Priceline Scraper: Comprehensive Hotel, Flight and Rental Data Monitoring

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 collect_hotel_details(page_url):
    result = requests.get(page_url, headers=REQUEST_HEADERS, timeout=15)

    if result.status_code != 200:
        return {"error": f"Request failed with status {result.status_code}"}

    document = BeautifulSoup(result.text, "html.parser")

    def extract(selector):
        element = document.select_one(selector)
        return element.get_text(" ", strip=True) if element else "N/A"

    return {
        "Hotel_Name": extract("h1"),
        "Location": extract(".hotel-location"),
        "Price": extract(".hotel-price"),
        "Rating": extract(".hotel-rating"),
        "Availability": extract(".availability"),
        "Room_Type": extract(".room-type")
    }

# Example travel listing URL
priceline_url = "https://www.priceline.com/hotel/example"

hotel_data = collect_hotel_details(priceline_url)
print(hotel_data)

Sample Output:
{
    'Hotel_Name': 'Example Downtown Hotel',
    'Location': 'New York, NY',
    'Price': '$189 per night',
    'Rating': '4.3/5',
    'Availability': 'Available',
    'Room_Type': 'King Room'
}