A comprehensive hotel meta-search integration for comparing prices across 300+ booking sites and 190 countries.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trivago
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install trivago using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill integrates the power of Trivago, a world-leading hotel comparison platform, into your automation workflows. By leveraging Openclaw Skills, users can access a massive data engine that aggregates pricing, availability, and reviews from over 300 booking websites such as Booking.com, Expedia, and Hotels.com.
Whether you are building a travel assistant or automating corporate trip planning, this skill provides the tools to find ideal accommodations based on star ratings, user scores, and geographic location. It focuses on price transparency, allowing developers to help end-users navigate the complex landscape of global travel lodging.
To integrate this capability into your project via Openclaw Skills, use the following commands:
# Install the Trivago integration
openclaw install skill-trivago
# Configure regional preferences and default currency
openclaw config trivago --region global --currency USD
The skill organizes accommodation data using a structured metadata taxonomy to ensure compatibility across Openclaw Skills integrations:
| Attribute | Type | Description |
|---|---|---|
| hotel_id | String | Unique identifier for the hotel property |
| provider_list | Array | List of booking sites and their respective price offers |
| aggregate_rating | Float | Normalized user score based on multiple review sources |
| location_data | Object | Latitude, longitude, and address metadata |
| facility_tags | List | Available services (e.g., WiFi, Parking, Pool) |
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