# ImmobilienScout24 Scraper: German Property Listings > ImmobilienScout24 scraper: get listings by city, region, postcode or search link. Price, area, rooms, address and realtor company. No login. URL: https://cliqtomedia.com/actors/immobilienscout24-scraper/ Category: Real estate, travel & cars · Status: live on Apify Store · Apify page: https://apify.com/cliqtomedia/immobilienscout24-scraper?fpr=cliqto Get public ImmobilienScout24 listings for German property research. Search by place or radius, or paste search links. You get one row per listing with price, area, rooms and address. ## How to use it: 3 steps 1. **Make a free Apify account.** Apify is the cloud platform where our tools run. The free plan gives you $5 of usage every month, no credit card needed. You pay Apify, not us. 2. **Paste your input and press Start.** No code needed: you fill in a form (the input). It already has a working example. For example: `Berlin` in Location. Each start is one run. 3. **Download the results.** When the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too. ## What it does Export property listings from [ImmobilienScout24](https://www.immobilienscout24.de/), also called ImmoScout24, for German market research: give a city, region, postcode or search link, and get price, area, rooms, address and realtor company for each listing. No login or API key is needed, and a run with 10 rows costs about $0.011. ### Good for - You invest in German property and want to compare asking prices and rent per square metre. - You track new listings in a city and want only the new ones each day. - You need listing data in a spreadsheet, a database or your own tools. ## Price Pay per event. Apify bills you, not us. | What you pay for | Price | When | |---|---|---| | Start fee | $0.001 | Charged once per run. This tool uses 1 GB of memory or less by default; more memory costs more. | | Listing with full details | $0.00099 (from $0.00069 on paid Apify plans) | Charged for each saved listing row with full details. | | Listing | $0.0005 (from $0.00035 on paid Apify plans) | Charged for each saved listing row with search fields only. | | Check without a paid row | $0.00005 | Charged for each read that gives no paid row: an empty search, a listing that is gone, or a search page with nothing new. The first read in a run is free. | - One result: about $0.002. - 1,000 results: about $0.99. - Every day 100 results, for 30 days: about $3.00 a month. Free to try: the Apify free plan gives you $5 of usage every month, no credit card needed. Prices checked on 8 November 2026. Current price: https://apify.com/cliqtomedia/immobilienscout24-scraper?fpr=cliqto ## Questions ### Do I need an ImmobilienScout24 account or a key? No. The Actor reads public listings and does not log in. ### Does the data include phone numbers or emails? No. You get the realtor company name. Private sellers are marked and their names are not collected. ### Why is price lower than the rent I see elsewhere? For rent, price is the cold rent. totalRent includes costs when the listing gives them. ### Do I need a proxy? No. Normal runs do not use one, and the proxy field is there only if you want it. ### Do I get all listings in Germany? You get up to 10,000 rows per run, and only those that the source shows. Split big areas by region, or use `skipItems`. ### How fresh is the data? Each row is read during the run, and `fetchedAt` gives the time. Sort `newest` shows the latest listings first. ### Does a run with no results cost money? It costs the start fee. See Pricing. ### How does `onlyNew` remember listings? It keeps a history in a named store in your Apify account. Without `stateName`, each search has its own history. The first run counts all rows as new, and you pay for them. ## Data fields - `exposeId` (string): Listing ID on ImmobilienScout24. - `url` (string): Link to the public listing page. - `title` (string): Listing title as written by the advertiser. - `price` (number): Main price in EUR, in the unit given by priceUnit. Null when the source shows none. - `priceText` (string): Price as the source shows it, for example "1.750 €". - `priceUnit` (string): What price stands for: total (sale price or auction value), month, day, year, or sqm (monthly rent per square metre, common for offices and retail). Null when the source shows no price. - `currency` (string): Currency of the price. - `pricePerSqm` (number): Price per square metre of living or usable area, or of land for plots. Null for day and year prices and when the area is unknown. - `livingSpace` (number): Living area in m². - `rooms` (number): Number of rooms. - `address` (string): Address as public on the listing. Often only postcode and district. - `latitude` (number): Latitude when the source shows it. - `longitude` (number): Longitude when the source shows it. - `realtor` (string): Realtor company. Needs full details. Null for private advertisers. - `realtorLogoUrl` (string): Logo of the realtor company. - `isPrivate` (boolean): True when a private person placed the listing. Their name is never collected. - `operation` (string): rent or buy. For offices, retail, gastronomy and industry it is read from each listing, because the source mixes both there. Null when the listing does not say. - `propertyType` (string): Property type, for example apartment. - `realEstateType` (string): Source type code, for example apartmentrent. - `isNewBuildProject` (boolean): True for a new-build developer project. - `isNewObject` (boolean): True when the source marks the listing as new. - `energyEfficiencyClass` (string): Energy efficiency class, A+ to H. - `fairPrice` (string): Price rating from the source. - `publishedText` (string): Age of the listing as the source words it, for example "vor 2 Minuten". - `tags` (array): Short tags from the source. - `imageUrl` (string): Main picture. - `images` (array): Picture links. - `description` (string): Listing text. Phone numbers and email addresses are removed. Needs full details. - `postcode` (string): Postcode. - `city` (string): City or town. In Berlin, Hamburg and other big cities this is the city itself, and the part of town is in district. - `district` (string): Part of town or county district, as the source names it. Null when the source gives none. - `state` (string): German federal state. - `street` (string): Street, when the advertiser made it public. - `baseRent` (number): Cold rent in EUR. - `serviceCharge` (number): Service charge in EUR. - `heatingCosts` (number): Heating costs in EUR. - `totalRent` (number): Total rent in EUR. - `deposit` (string): Deposit as the source words it. - `yearBuilt` (number): Construction year. - `floor` (number): Floor. ## Input settings - `location` (string): City, region or 5-digit postcode in Germany, for example Berlin, Bayern or 10115. Use this, a radius, or search links. - `operation` (string): Whether to search listings for rent or for sale. Offices, retail, gastronomy and industry ignore this choice: the source mixes rent and sale there, and the operation field of each row tells which it is. - `propertyType` (string): What kind of property to search. Not every type exists for both rent and buy: auctions and investment are buy only. - `searchUrls` (array): Up to 100 links from immobilienscout24.de: a /Suche/... search or an /expose/ listing. Filters below do not change a link: it keeps its own filters. Map-drawn areas are not supported. - `maxItems` (integer): Stop after this many rows. Each search returns the newest listings first by default. - `fetchDetails` (boolean): On: open each listing for rent breakdown, year built, floor, description, images and realtor company. Off: search-page fields only, faster and cheaper, with no realtor company. - `onlyNew` (boolean): Return only listings not returned by an earlier run of the same search. The first run returns everything up to the limit. - `detectPriceChanges` (boolean): With "Only new listings": also return known listings whose search price changed, with the old price. - `detectRemovedListings` (boolean): With "Only new listings": also return known listings that left the search. Reported only after a full walk of the search, so keep the limit above the search size. - `stateName` (string): Optional name of the history of seen listings. Runs with the same name share it. Leave empty to keep one history per search. Lowercase letters, digits and hyphens, up to 31 characters. - `minPrice` (number): Lowest price. For rent this is the monthly cold rent. Filters work with "Location" and radius, not with links. - `maxPrice` (number): Highest price. - `minRooms` (number): Fewest rooms, for apartments, houses and short-term stays. - `maxRooms` (number): Most rooms. - `minLivingSpace` (number): Smallest area. Living area for homes, floor area for commercial types, plot area for plots. - `maxLivingSpace` (number): Largest area. - `minYearBuilt` (integer): Earliest construction year, for apartments and houses. - `maxYearBuilt` (integer): Latest construction year. - `minFloor` (integer): Lowest floor, for apartments only. - `maxFloor` (integer): Highest floor. - `equipment` (array): Keep only listings with all selected features. An option the chosen property type does not support stops the run with a clear message. - `apartmentTypes` (array): Keep only these apartment types, for apartments only. - `energyEfficiencyClasses` (array): Keep only these energy efficiency classes. - `excludeNewBuildProjects` (boolean): Leave out new-build developer projects, for apartments and houses for sale, and apartments for rent. - `radiusKm` (number): Search around a point instead of a location. Needs latitude and longitude too. ## Step by step on Apify 1. Open the Input tab. `location` is set to Berlin and `operation` is set to rent (box 1). 2. Keep `maxItems` at 10 (box 2). 3. Click Start. 4. Open Output and check `price`, `rooms` and `livingSpace` (box 4). 5. Check `address` and `realtor` (box 5). ## Use cases | Task | Input | You get | Key fields | Next step | |---|---|---|---|---| | Compare rent levels between German cities | `location` with `operation` rent | One row per listing | `price`, `totalRent`, `pricePerSqm`, `livingSpace`, `postcode` | Spreadsheet or BI tool | | Find investment property for sale | `location` with `operation` buy, `propertyType` apartment, house or investment | One row per listing | `price`, `pricePerSqm`, `yearBuilt`, `energyEfficiencyClass`, `url` | Your deal list or CRM | | Watch a search for new listings and price cuts | `location` or `searchUrls`, `onlyNew`, `detectPriceChanges` | New and changed rows | `changeType`, `previousPrice`, `price`, `firstSeenAt` | Slack, Notion or a webhook | | Map which realtor companies work in an area | `location` with a high `maxItems` | One row per listing | `realtor`, `city`, `district`, `operation` | Market report | | Refresh a list of known listings | `searchUrls` with listing links | One row per link | `exposeId`, `price`, `status`, `fetchedAt` | Your database | ## Tips - Keep maxItems at 10 for a first run. - Use filter fields with a place and radius. With links, put the filters in the link. - Turn on onlyNew to get just the new listings on each run. ## Limits - Germany only. The source's other country sites are not covered. - Up to 10,000 rows per run. We tested this limit. A bigger area can have more listings, for example about 89,000 rental apartments in Germany. Split it by region or use `skipItems`. - Up to 100 links in `searchUrls` per run. - The default run timeout of 300 seconds is enough for about 2,000 rows with details. A run of 10,000 rows took about 14 minutes, so set a timeout of 1,200 seconds for it. When time runs out, the run keeps its rows and ends with `reason` `DEADLINE`. - Filter fields work with `location` and radius, not with links. Put filters in the link itself. - Search links with map-drawn areas are not supported. Use a place or a radius. - Offices, retail, gastronomy and industry cannot be filtered by rent or buy, because the source mixes them. - `realtor` needs full details. With `fetchDetails` off it is null. ## Sample result ```json { "exposeId": "172422033", "url": "https://www.immobilienscout24.de/expose/172422033", "title": "4-Zimmer-Wohnung in Mitte", "price": 852, "priceUnit": "month", "currency": "EUR", "pricePerSqm": 9.88, "totalRent": 1137.67, "livingSpace": 86.2, "rooms": 4, "address": "Rosenthaler Straße 11, 10119 Berlin, Mitte", "realtor": "WBM Wohnungsbaugesellschaft Berlin-Mitte mbH", "isPrivate": false, "operation": "rent", "propertyType": "apartment", "energyEfficiencyClass": "B", "status": "complete", "source": "immobilienscout24.de", "fetchedAt": "2026-11-06T10:12:00.000Z" } ``` ## Use it from code Actor ID: `cliqtomedia/immobilienscout24-scraper` ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("cliqtomedia/immobilienscout24-scraper").call(run_input={ "location": "Berlin", "operation": "rent" }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ```bash curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~immobilienscout24-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"location": "Berlin", "operation": "rent"}' ``` ```python # pip install langchain-apify # set APIFY_TOKEN in your environment from langchain_apify import ApifyActorsTool tool = ApifyActorsTool("cliqtomedia/immobilienscout24-scraper") result = tool.invoke({"run_input": {"location": "Berlin", "operation": "rent"}}) print(result) ``` run-sync waits up to 300 seconds; for longer runs start a run and use a webhook. 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