France Real Estate Scraper ($1.50/1K)

What is France Real Estate Scraper?

France Real Estate Scraper searches three property portals in France with one query (SeLoger, Bien'ici and PAP) and returns one clean dataset of annonces immobilières (appartements and maisons, location or vente): merged and sorted newest first. Export as JSON, CSV or Excel. Costs $1.50 per 1,000 listings; full details are an add-on at $2 per 1,000 and price history at $1 per 1,000. A French residential proxy is built in.

• 🌍 3 sites, one run: SeLoger, Bien'ici and PAP are searched in parallel (about 20 seconds for 60 listings)
• 🧹 Cross-site dedup: the same home on several portals (same postcode, house number and listing type) appears once, with an also_on list of the other sites. See below why this rarely fires in France
• 📅 Newest first across all sites, with a total Max listings cap and an optional cap per site
• 🎯 Pick the sites you want under Sites
• 🛡️ A blocked or failing site never fails the run: it is retried on a fresh proxy session, then skipped and logged; the others still deliver
• 📈 Optional price history: the same shared store as our single-site Actors
• 🤖 Agent friendly: one flat schema for all sites, works through the Apify MCP server

Which sites are included?

Site	Country	Single-site Actor	Default	Notes
SeLoger	France	seloger-listings	yes	Largest French portal, at most 10,000 results per search; DataDome protected, so a few proxy exits are refused and retried; French residential proxy needed
Bien'ici	France	bienici-listings	yes	Agencies and private sellers, at most 2,500 results per search; fast
PAP	France	pap-listings	yes	Particulier à particulier (private sellers), about 300-375 results per search; only searches inside a place; French residential proxy needed

Results per site are capped by each site, not by this Actor (SeLoger 10,000, Bien'ici 2,500, PAP 300-375 per search). Asking for more returns what the site offers.

What data can I extract?

🆔 Stable listing ID, source site and URL	💶 Asking price or monthly rent
📍 Address, postcode, city, department, region	🏠 Property type, listing type and status
📐 Living area and plot area	🛏 Rooms (pièces), bedrooms, bathrooms
⚡ DPE energy label	📅 Date listed
🧑‍💼 Agency name, phone and link (where the site shows them)	🖼 Photos
🔁 also_on: other sites with the same home	📖 Description, coordinates, build year, charges (add-on)

Every site fills what it has; the rest is null. Site-specific extras (for example price_includes_charges, rent_excl_charges and department from SeLoger, old_price from Bien'ici and PAP) are kept as extra fields.

How do I scrape French real estate?

1. Create a free Apify account and open this Actor.
2. Enter a Location (for example Lyon) and choose For sale (vente) or For rent (location).
3. Optionally set price, property type, rooms, living area and Max listings.
4. Optionally change Sites, and switch on Full details and/or Price history.
5. Click Start and download the listings from the Output tab as JSON, CSV, Excel, XML or HTML.

How much does it cost to scrape French property sites?

You pay per home that ends up in your dataset: $1.50 per 1,000 unique listings, after duplicates are removed. No subscription, the proxy is included.

• Add-on: Full details, $2.00 per 1,000 listings, off by default. Charged only for listings that were actually enriched. One price for all three sites.
• Add-on: Price history, $1.00 per 1,000 listings, off by default. Charged only for listings that already had history (the first run is free).
• The monthly credit of Apify's free plan covers thousands of listings.
• You are charged for the listings in the dataset, not for the (more numerous) listings fetched before deduplication and the Max listings cut. Set a maximum cost per run in the run options.

Input

See the Input tab for all options. The shared fields are the same as in our single-site real-estate Actors, except Start URLs (they are site-specific: for those use the single-site Actors).

Field	Description
Location (location)	City, arrondissement, department or postcode, sent to every selected site. Commas run separate searches
Listing type (listing_type)	sale (default) or rent
Min / Max price (min_price, max_price)	Asking price, or rent per month, in euro
Property type (property_type)	any, house, apartment, land, commercial, parking
Min rooms (min_rooms)	At least this many rooms (pièces)
Min living area (min_living_area_m2)	At least this many m2
Sites (sites)	seloger, bienici, pap (default: all three)
Max listings (limit)	Cap on the merged dataset; every site gets a fair share
Max listings per site (limit_per_site)	Optional cap per site (default: Max listings)
Full details (includeDetails)	Paid add-on: detail page data
Price history (trackHistory, historyStoreName)	Paid add-on: history in your own named store
Proxy (proxyConfiguration)	Apify RESIDENTIAL, country FR by default; the Actor applies it only to the sites that need it

Example input:

{
    "location": "Lyon",
    "listing_type": "rent",
    "max_price": 1200,
    "limit": 100
}

Location

All sites are in France, so one location works everywhere. The Actor sends it to every selected site as is:

• Several places: a comma list runs one search per place on every site (the per-site limit is divided over the places). A place that a site rejects is skipped for that site.
• PAP only searches inside a place. Without a location, PAP is skipped and SeLoger and Bien'ici return listings for all of France.
• If every selected site rejects the input, the run fails with an input error so you notice.

Output

Listings are stored in the default dataset, one item per unique home. Export them as JSON, CSV, Excel, XML or HTML. Every site uses the same field names (id is <source>:<site id>). Example (shortened):

{
    "id": "bienici:example-123456",
    "source": "bienici",
    "url": "https://www.bienici.com/annonce/vente/lyon-69003/appartement/3pieces/example-123456",
    "title": "Appartement 3 pièces 68 m2",
    "listing_type": "sale",
    "property_type": "apartment",
    "status": "available",
    "price": 289000,
    "price_currency": "EUR",
    "price_period": null,
    "postcode": "69003",
    "city": "Lyon",
    "country": "FR",
    "living_area_m2": 68,
    "rooms": 3,
    "listed_at": "2026-10-31T08:12:00Z",
    "scraped_at": "2026-11-01T09:00:01Z",
    "also_on": []
}

(shortened; all real-estate fields are present, null when the site has none. Values above are illustrative.) status is available, under_offer, sold or rented.

How duplicates are removed

Two listings are the same home when they have the same postcode, house number (with addition) and listing type (sale or rent), on different sites. The first one is kept (order: SeLoger, Bien'ici, PAP) and the other sites go in also_on. None of the three French portals publish house numbers, so almost no listing qualifies and cross-site duplicates are rarely merged: the same flat can appear once per portal, especially when an agency posts it on SeLoger and Bien'ici. Listings without postcode or house number are never merged, and two listings of the same site are never merged (flats in one building). PAP is mostly private sellers, so it overlaps less with the other two.

Sorting

With Max listings, every site gets a fair share: listings are taken in turns from each site (each in its own newest-first order). The result is then sorted newest first by listed_at; items without a date keep their site order. PAP search results carry no date; the Full details add-on adds it.

Rent: with or without charges

SeLoger rents mostly include charges (charges comprises); price_includes_charges says which, and rent_excl_charges gives the rent without charges with the Full details add-on. PAP shows rents charges included too, Bien'ici shows them excluded, so compare rents per site with care.

Price history: track price and status changes

Switch on Price history (trackHistory) to follow listings over time. The Actor keeps a small history record per listing in a named key-value store in your own Apify account (default name realestate-history; change it with historyStoreName). We run no database and hold none of your data.

• Shared with the single-site Actors. Our single-site real-estate Actors use the same default store name and listing IDs, so a listing tracked there continues its series here, and the other way round.
• The first run starts the series. Listings seen for the first time are not charged for the add-on.
• Every later run adds first_seen_at, previous_price, price_change, price_change_pct, status_changed and price_history (the last 20 points) to each listing you saw before.
• History runs once over the merged list, after deduplication.
• Do not run two runs on the same store at the same time: the last writer wins per record. If you delete the store, history silently starts empty.

What can I do with French real estate data?

• 📈 Market research: compare prix au m2 and rents per city, arrondissement and portal
• 🔔 Alerts and feeds: new annonces and price drops to Slack, e-mail or your own site
• 🏢 Investors and agents: find new listings, spot private sellers on PAP, benchmark competitors
• 🧠 AI and analytics: feed listing data into valuation models

Tips for best results

• Bien'ici is the fastest (under a second for 60 listings); SeLoger needs a few seconds and sometimes a retry on a fresh proxy exit, which the Actor does for you; PAP is slowest (about 20 seconds for 60 listings).
• Always give a Location if you want PAP in the result.
• For a daily feed, schedule a run with a high Max listings and Price history on.
• Need a search URL you built on one site? Use that site's own Actor (seloger-listings, bienici-listings, pap-listings); this Actor takes filters, not URLs.

Frequently asked questions

Can I use France Real Estate Scraper with the Apify API?

Yes. Use the Apify API or the Apify clients. Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("carabain-digital/france-real-estate").call(run_input={"location": "Lyon", "listing_type": "rent", "max_price": 1200, "limit": 100})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["source"], item["title"])

Can I use France Real Estate Scraper through an MCP server or with AI agents?

Yes. Add the Apify MCP server to your AI agent (Claude, ChatGPT, Cursor and others) and let it call carabain-digital/france-real-estate with call-actor. The input is small and every field has a description, so an agent can fill it from a request such as "find the 20 newest appartements for rent in Lyon" (location, listing_type, property_type, limit). A small run finishes in seconds; the agent then reads the dataset with get-dataset-items. Add-ons are off by default, so an agent pays only the base price unless it asks for more.

Can I integrate the data with other apps?

Yes: Make, Zapier, Google Sheets, Slack, Airbyte and webhooks, via Apify's integrations.

Why are there fewer listings than Max listings?

Each site returns what matches your search, duplicates across sites are removed, and sites that do not know a filter are skipped. PAP is skipped without a location and has a ceiling of about 300-375 results per search. A narrow search can leave you with fewer.

Why do I see the same home twice?

SeLoger, Bien'ici and PAP do not publish house numbers, so the Actor cannot tell with certainty that two listings are the same home and keeps both. Compare on postcode, living_area_m2, rooms and price if you need to merge them yourself.

Why does one site return nothing?

Either it has no match for your search, or it was blocked and skipped after retries. The run log lists skipped sites. If all selected sites fail, the run fails so you notice. Try again later or open an issue.

Is it legal to scrape property portals?

The Actor only collects publicly visible listing data. Listings can contain personal data (for example an agent's or private seller's name or phone number), and rules such as GDPR may apply to how you store and use it. Check your use case with a lawyer. See also Is web scraping legal?

France Real Estate Scraper not working? / Feedback

Open an issue in the Issues tab of this Actor with the run link and the input you used; I usually answer within a few days.

Other scrapers by us

The three single-site Actors behind this one are linked in the table above: seloger-listings, bienici-listings, pap-listings. They are cheaper per home when you need one site only, and take search URLs.

⭐ Does it work well for you? A review on the Store page helps others find this Actor and helps us keep it maintained.