🏨 Trip.com Hotel Scraper

Professional hotel data extraction for competitive analysis and market intelligence

Extract comprehensive hotel data from Trip.com for pricing analysis, market research, and competitive intelligence. This scraper provides real-time access to hotel information including prices, ratings, amenities, and promotional offers across multiple destinations worldwide.

🎯 What This Scraper Does

The Trip.com Hotel Scraper extracts detailed hotel information from Trip.com's search results, providing you with:

• Real-time pricing data (current, original, and total prices with taxes)
• Hotel details (name, ID, location, star rating, distance from landmarks)
• Guest feedback (ratings, descriptions, and review counts)
• Room information (type, occupancy, bed configuration, features)
• Promotional information (discounts, member deals, special offers)
• High-quality images and visual content
• Booking insights (last booked information, availability)

🚀 Quick Start

1. Get Your Search URL

1. Visit trip.com
2. Search for hotels with your desired filters (location, dates, guests, etc.)
3. Copy the complete URL from your browser

2. Configure the Scraper

{
  "filterArgs": [
    "https://www.trip.com/hotels/search?cityId=24317&checkIn=2025-07-26&checkOut=2025-07-27&adult=2&children=0&curr=USD&starlist=4"
  ],
  "limitPerPage": 50,
  "totalLimit": 200
}

3. Run and Get Results

The scraper will return structured JSON data ready for analysis.

📊 Data Output Example

{
  "hotel_id": "717668",
  "name": "Hotel Europe Saint Severin",
  "star_rating": 3,
  "rating": 8.6,
  "rating_description": "Very Good",
  "reviews": 67,
  "location": "Near Louvre Museum Latin Quarter Show on map",
  "room_type": "Classic Room",
  "occupancy": 2,
  "bed_type": [
    "double"
  ],
  "original_price": 172,
  "current_price": 167,
  "total_price": 0.196,
  "discount": "US$5 Off",
  "promotion_type": "Limited Time Offer",
  "images": [
    "https://ak-d.tripcdn.com/images/0226912000ajv31vu9D73_R_600_600_R5_D.jpg_.webp",
    "https://ak-d.tripcdn.com/images/02029120008lvukmmFB41_R_600_600_R5_D.jpg_.webp",
    "https://ak-d.tripcdn.com/images/220w0s000000hzre9671C_R_600_600_R5_D.jpg_.webp",
    "https://ak-d.tripcdn.com/images/220k0g000000825piE2DC_R_600_600_R5_D.jpg_.webp",
    "https://ak-d.tripcdn.com/images/22090s000000hw4ow4677_R_600_600_R5_D.jpg_.webp",
    "https://ak-d.tripcdn.com/images/0226912000ajv31vu9D73_R_600_600_R5_D.jpg_.webp",
    "https://ak-d.tripcdn.com/images/02029120008lvukmmFB41_R_600_600_R5_D.jpg_.webp"
  ],
  "last_booked": "Only 2 left at this price",
  "source_url": "https://trip.com/hotels/list?city=192&provinceId=0&countryId=31&checkIn=2025-07-26&checkOut=2025-07-27&lat=0&lon=0&districtId=0&barCurr=USD&searchType=CT&searchWord=Paris&searchValue=undefined&crn=1&adult=2&children=0&searchBoxArg=t&ctm_ref=ix_sb_dl&travelPurpose=0&domestic=false",
  "page_number": 1
}

⚙️ Configuration Options

Parameter	Type	Required	Description
filterArgs	array	Yes	List of Trip.com URLs or search parameters
limitPerPage	number	No	Maximum hotels per page (default: 100)
totalLimit	number	No	Total hotels to scrape (default: 100)

Supported URL Formats

The scraper accepts multiple input formats:

• Full URLs: https://www.trip.com/hotels/search?cityId=...&checkIn=...
• Query parameters: ?cityId=24317&checkIn=2025-07-26&checkOut=2025-07-27
• Search filters: cityId=24317&adult=2&children=0&curr=USD

🌍 Global Coverage

This scraper works with Trip.com's extensive network covering:

• Global Markets: Europe, Americas, Asia-Pacific, Middle East, Africa
• All Hotel Types: Budget, mid-range, luxury, resorts, boutique hotels
• Multiple Currencies: USD, EUR, GBP, CNY, and more
• Localized Content: Support for multiple languages and regions

💼 Use Cases

For Hotel Managers & Revenue Analysts

• Competitive pricing analysis - Monitor competitor prices in real-time
• Market positioning - Understand your hotel's competitive landscape
• Revenue optimization - Identify pricing opportunities and market gaps
• Seasonal trend analysis - Track price fluctuations across seasons

For Market Researchers & Consultants

• Market intelligence - Comprehensive data for hospitality reports
• Investment analysis - Evaluate hotel markets for opportunities
• Demand forecasting - Analyze booking patterns and market demand
• Geographic expansion - Research new markets and landscapes

For Travel & Hospitality Platforms

• Price comparison features - Build competitive price tools
• Market data integration - Feed real-time pricing into platforms
• Analytics dashboards - Create market intelligence dashboards
• API development - Build APIs powered by real-time hotel data

🔧 Technical Details

TypeScript Interface

interface HotelData {
  hotel_id?: string;
  name: string;
  star_rating?: number;
  rating?: number;
  rating_description?: string;
  reviews?: number;
  location?: string;
  room_type?: string;
  occupancy?: number;
  bed_type?: string[];
  room_features?: string[];
  original_price?: number;
  current_price?: number;
  total_price?: number;
  discount?: string;
  promotion_type?: string;
  images?: string[];
  last_booked?: string;
  source_url: string;
  page_number: number;
}

Python Pydantic Model

from pydantic import BaseModel
from typing import Optional, List

class HotelData(BaseModel):
    hotel_id: Optional[str]
    name: str
    star_rating: Optional[int]
    rating: Optional[float]
    rating_description: Optional[str]
    reviews: Optional[int]
    location: Optional[str]
    room_type: Optional[str]
    occupancy: Optional[int]
    bed_type: Optional[List[str]]
    room_features: Optional[List[str]]
    original_price: Optional[float]
    current_price: Optional[float]
    total_price: Optional[float]
    discount: Optional[str]
    promotion_type: Optional[str]
    images: Optional[List[str]]
    last_booked: Optional[str]
    source_url: str
    page_number: int

🎯 Key Features

• Real-time data - Get current pricing and availability information
• Comprehensive coverage - Extract all available hotel details
• Flexible filtering - Use Trip.com's built-in search filters
• Structured output - Clean JSON data ready for analysis
• Scalable - Handle multiple URLs and large datasets
• Reliable - Built with robust error handling and retry logic
• Smart scrolling - Automatically detects end of results
• Rich data extraction - Includes images, room details, and booking insights

🔄 Scrolling and Pagination

The scraper implements intelligent scrolling to load all available hotels:

• Infinite scroll detection - Automatically scrolls until target count reached
• End detection - Recognizes "The following properties meet some of your requirements:" message
• Dynamic loading - Handles Trip.com's dynamic content loading
• Performance optimized - Efficient scrolling with proper wait times

🚀 Get Started Today

Start extracting valuable hotel market data to gain competitive insights and make data-driven decisions in the hospitality industry.

Ready to begin? Configure your scraper and start collecting hotel intelligence now!