Fenbeitong Hotel Booking Assistant for Openclaw

A professional AI assistant for real-time Fenbeitong hotel searching, price comparison, and end-to-end booking management.

gaogao605
v1.0.0
Mar 26, 2026
0
255
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install hotel-book

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 hotel-book 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 Fenbeitong Hotel Booking Assistant?

The Fenbeitong Hotel Booking Assistant (fb-hotel-skill) is a high-performance automation tool designed to integrate Fenbeitong corporate travel services directly into AI workflows. It enables users to search for hotels across cities, compare room types, check real-time pricing, and execute secure bookings with ease.

Built for the Openclaw Skills ecosystem, this tool handles the complexities of corporate authentication through a streamlined SMS verification process. It provides structured data for hotel listings, detailed room amenities, and comprehensive order tracking, ensuring that enterprise travel management is both efficient and accurate.

Fenbeitong Hotel Booking Assistant Use Cases

  • Automated corporate hotel searching based on location, keywords, or specific business zones.
  • Real-time price monitoring and room availability checks for business trips.
  • Seamless end-to-end hotel booking and order cancellation directly via AI agent commands.
  • Reviewing hotel ratings and detailed amenities to ensure accommodation quality standards.
  • Integrating corporate travel booking into automated itinerary planning workflows.

How Fenbeitong Hotel Booking Assistant Works

  1. The user initiates the Openclaw Skills authentication flow by providing a mobile number and verifying it via an SMS captcha.
  2. The skill retrieves an identity_code (access token) and securely stores it in ~/.fbt-auth.json for persistent session management.
  3. Upon a search request, the skill calls the searchHotelList API to fetch structured hotel data including star levels, addresses, and minimum pricing.
  4. Detailed room information and product plans are retrieved via queryHotelPrice, filtering for available inventory.
  5. Once a room is selected, the skill collects guest information and executes the createOrder protocol.
  6. A secure payment or order viewing link is generated, redirecting the user to the Fenbeitong portal to finalize the transaction.

Fenbeitong Hotel Booking Assistant Setup

Ensure you have python3 installed. Initialize the skill by performing the authentication sequence:

# Step 1: Send verification code to your mobile
python3 -c "from scripts.fb_hotel_api import send_verification_code; send_verification_code('your_mobile_number')"

# Step 2: Verify and save the identity token
python3 -c "from scripts.fb_hotel_api import verify_and_get_token; verify_and_get_token('your_mobile_number', 'your_captcha')"

Fenbeitong Hotel Booking Assistant Data Schema & Taxonomy

The skill manages local authentication and structured API responses as follows:

Data Type Storage/Source Description
Auth Token ~/.fbt-auth.json Stores identity_code, mobile, and timestamp.
Hotel List searchHotelList API Includes hotel_id, star_level, address, and score.
Room Data queryHotelPrice API Contains room_id, bed_type, area, and plan_list.
Order Info queryOrder API Details order_id, payment status, and cancellation rules.

Fenbeitong Hotel Booking Assistant Advanced Features

  • Automatic Token Management: Automatically reads and refreshes credentials from local JSON storage for a zero-config experience in new sessions.
  • Structured Formatter Module: Utilizes scripts/formatter.py to ensure data is presented in highly readable Markdown tables with specific display limits.
  • Environment Switching: Supports both FAT testing and Online production environments via unified gateway endpoints.
  • Multi-Guest Support: Handles complex guestList1 data structures (2D arrays) for group corporate bookings.
  • Deep Linking: Generates context-aware redirect URLs for immediate payment or order detail inspection.

SKILL.md


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