Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A local HTTP gateway that exposes Funda.nl housing listings through REST endpoints. Built on pyfunda with a curl_cffi-based TLS shim to bypass Funda's anti-bot measures. Agents can fetch listing details, price history, and paginated search results without querying Funda directly.
Funda blocks direct scraping with anti-bot measures; this gateway handles TLS client impersonation via curl_cffi so agents can query listings reliably without being blocked.
When to use it
- Search Amsterdam apartments by price range and room count
- Fetch price history for a specific Funda property
- Retrieve full listing details using a Funda public ID
- Aggregate multi-page search results into a single dataset
- Monitor housing listings in a target neighborhood
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Find houses in Utrecht under €500,000 with at least 3 rooms
- 1Start funda_gateway.py on port 9090 inside the skill's local virtual environment
- 2Verify the gateway responds with GET /search_listings returning HTTP 200
- 3POST /search_listings with location=utrecht, object_type=house, max_price=500000, min_rooms=3
- 4Parse the merged JSON response keyed by listing public ID
- 5Return addresses, prices, and Funda URLs to the user
Formatted list of matching Utrecht houses with prices, addresses, and Funda listing URLs