rea-search for Openclaw

Constructs precise realestate.com.au search and listing URLs for Australian property research without requiring an API key.

jakelin
v1.0.0
Feb 15, 2026
0
1.6k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install rea-search

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install rea-search 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 rea-search?

The rea-search skill is a specialized utility designed for the Openclaw Skills ecosystem, enabling developers and researchers to programmatically generate structured URLs for realestate.com.au. By leveraging specific path patterns, it allows for deep filtering of property listings across Australia, covering buy, rent, and sold categories. This tool bypasses the need for official API keys by utilizing the site's native URL routing logic.

Integrating this skill into your workflow provides a powerful way to automate property discovery. Whether you are looking for specific property types like townhouses in Malvern or filtering by price brackets and bedroom counts, this entry in the Openclaw Skills library streamlines the process of bridging data requirements with browser-based results.

rea-search Use Cases

  • Automating the generation of filtered property search links for real estate investors.
  • Researching historical sales data in specific Australian postcodes using the sold properties path.
  • Generating deep links to specific suburb profiles for neighborhood analysis.
  • Using DuckDuckGo site search as a fallback to bypass rate limits when fetching listing metadata.

How rea-search Works

  1. Identify the search intent, such as buying or viewing sold properties.
  2. Define parameters including property types, bedroom counts, price ranges, and location details.
  3. Construct the path-based URL using the skill logic for filters and location encoding.
  4. Append pagination parameters to the list path for traversing multi-page results.
  5. Utilize the generated URL to open directly in a browser or process via a search engine proxy to avoid bot detection.

rea-search Setup

To use the rea-search tool within your Openclaw Skills configuration, ensure your agent has access to the URL construction patterns. No external API keys are required.

# Define the base URL pattern for buy or sold listings
# Integrate parameters for property types and filters

Note: If using automated fetching, ensure your environment handles 429 rate limiting or uses the DuckDuckGo lite search workaround provided in the documentation.

rea-search Data Schema & Taxonomy

The skill utilizes a structured path-based schema to define search criteria. Below is the mapping for URL segments:

Parameter Value Format Description
Property Types house, townhouse, unit, etc. Join multiple types with +
Bedrooms with-{n}-bedrooms Minimum bedroom count filter
Price between-{min}-{max} Price range (omit values for no limit)
Location {suburb},+{state}+{postcode} Semicolon %3b+ for multiple locations
Pagination list-{page} Incremental page counter

rea-search Advanced Features

  • Multi-suburb search support using encoded semicolon separators for broad market analysis.
  • Fallback mechanism using DuckDuckGo Lite search to circumvent anti-bot protections and TLS fingerprinting.
  • Support for unique listing ID resolution for individual property deep-linking.
  • Neighborhood-specific profile generation for localized market data and demographic research.

SKILL.md


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