atHome.lu Scraper - Luxembourg Property Listings

Scrape atHome.lu property listings for sale or rent in bulk. Extract price, price range, surface, rooms, bedrooms, property type, city, postcode, coordinates and photo count to CSV/JSON. No API key, no login.

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What does the atHome.lu Scraper do?

This Actor turns any atHome.lu search into a structured dataset. You give it by market or by search URL, it walks the result pages one after another, and it writes one clean row per listing into your dataset — ready to export as JSON, CSV or Excel, or to pull straight from the Apify API.

atHome.lu hydrates its search page from a window.__INITIAL_STATE__ payload that carries every listing as structured JSON. The Actor parses that state directly, so prices, surfaces and coordinates arrive already typed. Pagination is followed automatically until it runs out of results, hits your page limit or hits your Max items cap, whichever comes first. Every row is de-duplicated across the whole run, so you are never billed twice for the same listing.

There is no API key, no login and no browser involved. That keeps runs fast and cheap, and it means you can schedule the Actor without worrying about credentials expiring.

Who is it for?

• Property investors analysing Luxembourg and cross-border price per square metre.
• Estate agencies benchmarking their listings against the wider market.
• Relocation and HR teams budgeting housing for staff moving to Luxembourg.
• Mortgage and valuation analysts needing current asking prices by commune.
• PropTech products that need a structured Luxembourg property feed.

Use cases

• Export every apartment for sale in Luxembourg and compute price per square metre by commune.
• Track asking-price movement for a property type over successive months.
• Compare rental yields between Luxembourg City and cross-border French and German communes.
• Build a map layer of live listings using the latitude and longitude on every row.
• Monitor how much inventory a specific agency has on the market.

Why use this atHome.lu Scraper?

• 🔑 Keyless — no account, no API token, no cookies to paste.
• 📦 24 fields per listing — everything the result page exposes, already typed.
• 📄 Real pagination — it walks page after page instead of returning the first screen.
• 🎯 Precise caps — Max items stops the run exactly where you want it, so the bill is predictable.
• 📊 Export anywhere — JSON, CSV, Excel or HTML, plus the Apify API and integrations.
• 💸 Pay per result — you pay for rows you actually receive, with no platform fees to calculate.

What data can you extract?

Every run produces one row per listing, with these fields:

Field	Type	Description
listingId	string	atHome.lu listing ID
listingUrl	string	Full listing URL
title	string	Listing headline or programme name
transactionType	string	Whether the listing is for sale or to rent
propertyType	string	Property type, e.g. Apartment or House
price	number	Asking price or monthly rent
priceMin	number	Lower bound when the listing advertises a price range
priceMax	number	Upper bound when the listing advertises a price range
currency	string	Currency of the price
pricePerSqm	number	Price divided by surface when both are present
surface	number	Living surface in square metres
rooms	number	Total number of rooms
bedrooms	number	Number of bedrooms
bathrooms	number	Number of bathrooms
isNewBuild	boolean	Whether the listing is flagged as a new build
city	string	City or commune
country	string	Country of the listing
postalCode	string	Postal code
latitude	number	Latitude of the property
longitude	number	Longitude of the property
photoCount	number	Number of photos on the listing
hasVideo	boolean	Whether the listing has a video
page	number	Result page the listing appeared on
scrapedAt	string	ISO timestamp of extraction

Output example

{
  "listingId": "8646766",
  "listingUrl": "https://www.athome.lu/buy/apartment/luxembourg/id-8646766.html",
  "title": "Apartment for sale in Luxembourg",
  "transactionType": "buy",
  "propertyType": "Apartment",
  "price": 675000,
  "priceMin": 675000,
  "priceMax": 675000,
  "currency": "EUR",
  "pricePerSqm": 8653.85,
  "surface": 78,
  "rooms": 3,
  "bedrooms": 2,
  "bathrooms": 1,
  "isNewBuild": false,
  "city": "Luxembourg",
  "country": "lu",
  "postalCode": "1855",
  "latitude": 49.6116,
  "longitude": 6.1319,
  "photoCount": 12,
  "hasVideo": false,
  "page": 1,
  "scrapedAt": "2026-09-11T09:15:02.771Z"
}

How to use

Option A — by market

{
  "transactionType": "buy",
  "maxPagesPerSearch": 50,
  "maxItems": 1000
}

1. Open the Actor and fill in the market field.
2. Set Max pages per search and Max items to bound the run.
3. Click Start, then export from the Output tab.

Option B — by search URL

{
  "startUrls": [
    {
      "url": "https://www.athome.lu/en/rent/"
    }
  ],
  "maxPagesPerSearch": 50,
  "maxItems": 1000
}

Paste one or more atHome.lu URLs into Start URLs and the Actor paginates each of them independently.

Input parameters

Parameter	Type	Default	Description
transactionType	string	buy	Which market to crawl.
startUrls	array	[]	atHome.
maxPagesPerSearch	integer	10	How many result pages to walk for each search.
maxItems	integer	500	Stop after this many listings.
maxConcurrency	integer	3	Parallel requests.
proxyConfiguration	object	{"useApifyProxy": true}	Proxy used to fetch pages.

Tips for best results

• Choose buy or rent — they are separate searches on atHome.lu and return different inventory.
• pricePerSqm is computed by the Actor whenever price and surface are both available, so you do not have to.
• Luxembourg is a small market: a full sale search is a few thousand listings, not hundreds of thousands.
• Results include cross-border French, German and Belgian communes; filter on country if you only want Luxembourg.
• Every row carries latitude and longitude, so the output drops straight into a mapping tool.
• New-build programmes list a price range; the Actor stores the headline price and keeps the range bounds when present.
• Schedule monthly runs to build an asking-price index by commune.
• Rows with null price are listings marketed as price on request.
• Keep Max concurrency low — the site is modest in size and throttles heavy parallel crawling.
• Pair with other logiover property scrapers to compare Luxembourg against neighbouring markets.

Integrations

Send results straight into the tools you already use: Google Sheets, Slack, Zapier, Make, Airtable or any Webhook. You can also schedule the Actor to run hourly, daily or weekly and have each run append to the same dataset, which is how you build a price or availability history rather than a one-off snapshot.

API usage

Run the Actor and collect results from any language. Replace <YOUR_TOKEN> with your Apify API token.

cURL

curl -X POST "https://api.apify.com/v2/acts/logiover~athome-lu-property-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"transactionType": "buy", "maxPagesPerSearch": 50, "maxItems": 1000}'

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('logiover/athome-lu-property-scraper').call({"transactionType": "buy", "maxPagesPerSearch": 50, "maxItems": 1000});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('<YOUR_TOKEN>')
run = client.actor('logiover/athome-lu-property-scraper').call(run_input={"transactionType": "buy", "maxPagesPerSearch": 50, "maxItems": 1000})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Use with AI agents (MCP)

This Actor is available through the Apify MCP server, so an AI agent can call it as a tool. Point your agent at https://mcp.apify.com and it can run the atHome.lu Scraper on demand — for example: "Pull the first 500 listings from atHome.lu and summarise the price distribution." The agent receives the same structured rows you would get from the UI.

FAQ

Do I need a atHome.lu account or API key?

No. The Actor reads publicly available pages only. There is nothing to authenticate and no credentials to rotate.

How many listings can I get in one run?

As many as the search exposes. Raise Max pages per search and Max items together; the run stops at whichever limit it reaches first.

Why did I get fewer rows than I asked for?

The search ran out of listings. That is normal for narrow queries — broaden the search or add more searches to one run.

Are results de-duplicated?

Yes. Each listing is emitted once per run, even when it appears on several pages, so you are never billed twice for the same record.

Why are some fields empty?

atHome.lu does not publish every attribute for every listing. Empty means the source did not show it, not that extraction failed.

What export formats are supported?

JSON, CSV, Excel, HTML and RSS from the Output tab, plus the Apify API and any integration you connect.

How fast is it?

It is pure HTTP with no browser, so a page of results typically takes a second or two. Raise Max concurrency carefully — the source rate-limits aggressive crawling.

Can I schedule it?

Yes. Use the Apify scheduler to run it on any interval and append each run to the same dataset for time-series analysis.

Does it work behind a proxy?

It uses Apify Proxy automatically. You can switch groups or supply your own proxies in Proxy configuration.

How often does the data change?

atHome.lu updates continuously. Re-run whenever you need current data; the Actor always reads the live pages, never a cache.

Is the output schema stable?

Yes. Field names and types are fixed, so downstream pipelines will not break between runs.

What if the site changes its layout?

Open an issue on the Issues tab and it gets fixed. The Actor is actively maintained.

Is it legal?

This Actor reads only publicly available pages on atHome.lu — the same content any visitor sees without logging in. It does not bypass authentication, does not collect private data and does not attempt to defeat access controls. You are responsible for how you use the output: respect the source's terms of service, applicable copyright, and data-protection law such as GDPR where personal data is involved. Scraping public data is generally lawful in the EU and the US, but the responsibility for the downstream use of that data sits with you.

Related scrapers

• Immoweb Scraper — Belgian property listings
• ImmobilienScout24 Scraper — German property listings
• Funda Scraper — Dutch property listings
• Bien-Ici Scraper — French property listings