Airbnb Scraper: Real-Time Property Listings and Pricing Data Intelligence

import requests
from bs4 import BeautifulSoup

# Headers to mimic a real browser
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_airbnb_listing(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")

    listing_data = {
        "Property_Name": soup.find("h1", {"class": "listing-title"}).text.strip() if soup.find("h1", {"class": "listing-title"}) else "N/A",
        "Price_Per_Night": soup.find("span", {"class": "listing-price"}).text.strip() if soup.find("span", {"class": "listing-price"}) else "N/A",
        "Rating": soup.find("span", {"class": "listing-rating"}).text.strip() if soup.find("span", {"class": "listing-rating"}) else "N/A",
        "Reviews_Count": soup.find("span", {"class": "review-count"}).text.strip() if soup.find("span", {"class": "review-count"}) else "N/A",
        "Availability_Status": soup.find("div", {"class": "availability-status"}).text.strip() if soup.find("div", {"class": "availability-status"}) else "N/A"
    }

    return listing_data

# Example Airbnb listing URL (Replace with an actual Airbnb listing URL)
airbnb_listing_url = "https://www.airbnb.com/rooms/example"

data = scrape_airbnb_listing(airbnb_listing_url)

# Print extracted data
print(data)