LoopNet Scraper
Scrape Listings and Prices from LoopNet
Extract commercial property listings, lease rates, and investment metrics from the largest online commercial real estate marketplace. LoopNet uses Akamai WAF with aggressive IP blocking that shuts down automated access. Scrape.do handles it automatically.
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11M+ Monthly Visits. Every Market. One API.
LoopNet is the most heavily trafficked commercial real estate marketplace in the US, pulling in over 11 million monthly visits with 6x the traffic of its closest competitor. It hosts 300,000+ active listings across office, retail, industrial, and specialty spaces with over $380 billion in transaction value.
With Scrape.do you can track lease rates and sale prices across every major US market, monitor cap rates and investment metrics, feed valuation models with real-time commercial property data, and compare listings at scale. All through a single API call.
Akamai WAF. IP Blocking. Handled.
LoopNet uses Akamai as its WAF, instantly blocking automated requests with an "Access Denied" response. The site monitors IP addresses aggressively and blocks datacenter proxies on sight, making bulk extraction impossible with standard tools.
Scrape.do routes requests through high-quality residential IPs that bypass Akamai's bot detection and IP fingerprinting. You get full property listings with pricing, square footage, and broker details without maintaining proxy lists or dealing with rotating blocks.
How to Scrape LoopNet
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.loopnet.com/Listing/412-Broadway-New-York-NY/36028007/"
render = "false" # set to "true" to enable JavaScript rendering
super = "false" # set to "true" to enable 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>412 Broadway - Office Space for Lease | LoopNet</title>
</head>
<body>
<div class="profile-hero">
<h1>412 Broadway</h1>
<p class="subtitle">4,300 - 16,900 SF of Office Space Available</p>
<p class="location">New York, NY 10013</p>
</div>
<div class="highlights">
<span class="highlight">Prime Foot Traffic</span>
<span class="highlight">Fully Built-Out</span>
<span class="highlight">Hardwood Floors</span>
</div>
<div class="spaces-available">
<div class="space">
<span class="floor">3rd Floor</span>
<span class="size">4,300 SF</span>
<span class="rate">Display Rental Rate as: $3/SF/mo</span>
</div>
</div>
<div class="contacts">
<span class="broker">Alex Fleischman</span>
<span class="broker">Ken Lerner</span>
</div>
<!-- ... remaining page content ... -->
</body>
</html>
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Sounds great, but I have a few questions..
Yes. Scrape.do uses rotating residential proxies to bypass LoopNet's Akamai WAF and IP-based blocking. Success rates exceed 95% on listing and search result pages.
You can extract property addresses, listing prices and lease rates, square footage, property type, building highlights, available spaces, broker contact information, and listing photos.
LoopNet uses Akamai WAF which blocks datacenter IPs and automated traffic patterns on sight. Use Scrape.do to route through residential proxies that appear as normal browser traffic, bypassing the IP-level blocking.
