Homes.com Scraper: Intelligent Property Insights and Market Intelligence

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_homes_property(url):
    """
    Scrapes property details from a Homes.com listing page.
    Returns structured property information.
    """
    response = requests.get(url, headers=HEADERS)
    if response.status_code != 200:
        return None

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

    return {
        "Property_Title": soup.find("h1", {"class": "property-title"}).text.strip()
            if soup.find("h1", {"class": "property-title"}) else "N/A",
        "Price": soup.find("span", {"class": "property-price"}).text.strip()
            if soup.find("span", {"class": "property-price"}) else "N/A",
        "Address": soup.find("div", {"class": "property-address"}).text.strip()
            if soup.find("div", {"class": "property-address"}) else "N/A",
        "Agent_Name": soup.find("div", {"class": "listing-agent"}).text.strip()
            if soup.find("div", {"class": "listing-agent"}) else "N/A"
    }

# Example Homes.com property URL
homes_url = "https://www.homes.com/property/example"
property_data = scrape_homes_property(homes_url)
print(property_data)