Nuroa Scraper: Property Listings, Rental Prices and Market Data Extraction

import requests
from bs4 import BeautifulSoup

REQUEST_HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
                  "AppleWebKit/537.36 (KHTML, like Gecko) "
                  "Chrome/139.0 Safari/537.36",
    "Accept-Language": "en-US,en;q=0.8"
}


def collect_nuroa_listing(listing_url):
    try:
        page = requests.get(
            listing_url,
            headers=REQUEST_HEADERS,
            timeout=15
        )
        page.raise_for_status()

    except requests.RequestException as error:
        print(f"Request failed: {error}")
        return None

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

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

    listing = {
        "Property_Title": get_value("h1"),
        "Property_Price": get_value(".price"),
        "Location": get_value(".location"),
        "Property_Type": get_value(".property-type"),
        "Bedrooms": get_value(".bedrooms"),
        "Bathrooms": get_value(".bathrooms"),
        "Availability": get_value(".availability")
    }

    return listing

# Example listing URL
nuroa_listing_url = "https://www.nuroa.com/example-listing"

property_data = collect_nuroa_listing(nuroa_listing_url)

if property_data:
    print(property_data)