ImmoScout24 Scraper 🛍️ — Scrape ImmoScout24.com ID, Title, Listing URL, Real estate type

ImmoScout24 Scraper — Scrape ImmoScout24 real-estate listings (Germany) via the app's private mobile API: search by a human location string with filters, get full listing details incl. all images, facts, agent & contact. It reads ImmoScout24's own API directly, so it's fast, reliable and complete — no flaky HTML parsing, no headless browser. Export to JSON, CSV, Excel, or an API.

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✨ Why use this ImmoScout24 Scraper?

• 🟢 No code required — set your input, click Start, download your data.
• ⚡ Fast & accurate — reads ImmoScout24's own private API and returns structured JSON, not scraped HTML.
• 🧾 Rich, structured data — every field below, clean and ready to use.
• 🔁 Full pagination — collects results to your maxItems cap.
• 💸 Transparent pay-per-result pricing — pay only for the rows you get.
• 📤 Export anywhere — JSON, CSV, Excel, XML, or pull it live via the Apify API.

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🎯 What can you do with ImmoScout24 data?

• Market & competitor research — analyse ImmoScout24 products at scale.
• Price & availability monitoring — track changes over time.
• Data science & trend analysis — build clean datasets.
• Lead generation & enrichment — feed ImmoScout24 data into your own tools.

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📥 What data does the ImmoScout24 Scraper extract?

Each row includes: id, title, url, realEstateType, price, area, rooms, addressLine, lat, lon, listingType, published, titlePicture, images …and more. See the full Data table below.

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🚀 How to scrape ImmoScout24.com (3 steps)

1. Set your input — provide location or geocodes (see the table below; defaults work out of the box).
2. Pick options — filters, a proxyConfiguration, and a maxItems cap.
3. Run & export — click Start, then download the dataset as JSON/CSV/Excel or fetch it via the API.

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⚙️ Input

Field	Type	Default	Description
location	string	Berlin	A human-friendly location to search (city, district, ZIP or address), e.g. 'Berlin' or 'München - Schwabing'. Resolved to a geocode via the app's own mobile autocomplete.
geocodes	string	–	Optional raw geocode or geopath (e.g. '1276003001' or '/de/berlin/berlin'). Overrides Location. For power users.
priceMin	integer	–	Minimum price / rent.
priceMax	integer	–	Maximum price / rent.
roomsMin	integer	–	Minimum number of rooms.
roomsMax	integer	–	Maximum number of rooms.
livingSpaceMin	integer	–	Minimum living space in m².
livingSpaceMax	integer	–	Maximum living space in m².
sorting	enum	–	Result ordering. — one of ``, -firstactivation, price, -price, livingspace, -livingspace, rooms, -rooms
includeDetails	boolean	true	Fetch the full /expose detail for every result (description, all images, facts, agent, contact). Slower but far richer.
maxItems	integer	100	Maximum number of listings to return (0 = all).
pageSize	integer	50	Results fetched per API page (1-100).
realEstateType	enum	–	The kind of property to search for. — one of apartmentrent, apartmentbuy, houserent, housebuy, livingbuysite, livingrentsite, flatshareroom, garagerent, garagebuy, office, store, gastronomy, industry, investment, compulsoryauction, shorttermaccommodation, assistedliving, seniorcare, specialpurpose, tradesite, housetype
proxyConfiguration	object	Apify Proxy	Route requests through a proxy (Apify Proxy by default).

Example input

{
  "location": "Berlin",
  "includeDetails": true,
  "maxItems": 100,
  "pageSize": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

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📤 Output

Each result is a JSON object like this:

{
  "id": "169117208",
  "title": "Exklusiv für Studis/Azubis - schönes WG-Zimmer in 3-Zimmer-Wohnung",
  "url": "https://www.immobilienscout24.de/expose/169117208",
  "realEstateType": "apartmentrent",
  "price": "380 €",
  "area": "24,28 m²",
  "rooms": "1 Zi.",
  "addressLine": "Roedernallee 118H, 13437 Berlin, Wittenau (Reinickendorf)",
  "lat": 52.58927,
  "lon": 13.33868,
  "listingType": "XL",
  "published": "vor einem Tag",
  "titlePicture": "https://pictures.immobilienscout24.de/listings/d03e04e5-57de-4e43-bcb3-d63e4c058c90-2055402894.jpg/ORIG/resize/800x600>/format/webp/quality/80",
  "images": [
    "https://pictures.immobilienscout24.de/listings/d03e04e5-57de-4e43-bcb3-d63e4c058c90-2055402894.jpg/ORIG/resize/1500x1000/format/webp/quality/80",
    "https://pictures.immobilienscout24.de/listings/4f2e831f-53e9-4f4e-bf7d-7860ed82de8c-2055402900.jpg/ORIG/resize/1500x1000/format/webp/quality/80",
    "…+9 more"
  ],
  "realtorName": "GESOBAU AG",
  "description": "Objektreferenz: 10-00983-00010-1062\n\nDu bist Azubi unter 21 Jahre oder Studi? Dann bist du hier genau richtig!\n\nIn unserem neu errichteten GESOcampus Quartie…",
  "locationDescription": "Der GESOCampus befindet sich in der Roedernallee 118 C, F, H in 13437 Reinickendorf. Einkaufsmöglichkeiten wie Supermarkt und Drogerie sind im Erdgeschoss de…",
  "attributeLists": {
    "Hauptkriterien": [
      {
        "…": "4 fields"
      },
      {
        "…": "4 fields"
      },
      "…+9 more"
    ],
    "Kosten": [
      {
        "…": "4 fields"
      },
      {
        "…": "4 fields"
      },
      "…+5 more"
    ],
    "Bausubstanz & Energieausweis": [
      {
        "…": "4 fields"
      },
      {
        "…": "4 fields"
      },
      "…+3 more"
    ]
  },
  "priceInfo": {
    "attributes": [
      {
        "…": "3 fields"
      }
    ],
    "priceBar": {
      "minPrice": "8,80 € /m²",
      "maxPrice": "45,90 € /m²",
      "minSimilarPrice": "13,30 € /m²",
      "maxSimilarPrice": "30,40 € /m²",
      "actualObject": "Dieses Angebot 15,65 € /m²",
      "priceIndicatorPositionInPercent": 0.18
    },
    "calculationInformation": {
      "title": "Mehr Informationen zu dieser Adresse",
      "offersLowerSimilarPrice": "15,9% niedrigeren Angebotspreises",
      "offersWithSimilarPrice": "68.2% ähnlichen Angebotspreises",
      "offersHigherSimilarPrice": "15,9% höheren Angebotspreises",
      "furtherInformation": {
        "…": "4 fields"
      }
    }
  },
  "agent": {
    "company": "GESOBAU AG",
    "name": "Gesobau Vermietungsteam Neubau",
    "logo": "https://pictures.immobilienscout24.de/usercontent/c9e73109-7e88-4e3c-9268-6966f3659c90.JPG/ORIG/resize/800x600%3E/format/webp/quality/80",
    "rating": {
      "value": 4.3,
      "numberOfStars": 1359,
      "reference": {
        "…": "4 fields"
      }
    },
    "profileUrl": "https://www.immobilienscout24.de/anbieter/gesobau-ag/a11c223a99f96571de5",
    "verifiedBy": [
      {
        "…": "4 fields"
      }
    ],
    "address": ""
  },
  "contact": {
    "phoneNumbers": [],
    "callButtonState": "inactive",
    "mailButtonState": "active",
    "contactData": {
      "agent": {
        "…": "5 fields"
      },
      "realEstateProjectId": 148473,
      "realEstateType": "apartmentrent",
      "formFieldConfig": {
        "…": "10 fields"
      },
      "isExposeBuy": false,
      "isTenantNetwork": false
    }
  },
  "documents": [
    {
      "label": "Präsentation Steckbrief Wohnun",
      "url": "https://d2qfnj9mv71tll.cloudfront.net/3262f013-fd86-4190-8f13-7acf9a487040-2055402957.pdf",
      "type": "PDF"
    }
  ],
  "links": [
    {
      "label": "Preisentwicklung zu dieser Region ansehen",
      "url": "https://www.immobilienscout24.de/Suche/controller/executePriceInsightsSimple/region?realestatetype=apartmentrent&geocodes=/de/berlin/berlin/reinickendorf/mae…",
      "type": "URL_LINK"
    },
    {
      "label": "SCHUFA-BonitätsCheck",
      "url": "https://bonitaetscheck.immobilienscout24.de/?utm_medium=app&utm_source=android&utm_campaign=solvency_check&utm_content=residential_expose_services",
      "type": "BUTTON"
    },
    "…+5 more"
  ],
  "facts": {
    "…": "66 fields"
  },
  "objectInfo": "Scout-ID: 169117208 | Objekt-Nr.: 565606dd-eb91-47e5-8049-9cb8d16626cd"
}

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🧾 Data table

Field	Type	Description
id	text	ID
title	text	Title
url	link	Listing URL
realEstateType	text	Real estate type
price	text	Price
area	text	Area
rooms	text	Rooms
addressLine	text	Address
lat	text	Latitude
lon	text	Longitude
listingType	text	Listing type
published	text	Published
titlePicture	link	Title picture
images	array	Images
realtorName	text	Realtor
description	text	Description
locationDescription	text	Location description
attributeLists	object	Attribute lists
priceInfo	object	Price info
agent	object	Agent
contact	object	Contact
documents	array	Documents
links	array	Links
facts	object	Facts
objectInfo	text	Object info

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💰 Pricing — pay per result

This actor uses pay-per-event pricing: you pay only for the rows it delivers.

You scrape	Price
Listing row	$2.00 per 1,000 rows

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🔌 Use the ImmoScout24 Scraper via API

Run it programmatically with the Apify API:

curl -X POST "https://api.apify.com/v2/acts/immoscout24-api-scraper/runs?token=YOUR_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
  "location": "Berlin",
  "includeDetails": true,
  "maxItems": 100,
  "pageSize": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}'

Or with the Apify CLI: apify call immoscout24-api-scraper -i input.json -o.

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❓ FAQ

Do I need an account or API key for ImmoScout24?

No. The actor talks to ImmoScout24's public/mobile API for you — you only need an Apify account.

Do I need a proxy?

A proxy is recommended for reliable runs; set proxyConfiguration (Residential is safest for geo-restricted or bot-protected sites).

What export formats are supported?

JSON, CSV, Excel, XML, JSONL, RSS, or live via the Apify API and dataset endpoints.

Is scraping this legal?

You are responsible for how you use the data. Scrape only public product data and comply with ImmoScout24.com's Terms and applicable law (e.g. GDPR/CCPA for personal data).

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🛠️ How it works

The actor impersonates ImmoScout24's official app/site and calls its private API the same way the app does, then normalises each response into the flat record above. No browser, no HTML scraping — just clean, structured data.

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📌 Good to know

• Scrape only public product data and respect ImmoScout24.com's Terms of Service and robots policy.
• For personal data, comply with GDPR/CCPA and applicable law — you are the data controller.
• Fields can be null when ImmoScout24 doesn't expose them for a given record.

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⭐ Found this useful?

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