ImmobilienScout24 Scraper - Germany Real Estate Listings

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Immobilien Scout GmbH or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "ImmobilienScout24" is referenced only to describe the publicly available website this Actor collects data from.

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by ImmobilienScout24, ImmoScout24 or Scout24 SE. All trademarks mentioned are the property of their respective owners.

Scrape property listings from immobilienscout24.de, Germany's largest real-estate portal, straight into JSON, CSV or Excel. Paste any immobilienscout24.de search URL - buy (wohnung-kaufen, haus-kaufen) or rent (wohnung-mieten, haus-mieten), any city, district or radius - and get clean rows with price, price per m2, rooms, living space, full address with coordinates, energy class, amenity flags (balcony, lift, cellar, built-in kitchen...), agent company and - where the lister publishes it - a direct contact name and phone number.

ImmoScout24 sits behind enterprise anti-bot protection (AWS WAF) that answers ordinary HTTP scrapers with a 401. This actor handles that for you: no proxy setup, no browser fingerprinting, no captcha service, and no API key on your side. You paste a search URL and get rows.

What you get per listing - 50+ fields

Field	Type	Meaning
id / url	string	ImmoScout24 listing id and canonical immobilienscout24.de/expose/<id> link
title	string	Listing headline
propertyType	string	Typed by the source: ApartmentBuy, ApartmentRent, HouseBuy, HouseRent...
marketingType	string	PURCHASE or RENT
price	number	Asking price (sale) or base rent (rentals)
pricePerSqm	number	Price divided by living space, computed for you
totalRent	number	Total rent incl. service costs, on rental listings that publish it
livingSpaceSqm / plotAreaSqm / rooms	number	Living space, plot area (houses), rooms
street, houseNumber, postcode, city, quarter, fullAddress	string	Full address, down to house number where the lister publishes it
latitude / longitude	number	WGS84 coordinates for mapping
energyEfficiencyClass	string	A+...H where the listing carries a certificate
constructionYear	number	Year built
builtInKitchen, balcony, garden, lift, guestToilet, cellar, barrierFree	boolean	True amenity booleans - a real false stays false
commissionFree	boolean	true when the listing is provisionsfrei for the buyer
privateOffer	boolean	Private seller vs professional agent
agentCompany, contactName, contactPhone	string	Listing company plus the contact person and phone the lister publishes on the card
tags	array	Card badges, e.g. "Provisionsfrei für Kaufende", "Balkon/Terrasse"
images / image	array / string	Up to 10 photo URLs (800x600), floorplans excluded
hasFloorplan, hasVideo	boolean	Media flags
listingTier	string	ImmoScout24's own placement tier (S/M/L/XL/XXL) - premium listings identified
isNewBuildProject, projectName, projectUrl	-	New-build project info when the unit belongs to one
publishedAt / modifiedAt	string	Source timestamps - spot fresh supply and price edits
attributes	object	The card's own formatted attribute set, verbatim (per-type extras like plot area)
type, sourceUrl, scrapedAt	-	Record type (listing), originating search URL, fetch timestamp

Field coverage, measured on real unlocked Berlin pages (40 listings): price, livingSpaceSqm, rooms, pricePerSqm, postcode, city, quarter, all seven amenity booleans, agentCompany, contactName, images were present on 40 of 40. contactPhone on 36 of 40 (90%). street/houseNumber/coordinates on 78%

• ImmoScout24 only shows the exact address when the lister opts in. constructionYear 80%. energyEfficiencyClass 45% - listings without a published certificate genuinely do not carry it. totalRent and plotAreaSqm apply to rentals and houses respectively and are null on other segments.

Example output

One real row, exactly as written to the dataset (truncated to the highlights):

{
  "type": "listing",
  "id": "169863156",
  "url": "https://www.immobilienscout24.de/expose/169863156",
  "title": "Perfekt für Paare - mit Platz fürs Homeoffice",
  "propertyType": "ApartmentBuy",
  "marketingType": "PURCHASE",
  "price": 494000,
  "currency": "EUR",
  "pricePerSqm": 7347.91,
  "livingSpaceSqm": 67.23,
  "rooms": 2.5,
  "street": "Ella-Kay-Straße",
  "houseNumber": "24",
  "postcode": "10405",
  "city": "Berlin",
  "quarter": "Prenzlauer Berg (Prenzlauer Berg)",
  "latitude": 52.53964,
  "longitude": 13.43045,
  "energyEfficiencyClass": "A+",
  "constructionYear": 2027,
  "builtInKitchen": false,
  "balcony": true,
  "lift": true,
  "cellar": true,
  "barrierFree": true,
  "commissionFree": true,
  "privateOffer": false,
  "agentCompany": "Ella Living GmbH & Co. KG",
  "contactName": "Thomas Brinktriene",
  "contactPhone": "0172 1880284",
  "tags": ["Nur hier gefunden", "Provisionsfrei für Kaufende", "Balkon/Terrasse", "Keller", "Aufzug", "Stufenlos"],
  "image": "https://pictures.immobilienscout24.de/listings/78327a38-...jpg/ORIG/legacy_thumbnail/800x600/format/webp/quality/50",
  "sourceUrl": "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-kaufen",
  "scrapedAt": "2026-08-26T18:04:21.007Z"
}

Input

{
  "startUrls": ["https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-kaufen"],
  "maxPagesPerUrl": 5,
  "maxItems": 1000
}

• immobilienscout24.de search URLs - build the search you want on immobilienscout24.de (city, price range, rooms, m2, any filter), then paste the URL from the address bar. One per line, as many as you want. Every filter is carried through, because the actor scrapes exactly the URL you gave it.
• Import URLs from a file - paste a whole list, or give a single link to a public .txt/.csv, a Google Sheet or Drive link, or an Apify key-value-store record. Blank lines and # comments are ignored. A file that cannot be read tells you so and charges nothing.
• Max pages per URL - 20 listings per page (default 10 pages).
• Max listings - overall cap across all URLs.
• Output fields - tick only the columns you want and every record is trimmed to exactly those, which keeps CSV and Google Sheets exports lean.

Leave everything empty and the run scrapes a small one-page sample search, so you can see the output shape before committing to a real job.

Which ImmoScout24 URLs work

Search type	URL pattern	Status
Apartments for sale	immobilienscout24.de/Suche/de/<state>/<city>/wohnung-kaufen	Validated
Apartments for rent	.../wohnung-mieten	Same embedded data model
Houses for sale / rent	.../haus-kaufen, .../haus-mieten	Same embedded data model
Any filtered search	the same paths with ImmoScout24's filter query parameters	Carried through verbatim

Pagination is automatic (?pagenumber=2, ?pagenumber=3, ...) up to your page limit, and the actor stops early on its own when the search's own result count is exhausted, so you never pay for a page of repeats. Rows are de-duplicated by listing URL across every start URL in the run.

Reliability

immobilienscout24.de is protected by enterprise anti-bot (AWS WAF) - plain scrapers get an HTTP 401 instead of listings. This actor routes every request through a premium unblocking layer that clears the challenge and returns the real page, then parses the site's own embedded result model (typed JSON, not brittle CSS selectors).

On top of that:

• Short-render detection. The unlocking layer occasionally returns a page whose listing area did not finish rendering. The actor reads each page's own result count and pagination block, refetches any page that falls short of what the search says it should hold (keeping the best of up to 3 fetches), and never mistakes a bad render for the end of the search. A page that stays short even after refetching is disclosed in the run's status message instead of being passed off as complete.
• Wall-clock budget. Long runs stop cleanly before the platform timeout, save everything collected up to that point, and say so in the run status instead of dying as TIMED-OUT.
• Every ending explains itself. A run that finds nothing tells you why - bad search URL, unreadable import file, or a fetch that failed - and bills $0.

What people use it for

• Comparables and valuations - pull every apartment in a Bezirk with pricePerSqm already computed.
• Rental yield analysis - scrape the same area twice, once -kaufen and once -mieten, and divide.
• Market monitoring - schedule a daily run per city and track price movements, new supply (publishedAt) and price edits (modifiedAt).
• Agent and lead intelligence - agentCompany, contactName and contactPhone give you who is listing what, at what volume, in any German market - with a direct line where the lister publishes one.
• Energy-renovation targeting - filter energyEfficiencyClass F/G/H stock for retrofit and financing leads.
• Mapping and territory analysis - latitude/longitude on every precisely-addressed listing.
• Feeding AI agents and data pipelines - see the MCP section below.

Honest limits

• The exact street address and coordinates appear only when the lister opts in (roughly 3 in 4 listings on our measured pages). postcode, city and quarter are always present.
• energyEfficiencyClass exists only where the listing carries an energy certificate - about half of stock in our measurement. That is the source's behaviour, not an extraction gap.
• totalRent is a rental-segment field and plotAreaSqm a house-segment field - they are null on other segments by design.
• contactPhone is the number the lister prints on the results card. Most professional listers publish one (90% measured); private listings may not.
• A page can rarely still come back short. A full results page holds 20 listings; the anti-bot layer sometimes serves a partial render. The actor detects that against the search's own count and refetches automatically; if a page stays short after all refetches, the run's status message says so rather than presenting the result as complete - and you are only billed for rows actually delivered.
• Runs are a little slower than an unprotected site, because every page goes through the unblocking layer.

Pricing

Pay per listing - you are charged only for listings actually written to the dataset. A run that finds nothing, or that cannot read your import file, costs $0. The rate covers the premium anti-bot unblocking that makes ImmoScout24 scrapable at all, and it drops automatically on higher Apify plans (tiered pay-per-event pricing).

Output views

• Listings - a table of title, price, living m2, rooms, city, EUR/m2 and the listing URL, ready to eyeball or export to CSV, Excel, JSON or Google Sheets. The full record with every field is always in the dataset behind it.

Use with AI assistants (MCP)

Available through the Apify MCP server, so an assistant or agent can pull live Germany property listings past ImmoScout24's anti-bot in a single call - compare prices per m2 across districts, watch a market for new supply, or enrich an address list without anyone touching a browser.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/immobilienscout24-scraper').call({
    "startUrls": [
        "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-kaufen"
    ],
    "maxPagesPerUrl": 1
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

More scrapers from scrapesage

Related Actors in the same category:

• Real Estate Scraper for Redfin - Listings, Sold Comps & Leads
• BizBuySell Scraper - Businesses For Sale & Broker Leads
• VivaReal & ZAP Imóveis Scraper - Brazil Real Estate
• PropertyGuru Scraper - Singapore Property & Agent Leads
• Airbnb Scraper & Market Monitor

FAQ

Do I need an ImmoScout24 account, API key or proxies? No. Everything needed to reach immobilienscout24.de is built in.

Can I scrape rentals as well as sales? Yes. wohnung-mieten and haus-mieten URLs work exactly like the -kaufen ones; price is then the base rent and totalRent fills where the listing publishes it.

How many listings will I get per search URL? Up to 20 per page. maxPagesPerUrl decides how deep to go, and maxItems caps the whole run. A Berlin apartment search reports 11,000+ listings across 570+ pages, so the depth is yours to choose. Short page renders are refetched automatically, and the status message tells you if any page stayed short. You only ever pay for the rows you actually receive.

Can I run it on a schedule? Yes - schedule the actor or any saved task in Apify and the results land in a dataset each time, ready for the API, a webhook, or an export to Sheets, S3 or your warehouse.

Does it open every listing's detail page? No. It reads ImmoScout24's search-results data model, which already carries everything in the field table above - that is what keeps it fast and cheap across thousands of listings.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by ImmobilienScout24, ImmoScout24 or Scout24 SE. All trademarks mentioned are the property of their respective owners. It collects only publicly available listing information and is intended for lawful research, market analysis and comparable-pricing use. You are responsible for how you use the data, including compliance with applicable law.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.