Saks Fifth Avenue Scraper
Scrape Prices and Availability from Saks Fifth Avenue
Extract designer pricing, markdowns, and stock status from one of America's best-known luxury department stores. Saks Fifth Avenue sits behind Cloudflare and blocks bots and datacenter proxies. Scrape.do handles it automatically.
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9.2M Monthly Visits. Thousands of Designers. One API.
Saks Fifth Avenue is an upmarket American luxury department store selling designer fashion, handbags, shoes, beauty, and jewelry from thousands of premium brands at saks.com, drawing over 9 million monthly visits. Its designer catalog carries prices, markdowns, and availability that luxury price-intelligence and assortment scrapers track closely.
With Scrape.do you can track luxury designer pricing and markdowns, benchmark against Neiman Marcus, Bloomingdale's, and Nordstrom, monitor brand and assortment across thousands of labels, and capture sale cadence and stock availability. All through a single API call.

Cloudflare. Unusual Activity. Handled.
Saks Fifth Avenue sits behind Cloudflare, which flags automated traffic and returns a "We're sorry, we've noticed some unusual activity" interstitial to Python requests, cURL, and datacenter proxies, citing bot activity and developer tools instead of serving product data. Category and product pages weigh in around 2MB of HTML, so a naive fetch that trips the challenge returns the block page rather than prices.
Scrape.do rotates high-quality residential IPs with full browser fingerprints, passes Cloudflare's bot detection, and returns fully populated product and category HTML. You get clean pricing and availability data without maintaining proxy pools or headless browsers.

How to Scrape Saks Fifth Avenue
Select a Target

Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.saksfifthavenue.com/c/women-s-apparel/dresses"
render = "false" # set to "true" to enable JavaScript rendering
super = "false" # set to "true" to enable residential proxies
geoCode = "us"
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-US">
<head>
<meta charset="utf-8">
<title>Women's Designer Dresses | Saks Fifth Avenue</title>
</head>
<body>
<nav class="breadcrumb">Women's Clothing / Dresses</nav>
<h1 class="category-title">WOMEN'S DESIGNER DRESSES</h1>
<div class="item-count">10,151 Items</div>
<ul class="product-grid">
<li class="product-tile">
<span class="product-brand">Ralph Lauren Collection</span>
<span class="product-name">Farley Velvet Strapless Gown</span>
<span class="price">$3,890</span>
<span class="badge">New</span>
</li>
<li class="product-tile">
<span class="product-brand">Lela Rose</span>
<span class="product-name">Flocked Taffeta Velvet-Draped Midi Dress</span>
<span class="price">$1,295</span>
</li>
<!-- ... remaining product tiles ... -->
</ul>
</body>
</html>
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Sounds great, but I have a few questions..
Yes. saksfifthavenue.com sits behind Cloudflare, which flags automated traffic and returns a "We're sorry, we've noticed some unusual activity" interstitial to Python requests, cURL, and datacenter proxies. Scrape.do rotates real residential IPs with full browser fingerprints, passes Cloudflare bot detection, and returns fully populated product and category HTML. If a request is still challenged, add super=true to route through premium residential IPs.
You can extract designer and brand names, product names, prices and markdowns, sale and promotion badges, size and color variants, stock availability, and full category listings with item counts and filters across fashion, handbags, shoes, beauty, and jewelry.
Saks Fifth Avenue is a US retailer, so set geoCode=us to get consistent US pricing, currency, and availability. Category and product HTML is served on the initial response, so a plain request usually returns prices without render=true; add rendering only if you need client-side elements that load after the initial HTML.


