Apartments.com Scraper
Scrape Listings and Prices from Apartments.com
Extract rental listings, pricing, and availability from the largest online rental marketplace in the US. Apartments.com uses Akamai WAF with IP fingerprinting and session tracking that blocks automated access. Scrape.do handles it automatically.
Start scraping today with 1000 free credits. No Credit Card Required
40M+ Monthly Visits. Every City. One API.
Apartments.com is the largest online rental marketplace in the United States, attracting over 40 million monthly visits across a network of 11 interconnected rental sites. Backed by CoStar Group's data engine and a team that makes over 1 million verification calls per month, it offers the most comprehensive and accurate rental data available.
With Scrape.do you can track rental pricing trends across every US city, monitor unit availability and floor plans, feed pricing models with verified real-time data, and compare listings at scale for investment research. All through a single API call.
Akamai WAF. Session Tracking. Handled.
Apartments.com uses Akamai as its WAF, blocking automated traffic with IP fingerprinting, session tracking, and behavioral analysis. Direct requests from datacenter IPs get an instant "Access Denied" response, and even residential IPs get flagged if request patterns look automated.
Scrape.do rotates high-quality residential IPs with natural request patterns that bypass Akamai's bot detection. You get full listing pages with pricing, availability, floor plans, and amenity data without maintaining proxy infrastructure or dealing with session management.
How to Scrape Apartments.com
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.apartments.com/halletts-point-astoria-ny/1j2c5h6/"
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>Halletts Point - Astoria, NY | Apartments.com</title>
</head>
<body>
<div class="propertyNameRow">
<h1>Halletts Point</h1>
<p class="propertyAddress">10, 20, 30 Halletts Pt, Astoria, NY 11102</p>
</div>
<div class="pricingOverview">
<span class="rentRange">$2,477 - $7,853</span>
<span class="bedRange">Studio - 2 Bd</span>
<span class="bathRange">1 - 2 Ba</span>
<span class="sqftRange">369 - 1,099 Sq Ft</span>
</div>
<div class="ratingsSection">
<span class="rating">4.7</span>
<span class="reviewCount">6 Ratings</span>
</div>
<div class="amenitiesSection">
<span class="amenity">Waterfront</span>
<span class="amenity">Point to Celling Windows</span>
<span class="amenity">Fitness</span>
</div>
<div class="contactSection">
<span class="phone">(929) 552-4252</span>
<button>Request Tour</button>
</div>
<!-- ... remaining page content ... -->
</body>
</html>
Scrape.do has been a game-changer with powerful scraping tools, but what truly sets them apart is their excellent customer support.
CTO
Average Response Time
No tickets connect with expert engineers.
Success rate
Proxies
Faster gateway than the closest competitor.
Reliable, Scalable,Unstoppable Web Scraping
Sounds great, but I have a few questions..
Yes. Scrape.do uses rotating residential proxies with natural request patterns to bypass Apartments.com's Akamai WAF, IP fingerprinting, and session tracking. Success rates exceed 95% on listing and search pages.
You can extract property names, rental price ranges, unit types and sizes, amenities, floor plans, photos, ratings, reviews, property manager contact details, and availability dates.
Use Scrape.do to request any Apartments.com search URL (e.g., apartments.com/new-york-ny/). The HTML response contains all listing cards with prices, addresses, and unit details. No render parameter needed since listings are server-rendered.
