Sainsbury's Scraper
Scrape Products and Prices from Sainsbury's
Extract grocery prices, promotions, and product data from the UK's second-largest supermarket chain. Sainsbury's uses Akamai WAF with geo-restrictions that block non-UK traffic and standard scrapers. Scrape.do handles them automatically.
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24M+ Monthly Visits. Every Aisle. One API.
Sainsbury's is the second-largest supermarket chain in the UK, attracting over 24 million monthly visits across its online grocery platform. From fresh produce to household essentials, it lists tens of thousands of products with real-time pricing, Nectar loyalty deals, and delivery slot availability.
With Scrape.do you can track competitor pricing across grocery categories, monitor promotional offers and price changes, feed pricing models with accurate real-time data, and compare stock levels across 1,400+ UK locations. All through a single API call.
Akamai WAF. Geo-Restricted. Handled.
Sainsbury's uses Akamai as its WAF, blocking automated traffic with IP fingerprinting and session tracking. The site is also geo-restricted to the UK, meaning requests from outside Britain get a hard "Access Denied" before any content loads.
Scrape.do routes requests through UK-based residential IPs with the geoCode=gb parameter, bypassing both the geo-restriction and Akamai's bot detection. You get full product pages with pricing, nutrition data, and availability without maintaining proxy lists or dealing with regional blocks.
How to Scrape Sainsbury's
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.sainsburys.co.uk/gol-ui/Product/sainsburys-sweet-potato--quinoa---lentil-burger-x4-350g"
render = "true" # set to "false" to disable JavaScript rendering
super = "true" # set to "false" to disable residential proxies
geoCode = "GB"
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>Sainsbury's Sweet Potato, Quinoa & Lentil Burgers x4 350g | Sainsbury's</title>
</head>
<body>
<div class="pd__header">
<h1>Sainsbury's Sweet Potato, Quinoa & Lentil Burgers x4 350g</h1>
</div>
<div class="pd__cost">
<span class="pd__cost__retail-price">£2.15</span>
<span class="pd__cost__unit-price">£6.14/kg</span>
</div>
<div class="pd__rating">
<span class="star-rating">4.5 out of 5</span>
<span class="review-count">71 reviews</span>
</div>
<div class="pd__description">
<p>Burger made from Sweet Potato, Quinoa & Bulgur Wheat and Seasoned with fragrant spices</p>
</div>
<div class="pd__nutrition">
<span class="energy">196kcal per serving</span>
<span class="protein">4.9g</span>
<span class="fat">7.4g</span>
</div>
<div class="pd__image">
<img src="https://assets.sainsburys-groceries.co.uk/...image1.jpg">
</div>
<!-- ... remaining page content ... -->
</body>
</html>
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Sounds great, but I have a few questions..
Yes. Scrape.do uses UK-based residential proxies with the geoCode=gb parameter to bypass Sainsbury's Akamai WAF and geo-restrictions. Success rates exceed 95% on product and category pages.
You can extract product titles, prices, unit prices, Nectar loyalty offers, nutritional information, customer reviews, product images, stock availability, and category listings.
Sainsbury's is geo-restricted to the UK. Requests from outside Britain are blocked by Akamai before reaching the site. Use Scrape.do with geoCode=gb and super=true to route through UK residential IPs and bypass the restriction.
