Housing.com Scraper
Scrape Listings, Rents, and Locality Insights from Housing.com
Extract property rents, sale prices, BHK distributions, and locality insights from one of India's leading real estate portals. Housing.com sits behind an Akamai WAF that blocks plain HTTP requests, headless browsers, and most rotating proxies on sight, and gives non-India traffic the slow lane. Scrape.do handles them automatically.
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13.6M Monthly Visits. REA India's Flagship Portal. One API.
Housing.com is the consumer flagship of REA India, a subsidiary of Australia-listed REA Group and majority owned by News Corp. It pulls in around 13.6M monthly visits with 86% of traffic from India in 2026, covers 40+ Indian cities, and sits alongside sister brands PropTiger and Makaan under the same parent.
For scrapers this is the dataset for Indian residential real estate. With Scrape.do you can pull per-square-foot benchmarks across every Indian metro, monitor new project launches from developers like Lodha, Prestige, and DLF, track BHK-level rent distributions in localities like Whitefield, HSR Layout, or Bandra, and feed valuation models, lead-gen tools, and Indian PropTech analytics with real-time inventory through a single API call.
Akamai WAF. India-Geo Throttling. Handled.
Housing.com is one of the most aggressively protected real estate portals in India. Plain HTTP requests return 502s, headless browsers get caught by Akamai's sensor fingerprint and rotation challenges, and standard datacenter or residential rotation still trips Akamai's behavior models within a handful of requests. Non-Indian traffic is also deprioritized, with slower responses and partial pages.
Scrape.do routes Housing.com requests through high-trust residential IPs with full Akamai bypass, rotates sessions automatically, and dodges the rate-limit thresholds that kill homemade scrapers in minutes. No proxy lists, no captcha solvers, no sensor reverse-engineering, with success rates above 95% on listing, detail, and locality pages.
How to Scrape Housing.com
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.housing.com/rent/19814240-1421-sqft-3-bhk-apartment-on-rent-in-new-town-kolkata"
render = "false" # set to "true" to enable JavaScript rendering
super = "true" # set to "false" to disable residential proxies
encodedUrl = urllib.parse.quote(targetUrl)
url = f"https://api.scrape.do/?token={token}&url={encodedUrl}&render={render}&super={super}"
response = requests.get(url)
print(response.text)Get HTML
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>3 BHK Flat for Rent in Shrachi Greenwood Nest, New Town, Kolkata | Housing.com</title>
</head>
<body>
<div class="propertyHeader">
<h1 class="propertyHeader__title">3 BHK Flat for Rent in Shrachi Greenwood Nest</h1>
<p class="propertyHeader__locality">New Town Action Area 1, New Town, Kolkata</p>
</div>
<div class="priceWrap">
<span class="priceWrap__rent">₹36,000/month</span>
<span class="priceWrap__breakup">Price breakup</span>
</div>
<div class="keyHighlights">
<span class="keyHighlights__area">1,421 sqft Built-up</span>
<span class="keyHighlights__furnishing">Unfurnished</span>
<span class="keyHighlights__bathrooms">2 Bathrooms</span>
<span class="keyHighlights__availability">Available now</span>
<span class="keyHighlights__floor">5 of 12 floors</span>
<span class="keyHighlights__parking">1 Parking</span>
</div>
<div class="seller">
<span class="seller__name">SopnoNir RealEstate</span>
<span class="seller__phone">+91-76030.....</span>
<a class="seller__profile" href="/agent/sopnonir-realestate">See seller profile</a>
</div>
<div class="description">
<p>If you are looking for a modern house on rent in Kolkata, this Flat in New Town can be your perfect home. It is a 3 BHK Flat designed to meet your space and lifestyle needs...</p>
</div>
<div class="amenities">
<span>Lift</span>
<span>Power Backup</span>
<span>Security</span>
<span>Gymnasium</span>
</div>
<!-- ... remaining page content ... -->
</body>
</html>
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Sounds great, but I have a few questions..
Yes. Scrape.do routes Housing.com requests through high-trust residential IPs with built-in Akamai bypass, rotates sessions automatically, and handles the IP-based rate limits that block back-to-back requests. Success rates exceed 95% on detail, listing, and locality pages.
You can extract property titles, sale prices, monthly rents, price per square foot, carpet and built-up area, BHK and bathroom counts, furnishing status, availability and floor details, amenities, locality and city, posted-by (owner, dealer, builder), seller and agent contact details, listing photos, and locality-level price trends and heat maps.
Housing.com deprioritizes non-Indian traffic with slower responses and partial pages, so Indian IPs return cleaner HTML faster. Scrape.do handles this automatically when you pass super=true; you do not need to maintain your own India residential proxy pool.
