How to Scrape Booking.com Hotel Data

Booking.com is the world's largest accommodation platform. Scraping it enables hotel price comparison, travel analytics, and competitive intelligence for the hospitality industry.

Valuable Data Points

Data Point	Use Case
Hotel prices	Price comparison and monitoring
Guest reviews	Sentiment analysis
Availability	Demand forecasting
Amenities	Feature comparison
Location data	Geographic analysis
Star ratings	Quality benchmarking

The Challenge

Booking.com has strong anti-scraping measures:

• Dynamic pricing loaded via JavaScript
• CAPTCHA challenges
• IP-based rate limiting
• Session-based content variation

Recommended: Use ScraperAPI

ScraperAPI handles Booking.com's anti-bot measures, including JavaScript rendering and CAPTCHA bypass.

import requests
from bs4 import BeautifulSoup

API_KEY = "YOUR_SCRAPERAPI_KEY"
url = "https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-06-01&checkout=2026-06-05"

resp = requests.get(
    f"http://api.scraperapi.com?api_key={API_KEY}&url={url}&render=true"
)
soup = BeautifulSoup(resp.text, "html.parser")

Extracting Hotel Data

hotels = soup.select("[data-testid='property-card']")
for hotel in hotels:
    name = hotel.select_one("[data-testid='title']")
    price = hotel.select_one("[data-testid='price-and-discounted-price']")
    score = hotel.select_one("[data-testid='review-score']")
    
    print(f"Hotel: {name.text.strip() if name else 'N/A'}")
    print(f"Price: {price.text.strip() if price else 'N/A'}")
    print(f"Score: {score.text.strip() if score else 'N/A'}")

Tips for Better Results

1. Set specific dates, Prices only show with check-in and check-out dates
2. Vary search parameters, Prices change by currency, guest count, and filters
3. Monitor over time, Hotel prices fluctuate daily
4. Use ScrapingAnt as backup, Switch providers if one gets blocked
5. Parse the JSON data, Booking.com embeds structured data in script tags

Handling Pagination

Booking.com uses offset-based pagination with the offset parameter, typically in increments of 25.

for offset in range(0, 100, 25):
    url = f"https://www.booking.com/searchresults.html?ss=Paris&offset={offset}"
    # Fetch and parse each page

Legal Considerations

Booking.com's Terms of Service restrict automated scraping. Use data for personal analysis only and avoid commercial redistribution without proper licensing.