nature de la mutation, étiquette énergétique (F/G = passoires thermiques), GES, type de bâtiment et plage de dates. Tarification au record extrait (record-extracted).

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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-property-data-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.