Immonot Real Estate Scraper (France)

Scrape property listings from Immonot, the portal of French notaries (about 25,000 ads), and get clean structured data: price, living and land area, rooms, city and the notary office behind each ad, including notarial online auctions.

What you can do with it

• Track notary-sold property: houses, flats, land and commercial premises listed by notary offices, often outside the big portals.
• Study local prices: price, living area, land area and rooms by city, postal code or department.
• Spot opportunities: new listings and notarial online auctions ("vente interactive") in the areas you care about.
• Map the notary offices that handle the most property in a region.

Input

Field	What it does
Listing URL	Search on immonot.com with any filters, or use a department page such as https://www.immonot.com/immobilier-notaire/annonces/D35/ille-et-vilaine.html, then paste the URL. Empty means all listings in France.
Transaction type	all, sale, rent or interactive-sale (notarial online auction). Skipped listings do not count towards the maximum.
Maximum number of listings	The run stops once this many listings are saved.

Output

One record per listing:

{
  "id": "0000011770__w17908691002199104",
  "url": "https://www.immonot.com/immobilier-notaire/detail/0000011770__w17908691002199104/achat-maison-a-vendre-35340-liffre-ille-et-vilaine.html",
  "transaction": "sale",
  "propertyType": "maison",
  "price": 644800,
  "currency": "EUR",
  "city": "Liffré",
  "postalCode": "35340",
  "livingAreaM2": 161,
  "landAreaM2": 2000,
  "rooms": 6,
  "bedrooms": 4,
  "reference": "35009/CM-345",
  "photoCount": 10,
  "notaryOffice": "SELARL NOTAIRES DE LA VISITATION",
  "notaryAddress": "7 rue de la Visitation, 35000 Rennes",
  "imageUrl": "https://cdn-immonot.notariat.services/photo/jpg/w17908691002199104_1790870115835/maison-en-vente-liffre-35340-001.webp"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Good to know

• Each results page gives 12 listings with full data: runs are fast and cheap, no browser or proxy needed.
• For rentals, price is the monthly rent. For sales, it is the asking price.
• livingAreaM2 is the floor area shown on the card; for land plots and commercial premises it is the area announced by the notary.
• rooms, bedrooms, landAreaM2 and reference are empty when the notary did not give them.
• Only the notary office is named. Free-text descriptions are not exported because they often contain the personal contact details of the negotiator.

Why this one

• Notary-sold property, including online auctions. Every record names the notary office behind the ad (notaryOffice, notaryAddress), and the transaction filter covers sale, rent and interactive sale.
• Areas as numbers. livingAreaM2, landAreaM2, rooms and bedrooms are separate fields, ready to compute a price per square metre.

Who uses it

• Price tracking of the same listing between runs: drops, removals, new entries.
• Market analysis by area, brand or type, with numeric fields ready for a spreadsheet.
• Lead generation for agents, dealers and service providers who follow a local market.

Pricing

Pay per result: $2.00 per 1,000 listings, plus $0.00005 per run start. For example, 100 listings cost about $0.20. You only pay for the listings you receive, and platform usage is included in that price.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/immonot-real-estate-scraper').call({
  transaction: 'sale',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/immonot-real-estate-scraper").call(run_input={
    "transaction": "sale",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new listings daily and connect your tools

1. Schedule it. Save a task with your filters and schedule it daily with Apify Schedules. Compare runs on the id field to spot new, removed or repriced listings.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Immonot? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible property listings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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