Trivago Scraper: Real-Time Travel Data through Intelligent Hotel Analytics

import requests
from bs4 import BeautifulSoup

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

def scrape_trivago_hotel(url):
    response = requests.get(url, headers=HEADERS)
    
    if response.status_code != 200:
        print("Failed to fetch page:", response.status_code)
        return None
    
    soup = BeautifulSoup(response.text, "lxml")

    # Extract hotel details
    hotel_name = soup.find("h1")
    price = soup.find("span", {"data-testid": "recommended-price"})
    rating = soup.find("span", {"itemprop": "ratingValue"})
    location = soup.find("span", {"data-testid": "address"})
    availability = soup.find("button", {"data-testid": "availability-cta"})

    hotel_data = {
        "Hotel_Name": hotel_name.text.strip() if hotel_name else "N/A",
        "Price_Per_Night": price.text.strip() if price else "N/A",
        "Rating": rating.text.strip() if rating else "N/A",
        "Location": location.text.strip() if location else "N/A",
        "Availability_Status": availability.text.strip() if availability else "Check Site"
    }

    return hotel_data

# Example Trivago hotel URL
trivago_url = "https://www.trivago.com/en-IN/example-hotel"

data = scrape_trivago_hotel(trivago_url)

# Print extracted data
print(data)