Tripadvisor

What This Skill Does

The Tripadvisor skill provides a structured framework for the OpenClaw AI agent to interact with Tripadvisor services. It enables the agent to search for hotels, restaurants, and attractions, compare options based on specific user criteria, and generate actionable, ranked shortlists. The skill operates through a dual-methodology approach: utilizing official API workflows for structured data retrieval and URL-first browser navigation for verification and interactive tasks. It manages a persistent local memory structure in ~/tripadvisor/ to store user preferences, search history, and location-ID mappings, ensuring that subsequent trips or planning sessions are informed by prior interactions. By adhering to official interface standards and prioritizing transparency, the skill provides a robust, compliance-oriented way to organize travel research.

Installation

To integrate the Tripadvisor skill into your OpenClaw environment, run the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/tripadvisor. Upon initial execution, the agent will verify if your local storage directory is initialized. If not, it will reference setup.md to guide you through the process, explain how data is stored on your machine, and request your explicit confirmation before creating any files. This ensures you maintain full control over the agent's local memory usage.

Use Cases

• Strategic Travel Planning: Aggregate and compare top-rated hotels in a specific city based on price, rating, and user preferences.
• Dining Research: Identify highly-rated restaurants matching specific dietary requirements or cuisines using API lookups.
• Attraction Scouting: Create a daily itinerary shortlist for a weekend getaway, filtering by location-proximity and interest tags.
• Objective Review Analysis: Use the agent to extract sentiment or consensus from recent traveler reviews to inform booking decisions.

Example Prompts

1. "Find three boutique hotels in Kyoto under $200 per night and save them to a new shortlist."
2. "Compare the best-rated Italian restaurants in Rome's Trastevere district and summarize why each is a good fit for a group dinner."
3. "I'm heading to London next month. Can you check my existing preferences in ~/tripadvisor/memory.md and find top-rated attractions for art lovers?"

Tips & Limitations

• Explicit Mode Selection: Always define your preference for API mode (faster, data-heavy) or UI mode (visual browsing) at the start of your request to optimize the agent's behavior.
• Handle Blockers: If the agent encounters a captcha or cookie banner, it is programmed to document the issue rather than bypass it. Simply acknowledge the blocker, and the agent will pivot to a more stable method.
• Storage Hygiene: Periodically review your ~/tripadvisor/ folders. While the agent saves progress to help you, keeping it tidy prevents memory bloat.
• API Constraints: The skill relies on official access points. If an endpoint is rate-limited or unavailable, the agent may fall back to safe, manual web navigation.