ImmoScout24 Scraper

Extract clean, structured real estate data from ImmoScout24 — Germany's largest property marketplace — in seconds. Built for real estate agencies, PropTech developers, investors, and analysts who need reliable rental and for-sale listing data without touching a browser or writing a single line of scraping code.

Why use this scraper

• Complete German real estate coverage — apartments, houses, plots, garages, investment properties, shared flats (WG), and assisted living, for both rent and buy.
• No-code data extraction — just paste a search URL or set filters and run. No proxies, no browser setup, no maintenance on your end.
• Deep, structured output — price breakdowns, energy certificates, agent/landlord contact details, full address and geolocation, and photo galleries in one clean JSON/CSV row per listing.
• Built for automation — plug directly into your CRM, spreadsheet, BI tool, or AI agent via API, webhook, or native no-code integrations.

Features

• Search by pasted ImmoScout24 URL, location geocode, or latitude/longitude radius search
• Filter by rent or buy, property type, price range, room count, living space, plot size, construction year, and energy class
• Filter by amenities and equipment — balcony, garden, fitted kitchen, elevator, cellar, guest toilet, step-free access, and parking
• Filter by apartment sub-type (loft, maisonette, penthouse, etc.) and building sub-type (villa, bungalow, semi-detached, etc.)
• Fetch specific listings directly by ImmoScout24 expose ID, bypassing search entirely
• Toggle between fast search-only results or full listing detail enrichment (price breakdown, energy data, description, agent contact, photos)
• Full price transparency for rentals (cold rent, warm rent, utilities, heating costs, deposit) and purchases (purchase price, broker commission, land transfer tax, notary costs)
• Complete energy performance data (EPC class, certificate type, consumption, primary energy carrier)
• Full photo galleries, floor plans, and agent/landlord contact details on every listing
• Structured, geocoded addresses ready to drop straight into a map or CRM

Output fields

Every listing is returned as a structured JSON object (and flattened automatically for CSV/Excel export). Fields are grouped below by category.

Listing Details

Field	Description
id	Unique ImmoScout24 listing (expose) ID
url	Direct link to the listing on immobilienscout24.de
title	Listing headline
operation	RENT or BUY
realEstateType	Raw ImmoScout24 listing type code
propertyCategory	Normalized category: apartment, house, garage, plot, investment, sharedflat, assistedliving
publicationState / listingState	Current publication status of the listing
isProject	Whether the listing is part of a new-build development project
isPrivate	Whether the listing was posted by a private individual (not an agency)
isNew	Whether the listing is newly published
isNewlyConstructed	Whether the property itself is newly constructed
listingType	Listing tier/type as set by the poster
objectNumber	Internal object/reference number from the lister
projectId	Associated development project ID, if any
availableFrom	Date the property becomes available
isHighDemand	Whether ImmoScout24 flags the listing as high demand
isExclusiveExpose	Whether the listing is marked as an exclusive expose
isPrivateOffer	Whether the listing is a private offer
tags	Listing badges/tags as shown on ImmoScout24
hasDetails	Whether full detail-page enrichment was applied to this record
scrapedAt	UTC timestamp the record was collected

Price & Costs

Field	Description
price	Primary listing price (cold rent for rentals, purchase price for sales)
priceCurrency	Always EUR
priceRaw	Original unparsed price string as shown on the listing
pricePerSqm	Price per square meter, calculated from price and living space
kaltmiete	Cold rent (excl. utilities)
warmmiete	Warm rent (incl. utilities)
nebenkosten	Monthly utility/service charges
heizkosten	Monthly heating costs
kaution	Deposit or cooperative share requirement
kaufpreis	Purchase price (for-sale listings)
kaufnebenkosten	Additional purchase costs
gesamtkosten	Total purchase costs
maklerprovision	Broker/agent commission
grunderwerbsteuer	Real estate transfer tax
notarkosten	Notary fees
grundbucheintrag	Land registry entry fee
fairPrice.label	ImmoScout24's fair-price assessment label
fairPrice.minPricePerM2 / fairPrice.maxPricePerM2	Fair-price range per square meter for the area
fairPrice.positionInPercent	Where this listing's price sits within the fair-price range

Property Specs

Field	Description
livingSpace	Living space in square meters
plotArea	Plot/ground size in square meters
rooms	Number of rooms
bedrooms	Number of bedrooms
bathrooms	Number of bathrooms
floor	Floor the unit is on
numberOfFloors	Total floors in the building
yearBuilt	Year of construction
condition	Property condition (e.g. renovated, first occupancy)
heatingType	Type of heating system
buildingType	Building or apartment sub-type
energyClass	EU energy efficiency class (A+ to H)
energyCertificateType	Type of energy certificate provided
energyConsumption	Energy consumption value
primaryEnergyCarrier	Primary energy source (gas, oil, district heat, etc.)
balcony / terrace / garden / cellar	Amenity flags
elevator / guestToilet / builtInKitchen	Amenity flags
handicappedAccessible	Step-free / accessible access flag
parking	Parking/garage details
petsAllowed	Pet policy
description	Main listing description text
objectDescription	Property description section
equipmentDescription	Equipment/fittings description section
locationDescription	Neighborhood/location description section
miscDescription	Additional notes section

Location / Address

Field	Description
address.fullAddress	Full address as displayed on the listing
address.street	Street name
address.houseNumber	House number
address.zip	Postal code
address.city	City
address.district	District/neighborhood
address.region	Region/state
address.country	Country (Deutschland)
address.isRedacted	Whether the exact address is hidden until contact
latitude / longitude	Geocoordinates
coordinatePrecision	exact, approximate, or unknown

Agent / Landlord Info

Field	Description
realtor.company	Agency or landlord company name
realtor.name	Contact person's name
realtor.phone	Contact phone number
realtor.email	Contact email address
realtor.profileUrl	Link to the agent's ImmoScout24 profile
realtor.rating	Agent rating score
realtor.ratingCount	Number of ratings/stars
realtor.isVerified	Whether the agent is verified by ImmoScout24
realtor.logoUrl	Agency logo image URL

Media

Field	Description
photos	Array of { url, caption } objects — the full photo gallery
photosCount	Total number of photos
floorPlanUrl	Floor plan image/PDF URL, if available
videoUrl	Listing video URL, if available
virtualTourUrl	Virtual tour URL, if available

Use cases

• Market research — track average rents and sale prices by city, district, or property type across Germany.
• Rent & price monitoring — watch specific areas or property types for new listings and price changes over time.
• Lead generation for real estate agents & agencies — build prospect lists of private landlords and competing agencies with contact details.
• Investment analysis — compare price-per-square-meter, yields, and fair-price positioning across neighborhoods to find undervalued opportunities.
• Competitor analysis for PropTech & agencies — benchmark your own listings against comparable inventory on the market.
• Data journalism — power housing-market stories and visualizations with structured, verifiable listing data.
• ML & AI training data — feed clean, labeled real estate records into pricing models, valuation tools, or AI agents.
• Relocation & portfolio tools — enrich apartment-finder apps or corporate relocation platforms with live German listing inventory.

Input

Configure the scraper with a search URL, location, or specific listing IDs — plus optional filters. Example input:

{
  "searchUrl": "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?numberofrooms=2.0-4.0",
  "operation": "rent",
  "propertyType": "apartment",
  "minPrice": 800,
  "maxPrice": 2000,
  "minRooms": 2,
  "maxRooms": 4,
  "minLivingSpace": 50,
  "equipment": ["balcony", "builtInKitchen", "cellar"],
  "fetchDetails": true,
  "maxItems": 100
}

You can also skip search entirely and pass listingIds to fetch a specific set of exposes directly, or use latitude / longitude / radiusKm for a radius-based search around a point. Set fetchDetails to false for a faster, lighter run that returns search-result fields only, without the full expose enrichment (price breakdown, energy data, description, agent contact).

Output example

{
  "id": "148392057",
  "url": "https://www.immobilienscout24.de/expose/148392057",
  "title": "Helle 3-Zimmer-Wohnung mit Balkon in Prenzlauer Berg",
  "operation": "RENT",
  "propertyCategory": "apartment",
  "isNew": true,
  "address": {
    "fullAddress": "Kastanienallee 42, 10435 Berlin",
    "street": "Kastanienallee",
    "houseNumber": "42",
    "zip": "10435",
    "city": "Berlin",
    "district": "Prenzlauer Berg",
    "country": "Deutschland",
    "isRedacted": false
  },
  "latitude": 52.5396,
  "longitude": 13.4127,
  "coordinatePrecision": "exact",
  "price": 1450,
  "priceCurrency": "EUR",
  "pricePerSqm": 19.33,
  "kaltmiete": 1450,
  "warmmiete": 1780,
  "nebenkosten": 250,
  "heizkosten": 80,
  "kaution": "4350 €",
  "livingSpace": 75,
  "rooms": 3,
  "bedrooms": 2,
  "bathrooms": 1,
  "floor": "3. Etage",
  "yearBuilt": 1905,
  "condition": "Saniert",
  "heatingType": "Fußbodenheizung",
  "energyClass": "C",
  "balcony": true,
  "garden": false,
  "cellar": true,
  "elevator": false,
  "builtInKitchen": true,
  "description": "Diese lichtdurchflutete Altbauwohnung besticht durch hohe Decken...",
  "photos": [
    { "url": "https://pictures.immobilienscout24.de/listings/148392057-1.jpg", "caption": "Wohnzimmer" },
    { "url": "https://pictures.immobilienscout24.de/listings/148392057-2.jpg", "caption": "Küche" }
  ],
  "photosCount": 12,
  "realtor": {
    "company": "Berlin Wohnen Immobilien GmbH",
    "name": "Anna Müller",
    "phone": "+49 30 12345678",
    "profileUrl": "https://www.immobilienscout24.de/anbieter/12345",
    "isVerified": true
  },
  "hasDetails": true,
  "scrapedAt": "2026-07-20T10:15:00.000Z"
}

Export formats

Download your results in the format your workflow needs — JSON, CSV, Excel (XLSX), or XML — directly from the Apify dataset, no extra setup required. Perfect for feeding straight into spreadsheets, databases, or BI tools.

Integrations

This scraper works anywhere your data needs to go:

• REST API — trigger runs and pull results programmatically
• MCP server — connect directly to Claude, ChatGPT, and other AI agents for natural-language data requests
• Webhooks — get notified the moment a run finishes
• Zapier, Make, and n8n — no-code automation into thousands of other apps
• Google Sheets — pipe listings straight into a live spreadsheet
• AI agent & LLM workflows — built for integration with LangChain, Claude, ChatGPT, and other agent frameworks that need structured, real-time real estate data

Tips for best results

• Paste a fully-filtered search URL straight from your browser for the fastest, most accurate setup — all filters are read automatically.
• Turn off fetchDetails when you only need headline price, size, and location for a large batch of listings.
• Use listingIds when you already know exactly which exposes you want, to skip search entirely.
• Combine latitude / longitude / radiusKm for hyper-local radius searches around a specific address or landmark.
• Re-run on a schedule (via Apify's built-in scheduler) to track price changes and new listings over time.

FAQ

Does this scraper require a proxy or any technical setup? No. It runs out of the box on Apify — no proxy, browser, or infrastructure setup needed on your end.

Can I search by city, postcode, or exact radius? Yes. Use a geocode path, a postcode, or set latitude/longitude with a radius in kilometers.

Does it return both rental and for-sale listings? Yes, set the operation input to rent or buy.

Can I get agent or landlord contact details? Yes, when fetchDetails is enabled, each listing includes available agent/landlord company, name, phone, and profile link.

What formats can I export the data in? JSON, CSV, Excel, and XML — all available directly from the Apify dataset, plus API and webhook access for automated pipelines.

Pricing

Pay only for results — no subscription required. Try it free.

Related scrapers

Looking for other European real estate data? Check out our other property scrapers for more markets and marketplaces — great for building a multi-country real estate dataset or comparing cross-border investment opportunities.