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from $0.89 / 1,000 listings

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ImmoScout24 Scraper: German Rentals and Homes for Sale

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Scrape immobilienscout24.de listings to rent or buy by German city or ImmoScout24 search link. Each row: rent or price, rooms, living space, address, coordinates, energy class, agency and its published phone, photos, description, costs, year built. Private sellers never get a phone. No login.

Pricing

from $0.89 / 1,000 listings

Rating

0.0

(0)

Developer

The Mine Works

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Why choose this actor?

Whole cities in about a minute. Our proof run returned every apartment to rent in Berlin and Hamburg, 5,136 listings, in 72 seconds, each with rent, rooms, living space, address, postcode, district, energy class and photo. It reads ImmoScout24's own app data, so there is no bot check to fight, no browser and no ImmoScout24 account.
The agency and the phone it publishes. With the listing page on (the default) every row adds the agency, the contact person, the phone number the agency publishes on the listing or in its imprint, the description, warm rent with service and heating costs, or commission and Hausgeld for sales, bedrooms, bathrooms, floor, year built, heating and the energy certificate. Private sellers get their name as shown and never a phone number.
You pay only for listings you get. One charge per listing saved to your dataset, plus a flat start fee per run. Places that do not resolve cost nothing, a listing found twice is delivered once, and on a schedule "Only listings not delivered before" returns and charges only new ones.

Part of The Mine Works Real estate family: Zillow Rentals Scraper, Zillow Sold Comps Scraper, India Real Estate MCP, Housing.com Scraper, 99acres Scraper, MagicBricks Scraper.

Try it in one minute

Paste this input and press Start. It returns the 20 newest apartments to rent in Berlin, each with the agency, its phone and the full description, in about 6 seconds:

{
  "locations": ["Berlin"],
  "listingType": "rent",
  "maxListingsPerSearch": 20
}

You can tell the actor what to read in two plain forms, and mix them in one run:

Places in Germany (locations): a city (Berlin, München, Köln), or a district or quarter as ImmoScout24 names it (München Bogenhausen, Berlin Kreuzberg, Hamburg Altona-Altstadt), looked up with ImmoScout24's own place finder; the run summary names the place that was used. Each place is searched with the filters of the input: listingType, propertyType, minPrice, maxPrice, minRooms, maxRooms, minSize, maxSize and sortBy.
ImmoScout24 links (startUrls): search pages from immobilienscout24.de such as https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?price=-1200.0&numberofrooms=2.0-, read with every filter in the link, and listing pages such as https://www.immobilienscout24.de/expose/168986451.

Apify's free plan includes $5 of credit every month, which covers about 3,200 results at this actor's price.

Copy to your AI assistant

themineworks/immobilienscout24-scraper on Apify. Returns public ImmoScout24 (immobilienscout24.de, Germany) listings to rent or to buy, from German place names with filters or from ImmoScout24 search links, plus single listing links, one row per listing with listing_id, url, title (original German), listing_type, property_type, real_estate_type, price (cold rent per month or purchase price, EUR), price_label, price_per_sqm, size_sqm, rooms, display_address, street when published, postcode, city, district, latitude, longitude, energy_rating, published_text, listed_at_approx, is_private_seller, images; with includeDetails (on by default) also agency_name, agent_name, agency_phone (never for private sellers, who get seller_name as shown), agency_address, agency_rating, description, location_description, total_rent, service_charge, heating_costs, deposit, commission, maintenance_fee, bedrooms, bathrooms, floor, available_from, construction_year, condition, heating_type, energy_demand, features and floorplans. Call ApifyClient("TOKEN").actor("themineworks/immobilienscout24-scraper").call(run_input={"locations": ["Hamburg"], "listingType": "rent", "maxListingsPerSearch": 100}), then client.dataset(run["defaultDatasetId"]).list_items().items. Required: nothing (an empty input searches Berlin); normally locations (German places) and/or startUrls (immobilienscout24.de search or expose links). Optional: listingType ("rent" or "sale", default rent), propertyType ("apartment" or "house", default apartment), minPrice, maxPrice (EUR, cold rent per month for rents), minRooms, maxRooms (2.5 allowed), minSize, maxSize (m2), sortBy ("newest", "price_low", "price_high", "size_high"), maxListingsPerSearch (20 to 5,000, default 100), includeDetails (default true), onlyNewListings (default false). Skip rows that have "_type". Full spec: GET https://api.apify.com/v2/acts/themineworks~immobilienscout24-scraper/builds/default (Bearer TOKEN), which returns inputSchema and readme. Token: https://console.apify.com/account/integrations?fpr=ymnoit&utm_source=apify-readme&utm_medium=referral

Key features

Up to 36 fields from the search, up to 63 with the listing page: price as a number and as shown, price per m2, living space, rooms, address with street when published, postcode, city, district, coordinates, energy class, how long the listing has been online and an approximate date, private or business advertiser, new build, project, listing size (S to XL), photos and the agency logo; the listing page adds agency, contact person, phone, address, rating and profile, original title, description, location text, warm rent, service and heating costs, deposit, commission, Hausgeld, bedrooms, bathrooms, floor, usable area, plot area, vacancy date, year built, last modernisation, condition, interior quality, heating, energy sources, energy demand, ticked features (balcony, lift, fitted kitchen, cellar) and floor plans.
Deep searches: up to 5,000 listings per place or link, 50 a page. Our proof run read all 86 pages of Berlin's 4,262 rentals.
Filters as on the site: to rent or to buy, apartment or house, price, rooms (German count, 2.5 allowed), living space and four sort orders. Any other filter you set on immobilienscout24.de (balcony, year built, energy class) comes in through a pasted search link.
Privacy by design: a private seller's phone number is never returned, not even when ImmoScout24 shows it; the row says is_private_seller: true and gives the name exactly as shown.
Only new listings for schedules: remembers up to 50,000 listings per input in a key-value store in your account. With the newest first sort a repeat run stops at the first page with nothing new.
No browser, no login, no bot wall: plain requests to the mobile app data ImmoScout24's own iPhone and Android apps read, over Apify's datacenter proxy, which the run includes. Memory 256 MB.

How to use it

Basic: one city, to rent

{
  "locations": ["Hamburg"],
  "listingType": "rent",
  "maxListingsPerSearch": 100
}

Several cities at once

Each place is its own search of up to maxListingsPerSearch listings, and three run at a time. This is the input of our 5,136 listing proof run (search fields only, so it runs fast):

{
  "locations": ["Berlin", "Hamburg"],
  "listingType": "rent",
  "maxListingsPerSearch": 5000,
  "includeDetails": false
}

Relocation and rental services: new flats every hour

Watch the districts your clients want and get only flats listed since the last run, with the agency phone and warm rent on each row. Save the input as a task and add an hourly schedule in Apify Console (Schedules, Add schedule). A quiet hour reads one page per district and costs the start fee.

{
  "locations": ["Berlin Prenzlauer Berg", "Berlin Friedrichshain", "Berlin Kreuzberg"],
  "listingType": "rent",
  "maxPrice": 1600,
  "minRooms": 2,
  "sortBy": "newest",
  "maxListingsPerSearch": 100,
  "onlyNewListings": true
}

Investors and agents: apartments for sale with the full listing

Price per m2 as ImmoScout24 shows it, Hausgeld, commission, year built, condition and energy certificate for a shortlist.

{
  "locations": ["Leipzig", "Dresden"],
  "listingType": "sale",
  "propertyType": "apartment",
  "maxPrice": 300000,
  "minSize": 50,
  "maxListingsPerSearch": 200
}

Any filter from the website

Set the filters on immobilienscout24.de (balcony, year built, energy class and so on), copy the link from the address bar and paste it. Filters in the link are kept.

{
  "startUrls": [
    "https://www.immobilienscout24.de/Suche/de/bayern/muenchen/wohnung-kaufen?price=-600000.0&numberofrooms=2.0-",
    "https://www.immobilienscout24.de/expose/168986451"
  ],
  "maxListingsPerSearch": 300
}

Input parameters

Parameter	Type	Default	What it does
`locations`	array of strings	none (prefilled with `Berlin`)	Places in Germany: city, district or quarter. When places and links are both left out, the run searches Berlin.
`startUrls`	array of strings	empty	immobilienscout24.de search links (filters in the link are kept) and listing (expose) links.
`listingType`	string	`rent`	`rent` or `sale`, for places.
`propertyType`	string	`apartment`	`apartment` (Wohnung) or `house` (Haus), for places.
`minPrice`	integer	none	Lowest price in EUR; for rents the cold rent per month.
`maxPrice`	integer	none	Highest price in EUR; for rents the cold rent per month.
`minRooms`	number	none	Fewest rooms (German count, 2.5 allowed).
`maxRooms`	number	none	Most rooms.
`minSize`	integer	none	Smallest living space in m2.
`maxSize`	integer	none	Largest living space in m2.
`sortBy`	string	`newest`	`newest`, `price_low`, `price_high` or `size_high`.
`maxListingsPerSearch`	integer	100	Listings per place or search link, 20 to 5,000.
`includeDetails`	boolean	`true`	Read each listing page for the agency, phone, description and costs, at the same price per listing.
`onlyNewListings`	boolean	`false`	Skip, and do not charge for, listings an earlier run with the same input delivered.

The filters apply to places only; a search link keeps its own. Only immobilienscout24.de (Germany) is covered; links to the Austrian and Swiss sites are skipped with a note in the log.

What data do you get?

One row per listing. A field with no value is left out of that row rather than sent empty.

The listing: listing_id (the Scout-ID), url, title (the advertiser's original German title), listing_type (rent or sale), property_type (apartment, house), real_estate_type, property_subtype, listing_tier, is_new_build, is_project, tags, images, image_count, floorplans, has_video.
Price: price (cold rent per month for rents, purchase price for sales), currency, price_label, price_kind, price_per_sqm; with the listing page total_rent (warm rent), service_charge, heating_costs, deposit, commission, maintenance_fee (Hausgeld).
Size and rooms: size_sqm (living space), rooms; with the listing page bedrooms, bathrooms, usable_area_sqm, plot_area_sqm, floor, total_floors.
Where: display_address, address_hidden, street (when the advertiser publishes it), postcode, city, district, latitude, longitude, and with the listing page state.
When: published_text (how long the listing has been online, as ImmoScout24 says it, for example vor 2 Stunden), listed_at_approx (an approximate ISO time worked out from it), and with the listing page available_from.
Building and energy: energy_rating (A+ to H); with the listing page construction_year, last_modernisation, condition, interior_quality, heating_type, energy_sources, energy_certificate_type, energy_certificate, energy_demand, parking, features (balcony, lift, fitted kitchen, cellar and more).
The advertiser: is_private_seller, agency_logo; with the listing page agency_name, agent_name, agency_phone (the number the agency publishes on the listing, or its imprint phone when the listing shows none), agency_address, agency_rating, agency_profile_url, and for private sellers seller_name exactly as shown and no phone.
Text (listing page): description, location_description, equipment_description, other_notes.
Where the row came from: details_included, rank, search_input, search_url, scraped_at.

Stable fields for automations

These fields were present in every row of our proof runs (5,257 rows, with and without the listing page), and their names will not change:

Field	What it holds
`listing_id`	ImmoScout24's Scout-ID, stable across runs; use it to dedupe
`url`	Link to the listing
`title`	Listing title as the advertiser wrote it
`listing_type`	`rent` or `sale`
`property_type`	`apartment` or `house`
`real_estate_type`	ImmoScout24's own type, for example apartmentrent
`price_kind`	What `price` means: cold rent per month or purchase price
`currency`	EUR
`size_sqm`	Living space in m2
`rooms`	Number of rooms
`display_address`	Address as published
`postcode`	Postcode
`city`	City
`district`	District or quarter
`is_private_seller`	True for private advertisers

price and price_label were present in every row but one, a listing that showed no price in the search results. When an advertiser writes "On request", price_label says so and price is left out.

Output examples

Real rows from our proof runs on 6 October 2026, shortened: lists cut to their first items, long text cut with ..., and the advertiser's free-text notes left out.

A rental from a place search, listing page off (Berlin, includeDetails: false):

{
  "listing_id": "171537045",
  "url": "https://www.immobilienscout24.de/expose/171537045",
  "title": "Familienfreundliche 4-Zimmer-Wohnung mit zwei Balkonen, EBK",
  "listing_type": "rent",
  "property_type": "apartment",
  "real_estate_type": "apartmentrent",
  "price": 1627,
  "currency": "EUR",
  "price_label": "1.627 €",
  "price_kind": "cold rent per month",
  "price_per_sqm": 18.08,
  "size_sqm": 90,
  "rooms": 4,
  "display_address": "Alte Kaulsdorfer Straße 25A, 12555 Berlin, Köpenick",
  "address_hidden": false,
  "street": "Alte Kaulsdorfer Straße 25A",
  "postcode": "12555",
  "city": "Berlin",
  "district": "Köpenick",
  "latitude": 52.45991,
  "longitude": 13.57922,
  "energy_rating": "B",
  "published_text": "vor 2 Stunden",
  "listed_at_approx": "2026-10-05T20:09:09.934Z",
  "is_private_seller": false,
  "is_new_build": false,
  "is_project": false,
  "listing_tier": "S",
  "tags": [],
  "images": [
    "https://pictures.immobilienscout24.de/listings/2a919505-b333-4c97-821f-4db044b12f95-2107236416.jpg/ORIG/legacy_thumbnail/1280x960/format/webp/quality/80"
  ],
  "image_count": 1,
  "agency_logo": "https://pictures.immobilienscout24.de/usercontent/8d5f23e8-bdd7-4870-8dd1-ed753dabf6df.JPG/ORIG/resize/300x200%3E/format/webp/quality/80",
  "details_included": false,
  "rank": 4,
  "search_input": "Berlin",
  "search_url": "https://www.immobilienscout24.de/Suche/de/berlin/berlin/wohnung-mieten?sorting=-firstactivation",
  "scraped_at": "2026-10-05T22:09:09.934Z"
}

An apartment for sale with the listing page (München, the default; the advertiser shows postcode and district only):

{
  "listing_id": "171528985",
  "url": "https://www.immobilienscout24.de/expose/171528985",
  "title": "2-Zimmer-Wohnung mit Südterrasse und ca. 33 qm Hobbybereich",
  "listing_type": "sale",
  "property_type": "apartment",
  "real_estate_type": "apartmentbuy",
  "price": 559000,
  "currency": "EUR",
  "price_label": "€559,000",
  "price_kind": "purchase price",
  "price_per_sqm": 7658,
  "size_sqm": 73,
  "rooms": 2,
  "display_address": "80689 Blumenau, München",
  "address_hidden": true,
  "postcode": "80689",
  "city": "München",
  "district": "Blumenau",
  "energy_rating": "F",
  "published_text": "vor 7 Stunden",
  "listed_at_approx": "2026-10-05T15:12:14.107Z",
  "is_private_seller": false,
  "is_new_build": false,
  "is_project": false,
  "listing_tier": "L",
  "tags": [],
  "images": [
    "https://pictures.immobilienscout24.de/listings/e98eb2ee-d682-451f-91aa-895790f18694-2107061993.jpg/ORIG/resize/1500x1000/format/webp/quality/80",
    "https://pictures.immobilienscout24.de/listings/94e1ef70-d48c-4ad5-b7bd-d977c5d7f1b1-2107062001.jpg/ORIG/resize/1500x1000/format/webp/quality/80",
    "..."
  ],
  "image_count": 8,
  "agency_logo": "https://pictures.immobilienscout24.de/usercontent/ee4efd7d-de41-48bf-a183-7f521d47f31c.PNG/ORIG/resize/300x200%3E/format/webp/quality/80",
  "details_included": true,
  "rank": 14,
  "search_input": "München",
  "search_url": "https://www.immobilienscout24.de/Suche/de/bayern/muenchen/wohnung-kaufen?sorting=-firstactivation",
  "scraped_at": "2026-10-05T22:12:14.107Z",
  "maintenance_fee": 390,
  "commission": "3,57 % inkl. ges. MwSt.",
  "property_subtype": "Ground floor",
  "usable_area_sqm": 33,
  "bedrooms": 1,
  "bathrooms": 2,
  "available_from": "sofort",
  "construction_year": 1974,
  "condition": "Well-kept",
  "interior_quality": "Normal",
  "heating_type": "Central heating",
  "energy_sources": "Oil",
  "energy_certificate_type": "Energy consumption",
  "energy_certificate": "available",
  "energy_demand": "174.8 kWh/(m²∙a)",
  "features": [
    "Balcony/Terrace",
    "Garden/Garden use",
    "Guest toilet",
    "Fitted kitchen"
  ],
  "description": "Diese 2 Zimmer-Terrassen-Wohnung befindet sich im Erdgeschoss eines kleinen vier Familienhauses in Kleinhadern und überzeugt durch eine großzügige Raumaufteilung, helle Räume sowie den direkten ...",
  "location_description": "Kleinhadern zählt zu den angenehm gewachsenen Wohnlagen im Münchner Südwesten. Das direkte Umfeld ist von Ein- und Zweifamilienhäusern, gepflegten Gärten und einer aufgelockerten Bebauung geprägt. ...",
  "state": "Bayern",
  "floorplans": [],
  "has_video": false,
  "agency_name": "GARANT Immobilien München GmbH",
  "agent_name": "GARANT Immobilien Büro München",
  "agency_phone": "089 7874790",
  "agency_address": "Kistlerhofstraße 170, 81379 München",
  "agency_rating": 3.8,
  "agency_profile_url": "https://www.immobilienscout24.de/anbieter/garant-immobilien-muenchen-gmbh/acb3ad68d921302a5fa9b8c"
}

Another sale with the listing page (Köln):

{
  "listing_id": "171525405",
  "url": "https://www.immobilienscout24.de/expose/171525405",
  "title": "Erbbaurecht! Bezugsfreie, moderne, lichtdurchflutete 2-Zimmer ETW mit Balkon & TG-Stellplatz",
  "listing_type": "sale",
  "property_type": "apartment",
  "real_estate_type": "apartmentbuy",
  "price": 279000,
  "currency": "EUR",
  "price_label": "€279,000",
  "price_kind": "purchase price",
  "price_per_sqm": 4650,
  "size_sqm": 60,
  "rooms": 2,
  "display_address": "51107 Ostheim, Köln",
  "address_hidden": true,
  "postcode": "51107",
  "city": "Köln",
  "district": "Ostheim",
  "energy_rating": "B",
  "published_text": "vor 9 Stunden",
  "listed_at_approx": "2026-10-05T13:12:09.697Z",
  "is_private_seller": false,
  "is_new_build": false,
  "is_project": false,
  "listing_tier": "L",
  "tags": [],
  "images": [
    "https://pictures.immobilienscout24.de/listings/ee7c8524-77d6-4aeb-85e5-711bd8c6fbfb-2106977986.jpg/ORIG/resize/1500x1000/format/webp/quality/80",
    "https://pictures.immobilienscout24.de/listings/1c17f806-dece-4edd-9575-1890cb4db957-2106977998.jpg/ORIG/resize/1500x1000/format/webp/quality/80",
    "..."
  ],
  "image_count": 14,
  "agency_logo": "https://pictures.immobilienscout24.de/usercontent/f0ddfd30-5681-460d-9509-88b51b1d6f2d.PNG/ORIG/resize/300x200%3E/format/webp/quality/80",
  "details_included": true,
  "rank": 9,
  "search_input": "Köln",
  "search_url": "https://www.immobilienscout24.de/Suche/de/nordrhein-westfalen/koeln/wohnung-kaufen?sorting=-firstactivation",
  "scraped_at": "2026-10-05T22:12:09.697Z",
  "commission": "3,57 %",
  "bedrooms": 1,
  "bathrooms": 1,
  "floor": "2 of 4",
  "available_from": "ab sofort",
  "construction_year": 2016,
  "condition": "Well-kept",
  "interior_quality": "Sophisticated",
  "heating_type": "District heating",
  "energy_sources": "District heat",
  "energy_certificate_type": "Energy consumption",
  "energy_certificate": "available",
  "energy_demand": "66 kWh/(m²∙a)",
  "parking": "Garage",
  "features": [
    "Elevator",
    "Balcony/Terrace",
    "Cellar"
  ],
  "description": "Objektnr: 1072951 \n\nDie 2-Zimmer-Eigentumswohnung befindet sich im 2. Obergeschoss einer modernen Wohnanlage im Waldbadviertel in Köln-Ostheim und bietet auf ...",
  "location_description": "Lage: Attraktive urbane Lage bietet große Vielfalt für Kulturbegeisterte und kurze Wege\nBildung und Betreuung: In max. 15 Fahrradminuten Schule und ...",
  "state": "Nordrhein-Westfalen",
  "floorplans": [
    "https://pictures.immobilienscout24.de/listings/a243666b-e264-489b-8ad7-534b7d3146d3-2106978081.png/ORIG/resize/1500x1000/format/webp/quality/80"
  ],
  "has_video": false,
  "agency_name": "McMakler GmbH",
  "agent_name": "Ihr McMakler Team",
  "agency_phone": "+49 800 5008002",
  "agency_address": "Am Postbahnhof 17, 10243 Berlin",
  "agency_rating": 4.1,
  "agency_profile_url": "https://www.immobilienscout24.de/anbieter/mcmakler-gmbh/aa688f5e65e420e5888efe4"
}

Pricing

Pay per event: you pay for each listing delivered to your dataset, plus a flat $0.005 per run, whatever memory you choose. Prices by Apify plan:

Event	Free plan	Bronze (Starter)	Silver (Scale)	Gold and above (Business)
Listing delivered (`listing-scraped`), per 1,000	$1.49	$1.29	$1.09	$0.89
Run start (`run-start`), once per run	$0.005	$0.005	$0.005	$0.005

The listing page (agency, phone, description, costs) comes at the same price per listing; there is no separate details or phone fee. It makes the run slower (one extra request per listing), not dearer.

What is never charged:

Places ImmoScout24 has no location for, and searches with no listings.
Pages ImmoScout24 refused, even after retries on a new connection.
The same listing found by two places or links: the second copy is skipped.
Listings an earlier run already delivered, when Only listings not delivered before is on.
Listing links whose listing has been taken down.
The information row in the dataset (it has a _type field).

Proxy traffic goes through Apify's datacenter proxy, which is included in the price; there is no separate proxy fee.

FAQ

What does this actor read? Public ImmoScout24 listings in Germany, logged out, the way any visitor of the ImmoScout24 app sees them: search results and each listing page. It asks ImmoScout24 for the same data its own iPhone and Android apps load. It does not use an ImmoScout24 account, a Plus membership or your cookies.

How many listings can I get? Up to 5,000 per place or search link, 50 a page. Our proof run read every apartment to rent in Berlin (4,262) and Hamburg (874) in 72 seconds. For more, split a region into its cities or districts.

Why does the website show a robot check but this works? The website asks datacenter visitors to prove they are human. The app data this actor reads is a different door to the same listings, and it answered every request of our proof runs except three, which were asked again on a new connection and then answered.

Do I get the agency's phone number? Yes, with the listing page on (the default): the number the agency publishes on the listing, or the phone in its legal imprint when the listing shows none. In our details proof run 87% of rows had one; the rest were private sellers or agencies that publish no number. A private seller's phone number is never returned, even when ImmoScout24 shows it; the row says is_private_seller: true and gives the name exactly as shown in seller_name.

Why do some listings have no street or coordinates? Advertisers can hide the exact address until you contact them. The row then keeps the postcode, city and district, sets address_hidden: true and leaves the street and coordinates out. In our Berlin and Hamburg run 79% of listings had a published address.

What date is the listing from? ImmoScout24 shows how long a listing has been online ("vor 2 Stunden", "vor 3 Tagen", "vor einem Monat"). The actor keeps that text in published_text and works out an approximate time in listed_at_approx, exact to the hour for new listings and to the month for old ones.

Is the price cold or warm rent? price is the cold rent per month (Kaltmiete) for rents, as ImmoScout24 lists it, and the purchase price for sales. With the listing page you also get total_rent (warm rent), service_charge and heating_costs.

Do I need an ImmoScout24 account, cookies or a proxy of my own? No. Nothing to log in to and nothing to set up. The actor uses Apify's datacenter proxy, which the run includes.

Can I run it on a schedule and get only new listings? Yes. Turn on onlyNewListings, keep sortBy at newest and add a schedule in Console (Schedules, Add schedule, hourly or daily). Each run delivers and charges only listings no earlier run with the same input delivered, and stops reading a search at the first page with nothing new. In our test the second run of the same Leipzig search skipped the 20 listings of the first and delivered 20 others.

Does it cover Austria and Switzerland? No, only immobilienscout24.de (Germany). Links to immobilienscout24.at and immoscout24.ch are skipped with a note in the log.

What formats can I export? JSON, CSV, Excel, XML, RSS and HTML from the dataset tab, or through the API. In CSV and Excel, lists such as images and features are spread over numbered columns (images/0, images/1).

Can I use it from Claude, ChatGPT or Cursor (MCP)? Yes, through Apify's MCP server.

Connector URL: https://mcp.apify.com/?tools=themineworks/immobilienscout24-scraper
Claude: Settings > Connectors > Add custom connector, paste the URL, sign in with Apify.
ChatGPT: developer mode, add an MCP connector with the URL, sign in with Apify.
Cursor or VS Code: add it as an HTTP MCP server with that URL.
Claude Code: claude mcp add -t http immobilienscout24-scraper "https://mcp.apify.com/?tools=themineworks/immobilienscout24-scraper"

Is it legal to scrape ImmoScout24? The actor reads only public listings and returns what any visitor of the app can see, and it never returns a private seller's phone number. You are responsible for how you use the data, including ImmoScout24's terms and data protection law such as GDPR and CCPA.

Integrations

Google Sheets: add the Google Sheets integration to the actor or a schedule, and new listings land in a sheet after each run.
Make, Zapier and n8n: use the Apify app to start a run and read the dataset, for example to send new flats in your districts to Slack, Telegram or a CRM.
Webhooks: call your own endpoint when a run finishes.
API: start runs and read results from any language; the Python and JavaScript clients are a few lines each.
MCP clients: Claude, ChatGPT, Cursor, VS Code and Claude Code, as in the FAQ above.

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Support

Found a place, link or field that does not come through? Open an issue on the Issues tab and include the input you used; we answer there. For a new site or source, email dmineworks@gmail.com.

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