A local HTTP gateway for AI agents to search and monitor Funda.nl real estate listings using a Python-based service.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install funds
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install funds using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Funda Gateway?
The Funda Gateway is a specialized tool designed to interface with Funda.nl, the Netherlands' premier housing portal. It acts as a local bridge, allowing AI agents to query property data through a RESTful API without triggering standard anti-bot protections. By utilizing the Openclaw Skills framework, developers can automate property searches, monitor market changes, and extract detailed listing information including historical pricing and media assets.
This skill leverages a custom TLS client shim to ensure stable connections while maintaining a lightweight, dependency-safe environment. It is built to run in trusted local environments, providing a structured way to interact with real estate data that is otherwise difficult to access via traditional scraping methods.
Funda Gateway Use Cases
- Automated monitoring of new housing listings in specific Dutch regions for real-time alerts.
- Historical price tracking for real estate market analysis and investment valuation.
- Integrating live property data into personal productivity dashboards or custom AI research agents.
- Filtering and aggregating Dutch real estate listings based on custom criteria like price, size, or location through Openclaw Skills workflows.
How Funda Gateway Works
- The agent initializes a local Python virtual environment to manage dependencies securely without affecting the system-wide installation.
- A local HTTP server is launched using a specialized gateway script that listens for requests on a designated port (default 9090).
- The gateway utilizes a local TLS client shim backed by curl_cffi to mimic legitimate browser traffic, ensuring reliable access to Funda.nl endpoints.
- Developers or agents send GET or POST requests to specific endpoints like search_listings or get_listing.
- The gateway processes the upstream data and returns structured JSON objects while strictly preserving original URL integrity for media and detail pages.
Funda Gateway Setup
First, ensure Python 3.10+ is installed. It is recommended to create a local virtual environment within the skill folder to manage Openclaw Skills dependencies:
python -m venv .venv
source .venv/bin/activate
pip install simple_http_server pyfunda curl-cffi
Once dependencies are installed, launch the gateway using the following command:
python scripts/funda_gateway.py --port 9090 --timeout 10
The server will bind to 127.0.0.1, ensuring the service remains private and secure within your local environment.
Funda Gateway Data Schema & Taxonomy
The gateway returns structured JSON data based on the pyfunda implementation. All URLs provided in the response are treated as opaque strings and must not be modified.
| Endpoint | Data Returned | Key Fields |
|---|---|---|
/get_listing/{id} |
Detailed Listing Object | public_id, description, price, media_urls |
/get_price_history |
Historical Price Array | date, price_value, status |
/search_listings |
Aggregated Result Map | Results keyed by public_id, includes multi-page results |
Funda Gateway Advanced Features
- Multi-page search support: Request one or multiple pages (e.g., pages=0,1,2) and receive a single merged JSON response.
- TLS Client Impersonation: Uses a custom Python shim with curl_cffi to handle platform-specific native binary requirements seamlessly.
- URL Integrity Enforcement: Built-in logic to ensure all media and detail URLs remain un-normalized to prevent breaking Funda CDN links.
- Flexible Port Binding: Easily avoid port conflicts by specifying custom TCP ports during initialization.
- AI-Ready JSON Output: Designed specifically for Openclaw Skills to enable easy parsing by large language models.
SKILL.md
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