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Hotel APIs

Spyface AI Hotel API

Redefine Hospitality with AI: The Ultimate Hotel API

Discover the next generation of hotel APIs: deeply personalized, context-aware, and conversion-optimized by artificial intelligence.

Welcome to the future of hotel booking where our AI-powered APIs don’t just deliver listings, they orchestrate seamless experiences.

  • AI-Personalized Hotel Matching: Traveler sentiment, seasonality, and real-time behavior shape every recommendation.
  • Neural Review Summarization: Millions of guest reviews compressed into actionable AI insights within milliseconds.
  • Price Movement Forecasts: Predictive analytics indicate when to book or wait, with alert-ready notifications.
  • Visual Discovery Engine: AI selects hotel images based on user interest and emotional resonance—higher click-through, better UX.
  • Carbon Impact Scores: Sustainability-aware travelers see eco-scores calculated via global travel carbon APIs.
  • Global Compliance & GDPR Enforcement: Built-in data governance, anonymization, and jurisdiction-aware logic.
  • Behavioral Segmentation Engine: Context-aware personalization driven by AI personas and booking intent.
  • Marketplace Yield Maximizer: AI pricing engine to forecast surge times, offload low-priority inventory, and rebalance demand.
  • Real-Time Feedback Monitor: In-session UX tracking for conversion uplift using predictive analytics.

Flagship AI Hotel APIs

  • AI Hotel Discovery: Contextual matching, behavioral intent scoring, live price trends, and visual-first hotel listing experiences.
  • AI Review Insights API: NLP-powered hotel review summaries with trend graphs and predictive complaint escalation.
  • Smart Booking API: End-to-end booking flow with embedded AI fraud detection, smart upsells, fallback logic, and transaction optimization.
  • GreenScore API: Evaluate eco-rating using 3rd-party verified sustainability standards (energy, water, waste) and generate a unified badge.
  • AI-Powered RateWatch: Monitor and predict rate shifts hourly using historical patterns and market signals.

Sample API Response (JSON)

This next-gen response goes beyond static search showcasing real-time insight, personalization, and predictive analytics.

{
  "traveler": {
    "id": "GUEST_9823",
    "persona": "Eco Business Traveler",
    "preferences": {
      "quiet_rooms": true,
      "eco_certified_only": true,
      "proximity": "<2km from airport"
    },
    "budget_range_usd": "150-250",
    "booking_intent_score": 0.89
  },
  "ai_ranked_hotels": [
    {
      "hotel_id": "HTL_1022",
      "name": "ZenAir Suites",
      "location": "Copenhagen, Denmark",
      "match_score": 98.2,
      "eco_score": 9.5,
      "price_per_night": 219,
      "green_badges": ["EnergyStar", "LEED Gold"],
      "ai_summary": "Top choice for quiet, sustainable stays near airport. Excellent indoor air quality.",
      "featured_image": "https://cdn.spyface.com/images/zenair.jpg"
    },
    {
      "hotel_id": "HTL_1033",
      "name": "MetroLogic Boutique Hotel",
      "location": "Amsterdam, Netherlands",
      "match_score": 95.1,
      "eco_score": 8.7,
      "price_per_night": 202,
      "green_badges": ["BREEAM Excellent"],
      "ai_summary": "High booking intent match. Trendy, quiet, and excellent access to co-working hubs.",
      "featured_image": "https://cdn.spyface.com/images/metrologic.jpg"
    }
  ],
  "recommendation": {
    "booking_window": "Book within 48 hours for best rates.",
    "price_forecast": "Slight increase expected post-weekend.",
    "eco_tip": "ZenAir uses 40% less water than average hotel in the area."
  },
  "meta": {
    "api_version": "v4.0.1",
    "served_in_ms": 67,
    "timestamp": "2025-07-17T21:30:00Z"
  }
}