Germany Apartment Swap Scraper

Scrape apartment swap (Tauschwohnung / Wohnungstausch) listings from Germany's two largest platforms:

• tauschwohnung.com — ~51,000 listings
• wohnungsswap.de — ~22,000 listings

Extract rent, rooms, square meters, location, photos, amenities, swap preferences, and more. Export as JSON, CSV, or Excel.

What data do you get?

Each listing includes:

Field	Description
city, district, postalCode	Location details
rooms, sqm, floor	Property size
rent	Monthly rent in EUR
propertyType	Apartment, room (WG), or house
title, description	Listing text
photos	Array of image URLs
amenitiesRaw	Balcony, elevator, kitchen, cellar, garden, etc.
swapPreferences	What the poster is looking for
latitude, longitude	Coordinates (wohnungsswap.de)
createdAt, lastActiveAt	Listing timestamps
sourceUrl	Direct link to the original listing

How it works

tauschwohnung.com

1. Discovers all listing URLs via the site's XML sitemaps
2. Visits each listing page with a headless browser (Playwright)
3. Extracts data from the rendered DOM with multiple fallback strategies

wohnungsswap.de

1. Fetches structured data from the public Search API (fast, no browser needed)
2. Optionally enriches each listing by visiting the page for full descriptions, all photos, and amenities

Input configuration

Parameter	Default	Description
Sources	Both	Which websites to scrape
Cities	All	Filter by German city names (e.g., Berlin, Hamburg, Munchen)
Min/Max Rooms	—	Room count range
Min/Max Size	—	Square meters range
Min/Max Rent	—	Monthly rent range in EUR
Property Types	All	Apartment, Room (WG), House
Max Listings Per Source	Unlimited	Limit for testing or cost control
Enrich Wohnungsswap	Off	Visit listing pages for full data (slower)
Max Concurrency	5	Parallel browser pages
Request Delay	1000ms	Delay between requests

Example input

Scrape 100 Berlin apartments under 800 EUR:

{
    "sources": ["tauschwohnung", "wohnungsswap"],
    "cities": ["Berlin"],
    "maxRent": 800,
    "propertyTypes": ["apartment"],
    "maxListingsPerSource": 100
}

Scrape all listings from wohnungsswap.de only (API data, fast):

{
    "sources": ["wohnungsswap"],
    "maxListingsPerSource": 0
}

Output example

{
    "id": "wohnungsswap_1497645",
    "source": "wohnungsswap",
    "sourceUrl": "https://www.wohnungsswap.de/tauschangebot/1497645",
    "sourceId": "1497645",
    "city": "Berlin",
    "district": null,
    "postalCode": "10245",
    "latitude": 52.5065,
    "longitude": 13.4544,
    "propertyType": "apartment",
    "rooms": 3,
    "sqm": 75,
    "floor": 2,
    "rent": 650,
    "title": "3-Zimmer in Berlin",
    "description": null,
    "photos": ["https://..."],
    "amenitiesRaw": [],
    "swapType": "permanent",
    "createdAt": "2026-02-20T10:30:00Z",
    "scrapedAt": "2026-02-26T18:00:00Z"
}

Cost estimation

Scenario	Estimated time	Estimated cost
wohnungsswap.de API only (22k listings)	~5 min	~$0.10
wohnungsswap.de with page enrichment	~2-4 hours	~$5-10
tauschwohnung.com (51k listings)	~4-8 hours	~$10-20
Both sources, full scrape	~6-12 hours	~$15-30
Berlin only, both sources	~15-30 min	~$1-3

Costs depend on proxy usage and Apify plan. Estimates assume residential proxies.

Tips

• Start small: Set maxListingsPerSource to 10-50 for your first run to verify the output format
• wohnungsswap.de is fastest: The API returns structured data without needing a browser. Use it alone for quick results
• Use city filters: Scraping all 70k+ listings takes hours. Filter by city to get relevant results fast
• Proxies recommended: For large scrapes (1000+ listings), enable Apify proxy to avoid IP blocks
• Schedule runs: Set up a daily/weekly schedule to track new listings automatically

Local development

npm install
mkdir -p storage/key_value_stores/default
echo '{"sources":["wohnungsswap"],"cities":["Berlin"],"maxListingsPerSource":5}' > storage/key_value_stores/default/INPUT.json
npm run dev

Results appear in storage/datasets/default/.