The best ImmobilienScout24 scrapers in 2026 (compared by price, data and features)

#realestate #webscraping #germany #api

ImmobilienScout24 (ImmoScout24) is Germany's largest property portal, and it has no
public API for listings. If you want rental or sale listings in a spreadsheet for price
analysis, investment screening, relocation or a proptech product, a ready-made scraper on
Apify is the quickest route. I compared the five that are actively maintained.

Disclosure: I built one of them (tacps126). I've kept the comparison to facts you can
check on each Store page (pricing and features as listed on 2026-10-13), and I note where
others do things mine doesn't.

The comparison

Scraper	Price per 1,000 listings	Start fee per run	Countries	Notable extras
memo23 - ImmoScout24 .de/.ch/.at + Price-Cut Archive	$1.75	$0.005	DE, CH, AT	Price-cut archive, phone numbers (extra fee), market analysis add-on
azzouzana - ImmobilienScout24 Scraper	$1.00	$0.006	DE	Search-URL based
clearpath - ImmoScout24 API Pro	$1.19	$0.002	DE	50+ fields
igolaizola - ImmobilienScout24 Scraper	$1.00 (+$1 for details)	$0.01	DE	Optional detail pages
tacps126 - ImmobilienScout24 Scraper	$0.95	$0.006	DE	Plain-word locations, price per m², coordinates, seller filter, only-new alerts

Start fees matter if you run small scheduled jobs: an hourly alert costs 24 starts a day.

How to choose

You need Switzerland or Austria, price history or phone numbers: memo23 is the most complete and the most used (about 190 users a month, 5★).
You want the lowest cost for frequent, small monitoring runs: pick one with no real start fee, so a daily "only new listings in Berlin" run costs cents.
You want full exposé details (description text, full equipment list): igolaizola and memo23 offer detail fetching.
You start from a city name rather than a URL: tacps126 lets you type Berlin or München Schwabing and set price/area/rooms filters, or paste search URLs.

What a listing looks like (tacps126)

{
  "title": "Wohnen mit Herz - wie geschaffen für zwei",
  "offerType": "rent",
  "price": { "amount": 594.78, "currency": "EUR", "period": "month" },
  "totalRent": 800.94,
  "livingArea": 51.72,
  "rooms": 2,
  "pricePerSqm": 11.5,
  "address": { "postcode": "12619", "city": "Berlin", "district": "Kaulsdorf (Hellersdorf)" },
  "latitude": 52.52485,
  "longitude": 13.58695,
  "energyClass": "B",
  "features": ["balcony", "cellar", "lift"],
  "url": "https://www.immobilienscout24.de/expose/168986388"
}

In my test runs it returned 1,112 listings (Hamburg houses for sale and Berlin rentals, 50
result pages) in 21 seconds.

Calling it from code

import os, requests

rows = requests.post(
    "https://api.apify.com/v2/acts/tacps126~immobilienscout24-scraper/run-sync-get-dataset-items",
    headers={"Authorization": f"Bearer {os.environ['APIFY_TOKEN']}"},
    json={"locations": ["Berlin"], "offerType": "rent", "maxPrice": 1500, "minRooms": 2, "sort": "newest", "maxItems": 200},
    timeout=300,
).json()
avg = sum(r["pricePerSqm"] for r in rows if r.get("pricePerSqm")) / max(1, sum(1 for r in rows if r.get("pricePerSqm")))
print(f"{len(rows)} listings, average cold rent {avg:.2f} €/m²")

Legal note

All of these collect publicly listed ads. Listings can include contact names, so handle
them under GDPR (purpose limitation, no unsolicited marketing to private landlords).

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