Nike Scraper
Scrape Prices and Stock from Nike
Extract sneaker and apparel pricing, size availability, colorways, and stock status from the world's largest athletic brand. Nike draws around 90M monthly visits and sits behind Akamai, which blocks Python requests, cURL, and datacenter proxies. Scrape.do handles it automatically.
Start scraping today with 1000 free credits. No Credit Card Required
90M Monthly Visits. Every Drop and Colorway. One API.
Nike, Inc. is the world's largest athletic footwear and apparel company, selling sneakers, sportswear, and equipment direct-to-consumer through nike.com and the Nike and SNKRS apps, and its catalog pulls in roughly 90M monthly visits worldwide. Founded in 1964 and headquartered in Beaverton, Oregon, its product launches, drops, and markdowns make nike.com one of the most-scraped catalogs in retail.
With Scrape.do you can track sneaker and apparel pricing, monitor SNKRS drops and restocks, capture size and stock availability across colorways, and feed resale-market intelligence, price-comparison, and brand-monitoring tools with live catalog data. All through a single API call.
Akamai. Access Denied. Handled.
Nike sits behind Akamai, whose bot detection fingerprints every request and serves an x-akamai-transformed edge response that refuses Python requests, cURL, and datacenter proxies, dropping the connection or returning an Access Denied reference page instead of product HTML. Repeated hits from the same IP get throttled fast, which breaks naive catalog crawls.
Scrape.do rotates high-quality residential IPs with full browser fingerprints, passes Akamai's bot detection, and returns clean, fully populated product and category HTML. You get pricing, sizing, and stock data without maintaining proxy pools, solving challenges, or babysitting headless browsers, with rates starting around $1 per 1,000 successful requests.
How to Scrape Nike
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.nike.com/t/air-force-1-07-mens-shoes-jBrhbr/CW2288-111"
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">
<head>
<meta charset="utf-8">
<title>Nike Air Force 1 '07 Men's Shoes. Nike.com</title>
</head>
<body>
<nav class="breadcrumb">Home / Men / Shoes / Lifestyle</nav>
<h1 class="headline-2 css-b0kg9x">Nike Air Force 1 '07</h1>
<h2 class="headline-5 css-b0kg9x">Men's Shoes</h2>
<div class="product-price">
<span data-testid="currentPrice-container">$115</span>
</div>
<div class="colorway">Colour Shown: White/White</div>
<div class="style-code">Style: CW2288-111</div>
<fieldset class="size-grid">
<label class="in-stock">7</label>
<label class="in-stock">7.5</label>
<label class="in-stock">8</label>
<label class="disabled">8.5</label>
<label class="in-stock">9</label>
<label class="in-stock">10</label>
</fieldset>
<button class="add-to-cart">Add to Bag</button>
<button class="favorite">Favourite</button>
<div class="description">The radiance lives on in the Nike Air Force 1 '07,
the b-ball icon that puts a fresh spin on what you know best...</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. nike.com sits behind Akamai, which fingerprints requests and refuses Python requests, cURL, and datacenter proxies, either dropping the connection or returning an Access Denied reference page. Scrape.do rotates real residential IPs with full browser fingerprints, passes Akamai bot detection, and returns fully populated product and category HTML. Success rates exceed 95% on product and category pages.
You can extract product names, prices and markdowns, style codes and colorways, size availability and stock status, product descriptions and images, review counts, and full category listings across shoes, apparel, and equipment, valuable for resale intelligence, price comparison, and brand monitoring.
Nike product and category pages return their core price, size, and stock data in the server-rendered HTML, so most requests work without JavaScript execution. If a lazy-loaded section is missing, add render=true so Scrape.do executes the page JavaScript in a real browser, and set geoCode=us for US pricing and availability.
