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France Judicial Real-Estate Auctions Scraper

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from $3.00 / 1,000 results

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France Judicial Real-Estate Auctions Scraper

France Judicial Real-Estate Auctions Scraper

Scrape Licitor (licitor.com) — French judicial real-estate auctions (ventes aux enchères): mise à prix, court, sale date, address, surface and the cahier des conditions PDF, plus legal price-drop levels and estimated frais préalables. Filter by region, type and price. Export to JSON/CSV/Excel.

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from $3.00 / 1,000 results

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SignalFlow

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🇫🇷 France Judicial Real-Estate Auctions Scraper

Extract upcoming French judicial real-estate auctions from Licitor — the reference platform for ventes aux enchères immobilières since 1996. Get structured data on properties, starting prices, tribunal details, sale dates, PDF legal documents, and smart calculated fields like legal price-drop levels, estimated auction fees, and price-per-m².


🎯 Why use this Scraper?

Judicial auctions in France move fast and the data is fragmented across dozens of tribunal pages. This Actor solves that by:

  • Bulk extraction of every upcoming auction in a region — or all of France.
  • Structured output (JSON / Excel / CSV) instead of manually browsing tribunal-by-tribunal.
  • Smart, legally-grounded fields — legal price-drop levels (½, ⅔ of the mise à prix), an estimate of the mandatory frais préalables (~12%) the buyer pays on top, the estimated total cash needed, and price-per-m².
  • Legal documents — optional PDF download of the cahier des conditions de vente.
  • Google Maps links on every property so you can inspect locations instantly.

🏢 Use Cases

  • Real-estate investors — spot undervalued properties before the auction date.
  • Notaires & avocats — monitor tribunal calendars and competing listings.
  • Market research — analyse starting prices, surface areas, and price-per-m² by region.
  • Data enrichment — append auction data to an existing property or CRM dataset.

📦 Output Data

Each result is a structured record with the following fields:

id, title, type, price_base, price_base_fmt, minimum_bid, court, procedure_number, sale_date, sale_type, address, city, department, region, surface_m2, description, agent, detail_url, pdf_url, photos, google_maps_url, status, baisse_mise_a_prix_50_fmt, baisse_mise_a_prix_66_fmt, frais_prealables_estimate_fmt, cout_total_estimatif_fmt, price_per_m2.

Example output

ℹ️ The values below are illustrative samples, not a real listing.

{
"id": "108325",
"title": "Un studio",
"type": "Studio",
"price_base": 55200.0,
"price_base_fmt": "55 200,00 €",
"minimum_bid": "Consignation : 5 520 €",
"court": "Tribunal Judiciaire de Paris",
"procedure_number": "25/00214",
"sale_date": "2026-06-04T14:00:00",
"sale_type": "Vente aux enchères publiques en un lot",
"address": "1-3-5, passage Ruelle, Paris 18ème",
"city": "Paris 18ème",
"department": "75",
"region": "Île-de-France",
"surface_m2": 23.0,
"description": "de 23 m², au 1er étage, escalier A et B face à l'escalier C, comprenant : pièce principale, kitchenette, salle de bains, wc Occupé",
"agent": "Maître Jean EXEMPLE, Avocat",
"detail_url": "https://www.licitor.com/annonce/10/83/25/vente-aux-encheres/un-studio/paris-18eme/paris/108325.html",
"pdf_url": "https://www.licitor.com/data/pub/media/annonce/10/83/25/108325.000.001.c76b94cb4c43.pdf",
"photos": [],
"google_maps_url": "https://maps.google.fr/maps?q=48.8865242,2.3588109&z=13",
"status": "active",
"baisse_mise_a_prix_50_fmt": "27 600,00 €",
"baisse_mise_a_prix_66_fmt": "36 432,00 €",
"frais_prealables_estimate_fmt": "6 624,00 €",
"cout_total_estimatif_fmt": "61 824,00 €",
"price_per_m2": 2400.0
}

About the calculated fields (French judicial-auction law): the mise à prix (starting price) is set by the judge — often based on the debtor's remaining debt, not market value — so a generic "investor bid limit" off the starting price is meaningless. Instead we provide legally meaningful figures:

  • baisse_mise_a_prix_50_fmt / baisse_mise_a_prix_66_fmt — if nobody bids (carence d'enchères), the judge may apply a faculté de baisse de mise à prix; the standard legal drops are to ½ or of the starting price. These tell you the next possible starting prices.
  • frais_prealables_estimate_fmt — estimated mandatory auction costs (~12%) the buyer pays on top of the winning bid.
  • cout_total_estimatif_fmt — starting price + estimated frais préalables = the cash an investor actually budgets against.

⚙️ Input

FieldTypeDefaultDescription
regionstring"france"Region to search: france, paris-et-ile-de-france, bretagne-grand-ouest, centre-loire-limousin, regions-du-nord-est, sud-est-mediterrannee, sud-ouest-pyrenees.
tribunalstring""Optional tribunal filter (partial match), e.g. paris, lyon.
min_priceinteger0Minimum starting price (mise à prix) in €. 0 = no limit.
max_priceinteger0Maximum starting price in €. 0 = no limit.
max_itemsinteger100Maximum auctions to return. 0 = unlimited.
download_pdfbooleantrueSave the cahier des conditions de vente PDF to permanent storage (so it's never lost if the source link expires). Set false to keep only source links.
include_unpricedbooleanfalseInclude auctions with no starting price set yet. Off by default to avoid empty/N/A rows.

💡 Tips

  • Start small — run with max_items: 5 to verify the output format before a full scrape.
  • Filter by tribunal — useful when a region covers many courts (e.g. Île-de-France has 10+ tribunals).
  • Price filters — combine min_price and max_price to focus on your investment bracket.
  • PDF documents are saved by default to permanent storage, so the cahier des conditions is never lost if the source link expires. Set download_pdf: false to keep only the source links for slightly faster runs.
  • Full France export — set region: france and max_items: 0 for a complete national snapshot.

🤖 Use it as an AI Tool (MCP)

This Actor is Model Context Protocol (MCP) compatible, so AI assistants like Claude can call it directly through the Apify MCP Server. The input is described so an assistant can fill it in from a natural-language request, for example:

"Find 20 upcoming judicial auctions in Paris with a starting price under 200,000 € and return their addresses, sale dates, and PDF links."

The assistant maps that to region: "paris-et-ile-de-france", max_price: 200000, max_items: 20 and reads the structured results — no manual configuration needed.


📜 Disclaimer

This Actor extracts publicly available judicial auction notices from Licitor. The data is published for public information purposes. You are responsible for using the data in compliance with applicable laws. Do not use the data for unlawful purposes. Always verify auction details directly with the relevant tribunal before bidding.


🇫🇷 Pour les investisseurs et professionnels français

Cet Actor extrait automatiquement les ventes aux enchères immobilières judiciaires publiées sur Licitor, la référence des ventes aux enchères depuis 1996. Idéal pour les investisseurs immobiliers, marchands de biens, notaires et avocats.

🚀 Pourquoi l'utiliser ?

  • Extraction en masse de toutes les ventes à venir d'une région — ou de toute la France.
  • Données structurées (JSON / Excel / CSV) au lieu de parcourir les tribunaux un par un.
  • Documents officiels : téléchargement du cahier des conditions de vente (PDF).

💰 Champs intelligents (conformes au droit français)

La mise à prix est fixée par le juge — souvent selon la dette du débiteur, pas la valeur de marché. Nous fournissons donc des indicateurs juridiquement pertinents :

  • baisse_mise_a_prix_50_fmt / baisse_mise_a_prix_66_fmt — en cas de carence d'enchères, le juge peut appliquer une faculté de baisse de mise à prix (½ ou ⅔ du prix de départ).
  • frais_prealables_estimate_fmt — estimation des frais préalables (~12 %) payés en plus de l'enchère gagnante.
  • cout_total_estimatif_fmt — mise à prix + frais estimés = la trésorerie réellement nécessaire.

🎯 Cas d'usage

  • Investisseurs : repérer des biens sous-évalués avant la date de vente.
  • Notaires & avocats : suivre les calendriers des tribunaux et la concurrence.
  • Étude de marché : analyser les mises à prix, surfaces et prix au m² par région.

Prix et données fournis à titre indicatif — les informations officielles priment toujours.