Booking.com Scraper: Reliable Travel Intelligence for Smarter Market Decisions

import requests
from bs4 import BeautifulSoup

REQUEST_HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9"
}

def scrape_booking_hotel(hotel_url):
    response = requests.get(hotel_url, headers=REQUEST_HEADERS, timeout=15)
    if response.status_code != 200:
        return None

    soup = BeautifulSoup(response.text, "lxml")

    hotel_name = soup.select_one("h2.pp-header__title")
    room_price = soup.select_one("span.prco-valign-middle-helper")
    rating_score = soup.select_one("div.b5cd09854e")
    availability_status = soup.select_one("span.hprt-roomtype-icon-link")

    return {
        "Hotel_Name": hotel_name.get_text(strip=True) if hotel_name else "Not Available",
        "Room_Price": room_price.get_text(strip=True) if room_price else "Not Available",
        "Guest_Rating": rating_score.get_text(strip=True) if rating_score else "Not Available",
        "Availability": availability_status.get_text(strip=True) if availability_status else "Check Required"
    }

# Example Booking.com hotel URL
booking_hotel_url = "https://www.booking.com/hotel/example.html"
hotel_data = scrape_booking_hotel(booking_hotel_url)

# Print extracted data
print(hotel_data)