ImmobilienScout24 Scraper v2

Extract property listings from immobilienscout24.de, Germany's #1 property portal with 9,000+ active listings per city. Get fully-detailed listings including price, GPS coordinates, amenities, images, agent contacts, and more.

Why This Scraper?

• 35+ fields per listing — price, address, coordinates, rooms, area, balcony, elevator, kitchen, agent, images, project info
• GPS coordinates — ~95% of listings include latitude/longitude for map visualization
• Fast — ~0.2 seconds per listing (5–8× faster than browser-based scrapers)
• Low-memory — runs on 256 MB (vs. ~1 GB for headful Chrome scrapers)
• Reliable — automatic session refresh on transient failures keeps long runs flowing
• Buy & Rent — apartments and houses across all German cities

Data You Get

Field	Example
Title	"Lichtdurchflutete 3-Zimmer-Wohnung mit Balkon"
Price	561.000 € (numeric + display)
Address	"Daumstraße 53, Haselhorst, Berlin"
Coordinates	52.55113, 13.22466
Rooms	3
Living Area	77.9 m²
Construction Year	2028
Amenities	Balcony, elevator, kitchen, garden, cellar, barrier-free
Commission	Commission-free or not
Images	Up to 15+ photo URLs per listing
Floorplan	Floorplan URL when available
Agent	Name, phone, company
Project	New development name, URL
Tags	["Provisionsfrei", "Balkon/Terrasse", "Aufzug"]
Dates	Published, modified, created

How to Use

Search by Location (default)

Pick a state from the dropdown, then type any city or town name:

{
  "locations": [
    { "state": "berlin", "city": "Berlin" }
  ],
  "listingType": "buy",
  "propertyType": "apartment",
  "maxPages": 10
}

Search with Filters

{
  "locations": [{ "state": "berlin", "city": "Berlin" }],
  "listingType": "buy",
  "propertyType": "apartment",
  "priceMin": 200000,
  "priceMax": 600000,
  "roomsMin": 2,
  "livingSpaceMin": 60,
  "equipment": ["balcony", "lift"],
  "noCommission": true,
  "sortBy": "newest",
  "maxPages": 10
}

Multiple Cities

{
  "locations": [
    { "state": "berlin", "city": "Berlin" },
    { "state": "bayern", "city": "München" },
    { "state": "hamburg", "city": "Hamburg" },
    { "state": "nordrhein-westfalen", "city": "Köln" },
    { "state": "hessen", "city": "Frankfurt am Main" }
  ],
  "maxPages": 50
}

Direct URLs (with forward-walk pagination)

Paste any ImmobilienScout24 search URL with your own filters. If the URL contains a pagenumber=N, scraping starts from page N and walks forward — useful for resuming or splitting large searches across runs.

{
  "mode": "url",
  "urls": [
    "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-kaufen?price=-500000&livingspace=50.0-&pagenumber=3"
  ],
  "maxPages": 20
}

The example above scrapes pages 3 → 22 (or until results run out).

Input Parameters

Parameter	Type	Default	Description
mode	string	"location"	"location" to search by city, "url" for direct URLs
locations	array	Berlin	Pick state from dropdown + type city name
urls	string[]	—	Search URLs with filters (url mode); honors pagenumber=N as start page
listingType	string	"buy"	"buy" or "rent"
propertyType	string	"apartment"	"apartment" or "house"
priceMin / priceMax	number	—	Price range in EUR
roomsMin / roomsMax	number	—	Number of rooms
livingSpaceMin / livingSpaceMax	number	—	Living area in m²
constructionYearMin / constructionYearMax	number	—	Construction year range
equipment	string[]	—	Required amenities: balcony, builtinkitchen, garden, lift, cellar, guesttoilet, barrierfree
noCommission	boolean	false	Only commission-free (provisionsfrei) listings
sortBy	string	"default"	default, newest, priceAsc, priceDesc
maxPages	number	2	Max pages per search (20 listings/page)
maxListings	number	unlimited	Max total listings to collect
proxy	object	German residential	Proxy config

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape — the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record — not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Output Example

{
  "id": "123456789",
  "url": "https://www.immobilienscout24.de/expose/123456789",
  "listingType": "buy",
  "propertyType": "apartment",
  "title": "Helle 3-Zimmer-Wohnung mit Balkon",
  "addressFull": "Musterstraße 12, Mitte, Berlin",
  "street": "Musterstraße",
  "postcode": "10115",
  "city": "Berlin",
  "quarter": "Mitte",
  "latitude": 52.5320,
  "longitude": 13.3850,
  "priceValue": 450000,
  "priceCurrency": "EUR",
  "priceDisplay": "450.000 €",
  "rooms": 3,
  "livingSpace": 85.5,
  "constructionYear": 2024,
  "balcony": true,
  "lift": true,
  "garden": false,
  "hasCourtage": false,
  "imageCount": 5,
  "images": ["https://pictures.immobilienscout24.de/listings/..."],
  "contactCompany": "Beispiel Immobilien GmbH",
  "contactPhone": "030 1234567",
  "projectName": null,
  "tags": ["Provisionsfrei", "Balkon/Terrasse", "Aufzug"],
  "isNew": true,
  "datePublished": "2026-03-01T10:00:00.000+01:00",
  "scrapedAt": "2026-03-25T12:00:00.000Z"
}

Performance

Measured on a 50-page Berlin scrape (1,000-listing target):

Metric	Value
Wall time	~3 minutes
Memory	256 MB
Per-listing latency	~0.19 s

Tips

• German residential proxy gives the best results. The scraper ships with a built-in fallback so it will still work without one, but latency will be slightly higher on the fallback path.
• For very large scrapes, break the work into smaller URL-mode runs using pagenumber=N so each run starts where the last one ended.