Zimmo Scraper: Advanced Property Data Collection for Real Estate Market Insights

import requests
from bs4 import BeautifulSoup

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

def collect_zimmo_listing(listing_url):
page = requests.get(listing_url, headers=REQUEST_HEADERS, timeout=20)

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

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

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

property_data = {
"Property_Title": extract("h1"),
"Property_Price": extract(".price"),
"Property_Type": extract(".property-type"),
"Location": extract(".location"),
"Bedrooms": extract(".bedrooms"),
"Area": extract(".surface-area"),
"Availability": extract(".availability"),
}
return property_data

# Example Zimmo listing URL
zimmo_listing_url = "https://www.zimmo.be/example-property/"
listing = collect_zimmo_listing(zimmo_listing_url)
print(listing)