PropertyGuru Scraper: Real-Time Property Listings and Investment Insights Engine

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_propertyguru_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, "html.parser")

    return {
        "Property Title": soup.select_one("h1").get_text(strip=True) if soup.select_one("h1") else "N/A",
        "Price": soup.select_one(".price").get_text(strip=True) if soup.select_one(".price") else "N/A",
        "Location": soup.select_one(".location").get_text(strip=True) if soup.select_one(".location") else "N/A",
        "Property Type": soup.select_one(".property-type").get_text(strip=True) if soup.select_one(".property-type") else "N/A",
        "Listing Status": soup.select_one(".listing-status").get_text(strip=True) if soup.select_one(".listing-status") else "N/A"
    }

# Example PropertyGuru listing URL
property_url = "https://www.propertyguru.com/property/example"

listing_data = scrape_propertyguru_listing(property_url)

# Print extracted data
print(listing_data)