We build the crawler, run it and keep it working when the site changes. You receive CSV, JSON, XLSX or an API endpoint, on the cadence the job needs: daily for price and promotion tracking, weekly or monthly for assortment and label audits.
Scope is set per run. One store or a named list of Drive sites, one delivery mode or several kept apart, whole categories or a watchlist of references. Every row carries the store, the mode and the collection timestamp, so two extracts taken weeks apart stay comparable.
Requests are paced modestly and robots.txt is read before a crawl is planned. Auchan disallows /recherche, sorted views and a set of query parameters, so we work from the sitemaps and the category tree instead.
A run is planned from the sitemaps and the category tree, then executed against product pages with one store and one delivery mode pinned for the batch. These are the fields that come back.
The first surprise is that the page looks complete and is not. Requested without a store, a grocery product page returns full descriptive markup, the nutrition table, the ingredient text and the EAN, but where the price belongs there is a line reading "Vous voulez connaître le prix de ce produit ?", do you want to know the price of this product, and a button labelled "Afficher le prix", show the price. A naive scrape of Auchan finishes without errors and quietly returns a catalogue with no prices in it. An Internet Archive capture of one such page dated 2026-02-18 shows the same button, which is a fair reminder that no crawler gets a price here by accident.
Auchan calls the store and delivery mode pairing a journey, and prompts for it with "Choisir vos courses", choose your shopping, and "Choisir mon mode de livraison", choose my delivery mode. Passing a store identifier in the query string is not enough on its own, so the context has to be established as a session and then held steady for the whole run.
The second surprise is that one domain holds two pricing regimes. General merchandise pages return a price with no store chosen at all, and carry a marketplace seller label instead. Grocery is store scoped, everything else is not, and the two need different crawl logic even though the URL shape is identical.
Auchan runs hypermarkets, supermarkets and Drive collection points across France, and auchan.fr is the single storefront in front of all of them. The URL grammar is regular enough to plan a crawl against. A product sits at a slug followed by a pr- token, as in /charles-alice-specialite-pommes-mangues-sans-sucres-ajoutes/pr-C1177497. A category ends in ca-, an editorial page in ep-, and a store page in s-.
The sitemap index at /sitemap.xml splits into stores, contents, products and categories. Measured on 2026-08-27, the product sitemaps carried 312,955 URLs across seven files, the category sitemap carried 6,430, and the store sitemap carried 928 store pages: 317 filed under supermarche, 316 under drive, 149 under hypermarche, 128 under click-and-collect and 18 under consigne, the deposit return points. Those totals move, so we date every count we report.
The group also trades in Poland, Spain, Portugal, Romania, Hungary and Luxembourg, but none of those is the same website. auchan.pl answers from a WordPress stack, auchan.pt uses Salesforce Commerce Cloud filter parameters and a /pesquisa search path, and the Spanish business trades as Alcampo on compraonline.alcampo.es. The pr- reference scheme belongs to France alone, so a French reference does not resolve on a sibling country site and each market needs its own crawler.
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Auchan is a price reference in French grocery, and its Drive network puts a quotable figure on a national catalogue store by store. That combination is what most buyers are after.
Brands and category managers use it to see where their references sit on the shelf, which pack sizes are stocked, and whether a promotion ran everywhere or in a handful of Drive sites. Because the price per kilo or litre is published next to the pack price, a pack that shrinks while the ticket holds still shows up as a movement in the unit figure.
Retail and pricing teams compare a fixed basket across Auchan stores, or against other French banners, on a schedule they control. Private label work is a common case: Auchan sells a deep own-brand range, and tracking it beside national brands shows how the gap moves through a promotion cycle.
Analysts and food data teams want the label side. Ingredients, origin, the legal sales name and the nutrition table are all present in the page source, which makes auchan.fr a workable source for reformulation and compliance work as well as Auchan price monitoring.
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If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed web scraping team. We take the requirement, agree the fields and the schedule, then own the crawler for as long as you need the feed. When a layout or a parameter changes, fixing it is our work, not a ticket in your backlog.
You get a sample extract before anything is signed off, so the schema can be checked against a real file rather than a description. Tell us the stores, the categories and the cadence, and we will scope the Auchan scraping job from there.
No. We found no developer portal and no documented public product or price API from Auchan. The site is assembled from internal front-end services, visible in the page source as product-renderer, journey-renderer and cart-renderer, which are private implementation details rather than a published contract and can change without notice. Third-party listings advertised as an Auchan API are resold scrapers, not an official interface. We deliver an API on our side, backed by a crawler we maintain, so the schema you build against stays stable even when the site moves.
Yes, and it is the only way grocery prices exist. Auchan pairs a store with a delivery mode, and both price and assortment follow that pair. Give us the stores, by name or by their s- page, and the mode you care about, and each run is executed with that context pinned. Store pages are enumerable from the store sitemap, and the store locator filters on a types parameter with values including DRIVE, HYPER, SUPER, LOCKERS, PICKUP_POINT and PROXY, so a target list can be built by format or by region.
They should not be assumed to be. Auchan offers Drive, "livraison à domicile" for home delivery, and click and collect at a store or pickup point, and each is a distinct ordering context with its own catalogue. A reference orderable in one mode may be absent in another. We keep the modes in separate rows rather than merging them, so a comparison never mixes a Drive figure with a delivery figure by accident.
Marketplace offers are identified on the page by a "Vendu par" line, sold by, naming Auchan itself or a "Vendeur Partenaire", the term Auchan uses for a partner seller. We capture the seller name as its own column so first-party and third-party offers can be filtered apart. Partner sellers ship their own orders and set their own delivery terms, and their products are priced nationally rather than per store, so they behave differently from the grocery catalogue inside the same extract.
Scope is whatever the job needs. As a sense of scale, the Auchan product sitemaps listed 312,955 URLs on 2026-08-27, though any single store carries a fraction of that. Category listings paginate thirty products to a page on a page parameter, and we found no result cap: a category reporting 9,834 products that day paginated through to its tail rather than stopping short. Cadence is agreed with you, commonly daily for price and promotion work and weekly or monthly for assortment reviews.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
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