Tripadvisor
Customers ask about hotels, restaurants, and attractions. Your AI agent searches Tripadvisor's database of millions of locations, pulls live ratings, recent reviews, and award details, then presents curated travel recommendations. Travelers get personalized guidance without scrolling through pages of listings.
Your AI agent taps into Tripadvisor's vast location database to answer hotel, restaurant, and activity questions with live ratings, reviews, and photos.
Tripadvisor
Real scenarios where AI agents transform how travel businesses, concierges, and booking platforms serve travelers with live Tripadvisor data.
A hotel guest asks your concierge chatbot for a romantic restaurant nearby. Your AI Agent searches Tripadvisor for top-rated restaurants in the area, filters by fine dining category, and returns three options with ratings, review highlights, and award badges. The guest makes a reservation based on real traveler feedback instead of a generic printed list.
A customer booking a vacation package asks what activities are available in Rome. Your AI Agent retrieves bookable tours and activities from Tripadvisor with pricing in their preferred currency, presenting options like skip-the-line Colosseum tickets and food tours. The customer adds activities to their itinerary during the same booking conversation.
A traveler is deciding between three hotels in Lisbon. Your AI Agent fetches Tripadvisor details for each, comparing overall ratings, review counts, price levels, and recent guest feedback. It highlights that Hotel A has a Travelers' Choice award while Hotel B has newer reviews praising renovation. Data-driven decisions without opening multiple browser tabs.
Tripadvisor
FAQs
The agent uses Tripadvisor's Location Details and Hotels endpoints with location IDs. For destination-based searches, it looks up the geo hierarchy to find hotels, restaurants, and attractions within a specific city or region. Results include ratings, review counts, and direct Tripadvisor links.
The Tripadvisor Content API returns up to 5 of the most recent reviews per location request. Each review includes the star rating, title, text, trip type, and publication date. The agent can also filter reviews by language and trip type (business, leisure) for more relevant results.
Yes. The Tripadvisor API supports 29 languages. Your agent passes the customer's preferred language locale and receives localized location names, descriptions, and reviews. This makes the integration ideal for multilingual travel businesses.
No. Tars calls the Tripadvisor API in real time during each conversation. Location details, reviews, photos, and award data are fetched live and not stored locally. This ensures travelers always see the most current ratings and reviews.
The integration covers hotels, restaurants, and attractions as defined by Tripadvisor. You can also browse geographic hierarchies to explore cities within countries, and retrieve bookable activities and tours for destination locations.
Activity pricing is available through the bookable activities endpoint with currency conversion support. Hotel pricing depends on Tripadvisor's API tier and partner agreements. The agent displays whatever pricing data the API returns for the requested currency.
Tripadvisor requires at least one restriction on your API key before it can be used, either a domain restriction or an IP address restriction. You configure this in the Tripadvisor developer portal. The agent works with keys that have either restriction type.
Widgets display static content. The Tars integration lets your AI agent respond to specific traveler questions with curated Tripadvisor data. A customer asking about pet-friendly hotels gets a filtered answer, not a generic listing page. The agent contextualizes data based on the conversation.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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