Browser7

Use Cases / Real Estate Data

Real Estate Data Collection

Investors, analysts, and property management companies use web scraping to aggregate listing data from across the market. Instead of checking multiple sites manually, automated collection gives you a complete view of pricing, inventory, and trends across entire markets.

What data you can collect

Listing details

  • Asking price and price history
  • Address and neighborhood
  • Beds, baths, square footage
  • Listing date and days on market
  • Property type and year built

Market metrics

  • Median prices by neighborhood
  • Inventory levels over time
  • Price per square foot trends
  • Days on market averages
  • New listings vs. sold volume

Rental data

  • Monthly rent prices
  • Vacancy indicators
  • Amenities and features
  • Landlord and management info
  • Rental yield calculations

Vacation rentals

  • Nightly rates by season
  • Occupancy indicators
  • Guest reviews and ratings
  • Property features and capacity
  • Host response rates

Scrape property listings from Zillow

This example scrapes Zillow search results for a specific market and extracts listing prices, addresses, and URLs. Zillow uses PerimeterX anti-bot protection, which Browser7 handles automatically.

from browser7 import Browser7
from bs4 import BeautifulSoup
import json

client = Browser7(api_key="b7_your_api_key")

result = client.render(
    "https://www.zillow.com/syracuse-ny/",
    country_code="US",
)

soup = BeautifulSoup(result.html, "html.parser")

listings = []
for card in soup.select("article.property-card"):
    price = card.select_one("[data-test='property-card-price']")
    address = card.select_one("address")
    link = card.select_one("a[data-test='property-card-link']")

    listings.append({
        "price": price.get_text(strip=True) if price else None,
        "address": address.get_text(strip=True) if address else None,
        "url": link.get("href", "") if link else None,
    })

print(json.dumps(listings[:10], indent=2))

CSS selectors may change if the site updates their page structure. See our Zillow scraping guide for the latest verified selectors and individual property page parsing.

Common data sources

Listing platforms

Zillow, Realtor.com, Redfin, and Trulia are the primary sources for US residential listings. Each has different data points and coverage areas. Scraping multiple platforms gives you the most complete picture of any market.

Vacation rental sites

Booking.com, Airbnb, and VRBO list vacation rentals with nightly rates, availability, and guest reviews. This data is valuable for investors evaluating short-term rental potential in a market.

Local and international platforms

Outside the US, platforms like Rightmove (UK), Immobilienscout24 (Germany), and Domain (Australia) are the primary sources. Browser7's geo-targeting ensures you scrape these with a local IP for accurate results.

Why Browser7 works well for real estate data

Geo-targeting for local accuracy

Real estate sites serve different results based on location. Some restrict content to visitors from specific regions. With Browser7, you can scrape from a US IP for Zillow, a UK IP for Rightmove, or a German IP for Immobilienscout24 - ensuring you see the same listings local buyers see.

Handles anti-bot protection

Zillow uses PerimeterX, Realtor.com uses Cloudflare, and most listing sites have some form of bot detection. Browser7's residential proxies and real browser rendering bypass these protections without custom workarounds.

JavaScript rendering for dynamic listings

Real estate sites load listings dynamically with JavaScript. Map-based searches, infinite scroll, and filtered results all require a real browser to render. Browser7 handles this by default - every request runs in a full Chrome browser.

What this costs

Every page costs $0.01. A typical Zillow search results page shows 40 listings, so scraping all listings in a mid-size city (2,000 active listings across 50 search pages) costs $0.50. Scraping individual property pages for detailed data on all 2,000 listings would cost an additional $20.

Related guides

Try it yourself

100 free renders - enough to test real estate scraping on any listing site, no payment required.