Magicbricks Scraper
Scrape Listings and Prices from Magicbricks
Extract property listings, asking prices, and price-per-sqft from India's largest real estate portal. Magicbricks guards its site with Akamai and returns an Access Denied page to bots. Scrape.do handles it automatically.
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18.4M Monthly Visits. Every City. One API.
Magicbricks is India's #1 property portal with over 18 million monthly visits, listing residential and commercial property for sale and rent across every major Indian city, plus new projects and home loans. Owned by Times Internet, it shows asking prices in rupees and price-per-square-foot on every listing, making it a primary source for Indian property pricing.
With Scrape.do you can track asking prices and price-per-sqft trends by locality and city, monitor new-project and builder listings, capture rental rates and inventory volume, and feed valuation models and market analytics. All through a single API call.
Akamai. Access Denied. Handled.
Magicbricks sits behind Akamai, which returns an Access Denied reference page from errors.edgesuite.net to any request that is not a real browser, including Python requests, cURL, and datacenter proxies. Bulk requests from a single IP trip the block instantly, cutting off large-scale extraction with standard tools.
Scrape.do rotates high-quality residential IPs with full browser fingerprints, passes Akamai's bot detection automatically, and returns fully rendered listing and search HTML. You get clean pricing and property data without maintaining proxy pools or solving challenges.
How to Scrape Magicbricks
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.magicbricks.com/propertyDetails/3-BHK-2000-Sq-ft-Multistorey-Apartment-FOR-Sale-Thanisandra-Main-Road-in-Bangalore&id=4d423835373535383131"
render = "false" # set to "true" to enable JavaScript rendering
super = "false" # set to "true" to enable residential proxies
geoCode = "in"
encodedUrl = urllib.parse.quote(targetUrl)
url = f"https://api.scrape.do/?token={token}&url={encodedUrl}&render={render}&super={super}&geoCode={geoCode}"
response = requests.get(url)
print(response.text)Get HTML
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>3 BHK Flat for Sale in Thanisandra Main Road, Bangalore - Magicbricks</title>
</head>
<body>
<h1 class="mb-ldp__dtls__title">3 BHK Apartment for Sale in Purva Atmosphere, Thanisandra Main Road</h1>
<div class="mb-ldp__dtls__body__summary">
<span class="beds">3 Beds</span>
<span class="baths">3 Baths</span>
<span class="furnish">Semi-Furnished</span>
</div>
<div class="mb-ldp__dtls__body__list">
<span class="area">Super Built-Up Area: 2000 sqft</span>
<span class="rate">₹15,500/sqft</span>
<span class="floor">15 (Out of 34 Floors)</span>
<span class="facing">North</span>
</div>
<div class="mb-ldp__dtls__price">
<span class="price">₹3.1 Cr</span>
</div>
<div class="address">Thanisandra Main Road, Bangalore - North, Karnataka</div>
<!-- ... remaining page content ... -->
</body>
</html>
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Sounds great, but I have a few questions..
Yes. magicbricks.com sits behind Akamai, which returns an Access Denied reference page from errors.edgesuite.net to any request that is not a real browser, including Python requests, cURL, and datacenter proxies. Scrape.do rotates real residential IPs with full browser fingerprints, passes Akamai bot detection automatically, and returns fully rendered listing and search HTML. Success rates exceed 95% on listing and search pages.
You can extract property titles, asking prices (in rupees and crores), price-per-square-foot, super built-up area, number of bedrooms and bathrooms, floor, facing, furnishing status, developer and project names, location down to locality and city, and agent contact details across for-sale and for-rent listings.
Magicbricks organizes listings by city in the URL (for example /property-for-sale-rent-in-Mumbai/residential-real-estate-Mumbai). Request the search URL for the city you want with Scrape.do, and set geoCode=in so the request routes through an Indian IP and returns the same listings and prices a local user would see.
