Booking.com Scraper: Hotels, Prices and Reviews via GraphQL API

Scrape hotel listings from Booking.com including prices, ratings, availability and cancellation policies. Search any city, region or country worldwide. Built on Booking.com's GraphQL API, so you get clean structured data with full pricing detail (original price, discounted price, currency, free-cancellation and no-prepayment flags) instead of brittle HTML parsing.

What you can extract

• Identity: hotel name, star_rating (1 to 5), photo_url, direct booking.com URL
• Location: city, district, full location, distance_from_center
• Reviews: review_score (out of 10), review_count, review_label (Wonderful, Very Good, etc.)
• Pricing: price, original_price (for discount calculation), currency
• Booking policy: free_cancellation flag, no_prepayment flag
• Search context: destination, checkin and checkout dates, adults, rooms

Primary use cases

• Rate parity monitoring. Compare your hotel's Booking.com price against your direct site daily
• Hotelier pricing intelligence. Track competitor rates by star tier, neighborhood and date range
• OTA comparison. Combine with Airbnb, Expedia or Trivago feeds for full-market visibility
• Travel meta-search. Build your own price-comparison site or affiliate widget
• Event-driven surge analysis. Measure how prices move around conferences, festivals or sports events
• Honest about the approach: we hit Booking.com's GraphQL API directly. Clean data, no browser overhead

API example

# Scrape Booking.com hotel listings
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~booking-com-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "destination": "Berlin",
    "checkin": "2026-09-15",
    "checkout": "2026-09-17",
    "adults": 2,
    "currency": "EUR",
    "maxResults": 50
  }'

# Or sort by price for cheapest first:
# {"destination":"Rome","checkin":"2026-05-01","checkout":"2026-05-03","sortBy":"PRICE"}

# Or use with AI agents via MCP:
# https://mcp.apify.com?tools=santamaria-automations/booking-com-scraper

Integrations

• n8n, Make, Zapier: trigger runs and push rates into your RMS or BI tool
• AI Agents (MCP): Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python, Node.js: Apify SDK for programmatic access
• Google Sheets, Airtable, BigQuery: destination list in, hotel records out

Output sample

{
  "name": "Hotel Adlon Kempinski Berlin",
  "star_rating": 5,
  "photo_url": "https://cf.bstatic.com/...",
  "city": "Berlin",
  "district": "Mitte",
  "location": "Unter den Linden 77, 10117 Berlin, Germany",
  "distance_from_center": "0.5 km",
  "review_score": 9.0,
  "review_count": 4218,
  "review_label": "Wonderful",
  "price": 480,
  "original_price": 520,
  "currency": "EUR",
  "free_cancellation": true,
  "no_prepayment": false,
  "url": "https://www.booking.com/hotel/de/adlon.html"
}

Related Actors

• Google Maps Scraper: cross-reference with local business data, photos and reviews
• Trustpilot Scraper: independent review data for hotel chains
• Eventbrite Scraper: pair hotel demand with the events driving it