Taiwan Real-time Parking Query for Openclaw

An AI-powered skill for querying real-time parking availability and navigation across Taiwan's major cities using TDX data.

harperbot
v1.0.0
Mar 4, 2026
0
1.2k
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Install & Download

1. ClawHub CLI

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

npx clawhub@latest install openclaw-parking-query

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 openclaw-parking-query 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 Taiwan Real-time Parking Query?

The Taiwan Real-time Parking Query skill enables AI agents to provide up-to-the-minute parking information for drivers across major Taiwanese municipalities. By processing geographic coordinates or Google Maps URLs, the skill interfaces with the Taiwan Transport Data eXchange (TDX) to return the number of available spots, distances, and direct navigation links. This is a vital addition to Openclaw Skills for users who need hands-free or rapid parking assistance through messaging platforms like Telegram, LINE, or iMessage.

Built for the Openclaw Skills ecosystem, this tool handles the complexity of API authentication and geographic filtering. It ensures that users spend less time searching for parking and more time reaching their destinations by providing structured, actionable data directly within their preferred chat interface.

Taiwan Real-time Parking Query Use Cases

  • Finding an immediate parking spot when arriving at a busy destination in Taipei or Kaohsiung.
  • Checking parking availability for a future trip by specifying a time or location in a query.
  • Extracting coordinates from shared Google Maps links to find nearby car parks automatically.
  • Getting one-click navigation links to the closest parking garage via Apple Maps or Google Maps.

How Taiwan Real-time Parking Query Works

  1. The user sends a location pin, a Google Maps URL, or a text-based query to the AI agent.
  2. The agent identifies the intent and triggers the parking_query skill within the Openclaw Skills framework.
  3. The script authenticates with TDX and fetches static car park metadata, which is cached for 24 hours to optimize performance.
  4. Real-time availability data is fetched dynamically for each request to ensure accuracy.
  5. The system filters results by distance, starting with a 500m radius and expanding to 1km if no results are found.
  6. The agent returns a formatted message containing up to 5 nearby locations, their current vacancies, and navigation shortcuts.

Taiwan Real-time Parking Query Setup

To integrate this with Openclaw Skills, follow these steps:

  1. Register for a free account at the TDX portal (https://tdx.transportdata.tw) to obtain your Client ID and Client Secret.
  2. Add your credentials to the openclaw.json configuration file:
{
  "env": {
    "vars": {
      "TDX_CLIENT_ID": "your-client-id",
      "TDX_CLIENT_SECRET": "your-client-secret"
    }
  }
}
  1. Install the necessary Python library:
pip3 install requests
  1. Copy the skill to your local directory and restart the gateway:
cp -r parking_query ~/.openclaw/skills/
openclaw restart

Taiwan Real-time Parking Query Data Schema & Taxonomy

The skill organizes its data using a hybrid approach of local caching and real-time API calls:

Data Type Source Refresh Rate
Static Car Park Info TDX Advanced API 24 Hours (Cached)
Availability Data TDX Basic API Per Request
Location Input Latitude/Longitude or URL Dynamic

The output is structured as a list of car park objects containing name, remaining_spaces, distance_meters, address, and navigation_links (Apple and Google Maps).

Taiwan Real-time Parking Query Advanced Features

  • Intelligent radius expansion: Automatically widens the search from 500m to 1km to ensure results in less dense areas.
  • Multi-channel support: Fully compatible with Telegram, LINE, and iMessage (via BlueBubbles).
  • URL Parsing: Supports both maps.app.goo.gl short links and full Google Maps coordinate URLs.
  • Future Query Mode: Supports planning by searching for parking locations even when real-time vacancy data is not the primary focus.
  • Comprehensive Coverage: Includes support for all major Taiwanese counties including Taipei, New Taipei, Taichung, Tainan, and Kaohsiung.

SKILL.md


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