LovTrip Travel Content Browser for Openclaw

A zero-config CLI and API utility to search and retrieve travel guides, destinations, and itineraries from the LovTrip platform.

lizhijun
v1.1.0
Mar 8, 2026
0
875
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install lovtrip-content

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 lovtrip-content 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 LovTrip Travel Content Browser?

LovTrip Content is a high-performance skill designed to provide AI agents and developers with instant access to the LovTrip travel planning ecosystem. It enables seamless searching of travel guides, destination details, and structured itineraries without the need for API keys or complex authentication. By utilizing this integration within the Openclaw Skills framework, users can programmatically browse content for travel inspiration or specific trip planning needs.

The skill acts as a bridge to the LovTrip AI-driven platform, offering a simplified interface via CLI or direct API calls. It is optimized for speed and ease of use, making it an essential component for any travel-related AI agent workflow. Whether you need to find a 3-day itinerary for Kyoto or the latest trending destinations, this tool delivers structured data ready for consumption.

LovTrip Travel Content Browser Use Cases

  • Searching for specific travel guides and food tours using natural language.
  • Browsing trending global destinations for travel inspiration.
  • Retrieving multi-day itinerary templates for specific locations.
  • Accessing detailed travel content for AI-driven trip summarization.
  • Integrating real-time travel data into custom applications via JSON output.

How LovTrip Travel Content Browser Works

  1. The user or agent initiates a search query for a destination or travel topic.
  2. The skill executes a CLI command using npx or a direct curl request to the LovTrip public API.
  3. The LovTrip engine processes the query and returns a list of matching guides, destinations, or itineraries.
  4. For detailed views, the agent fetches the full content of a specific guide using its unique slug.
  5. The retrieved data is formatted for the user or passed to other Openclaw Skills for further planning or mapping.

LovTrip Travel Content Browser Setup

The skill is designed for immediate use with zero configuration. You can run it directly via npx:

npx lovtrip@latest --help

To search for a specific itinerary via CLI:

npx lovtrip search "Kyoto 3 days" --json

Alternatively, you can call the API directly using curl:

curl -s "https://lovtrip.app/api/search?q=Tokyo" | python3 -m json.tool

LovTrip Travel Content Browser Data Schema & Taxonomy

The skill organizes travel data into several primary entities, accessible via specific commands. All responses can be toggled to JSON format for structured parsing.

Entity CLI Command Key Attributes
Search search Title, Summary, Slug, Type
Guides guides Content Markdown, Destination, Author
Destinations destinations Name, Trending Status, Description
Itineraries itineraries Day-by-day Plan, Destination, Duration

LovTrip Travel Content Browser Advanced Features

  • Zero API Key authentication for rapid deployment and testing.
  • Native JSON output support via the --json flag for automated data pipelines.
  • Seamless integration with lovtrip-travel-planner to convert search results into custom itineraries.
  • Compatibility with lovtrip-china-map for navigating destinations found in search.
  • Support for lovtrip-video2article to transform discovered video content into readable travel guides.
  • Configurable API endpoints for advanced developer implementations within the Openclaw Skills ecosystem.

SKILL.md


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