Carrefour Scraper
Scrape Prices and Availability from Carrefour
Extract grocery prices, promotions, and product data from one of the world's largest retailers. Carrefour fronts carrefour.fr and carrefour.es with Cloudflare and blocks bots. Scrape.do handles it automatically.
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25M Monthly Visits. #1 in Groceries. One API.
Carrefour is one of the largest retailers in the world, and carrefour.fr is the #1 groceries site in its category with 25 million monthly visits. Between France (carrefour.fr) and Spain (carrefour.es), its online catalogs carry real-time prices, promotions, and nutritional data in euros across huge grocery and general-merchandise assortments, which is exactly what price-intelligence scrapers track.
With Scrape.do you can track grocery pricing and promotions across carrefour.fr and carrefour.es, monitor private-label and assortment changes, capture price-per-kilo and nutritional data, and benchmark prices across country sites. All through a single API call.
Cloudflare. Bot Verification. Handled.
Carrefour fronts its storefronts with Cloudflare, which serves a branded "C'est une formalité… si vous êtes un humain" challenge to any request that is not a real browser, including Python requests, cURL, and datacenter proxies. Product pages also load prices client-side, so even past the challenge a raw fetch returns a page with no price.
Scrape.do rotates high-quality residential IPs with full browser fingerprints, clears the Cloudflare challenge, and renders the JavaScript so you receive fully populated product and category HTML. You get clean pricing and promotion data from carrefour.fr (or carrefour.es with geoCode=es) without maintaining proxy pools or CAPTCHA solvers.
How to Scrape Carrefour
Select a Target
Send API Request
import requests
import urllib.parse
token = "<SDO-token>"
targetUrl = "https://www.carrefour.fr/p/pate-a-tartiner-noisettes-et-cacao-nutella-3017620429484"
render = "false" # set to "true" to enable JavaScript rendering
super = "false" # set to "true" to enable residential proxies
geoCode = "fr"
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="fr">
<head>
<meta charset="utf-8">
<title>Pâte à Tartiner Noisettes et Cacao NUTELLA - Carrefour</title>
</head>
<body>
<h1 class="product-title">Pâte à Tartiner Noisettes et Cacao NUTELLA 825g</h1>
<div class="product-price">
<span class="price">6,49 €</span>
<span class="price-per-unit">7,87 €/kg</span>
</div>
<div class="rating"><span class="stars">4.5</span><span class="count">(35)</span></div>
<div class="ingredients">sucre, huile de palme, NOISETTES 13%, LAIT écrémé en poudre 8,7%, cacao maigre 7,4%...</div>
<div class="nutrition" data-per="100g"><!-- valeurs nutritionnelles --></div>
<button class="add-options">Voir les options d'achat</button>
<!-- ... remaining page content ... -->
</body>
</html>
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Sounds great, but I have a few questions..
Yes. carrefour.fr and carrefour.es are fronted by Cloudflare, which shows a branded "verify you are human" challenge to any request that is not a real browser, including Python requests, cURL, and datacenter proxies. Scrape.do rotates real residential IPs with full browser fingerprints, clears the Cloudflare challenge, and renders JavaScript to return fully populated product and category HTML. Success rates exceed 95% on product and category pages.
You can extract product titles, prices and price-per-kilo, promotions and loyalty offers, customer ratings, ingredients and nutritional values, product images, and full category listings across groceries and general merchandise on carrefour.fr and carrefour.es.
Carrefour runs separate storefronts per country, carrefour.fr for France and carrefour.es for Spain, each with its own catalog and euro pricing. Request the country site you want with Scrape.do and set geoCode=fr or geoCode=es so the request routes through a local IP and returns the same prices and promotions a local shopper would see.
