Kaufland.at Scraper

Scrape product data from the Kaufland.at marketplace, the Austrian storefront of the Schwarz Group online marketplace (formerly real.de) with products from Kaufland direct sales and thousands of third-party sellers.

Search by keyword, pull a whole category, or hand it a list of product URLs. Get back clean, structured records with prices in EUR, sellers, brands, EAN codes, ratings, images and categories. Turn on two optional flags to also get every competing offer on a product and the contact details each seller publishes in its imprint (legal name, address, email, phone, VAT id). No login, no cookies.

Why use this actor?

Kaufland runs one marketplace platform across eight European countries (Germany, Austria, Czechia, Slovakia, Poland, Italy, France and the Netherlands) and its Austrian catalogue changes constantly across thousands of independent sellers. This actor turns any keyword or category into a structured product feed you can drop into a spreadsheet, a pricing tool, or a database.

Typical users: brands tracking how their products are priced and sold across marketplace sellers, retailers doing competitive price monitoring, resellers sourcing products, analysts building assortment or market-share reports, and sales teams building lists of marketplace sellers with their published contact details.

What you get

• Real marketplace prices in EUR as numbers (not strings), plus price per unit (e.g. 20.98 EUR/1kg) and strike-through / RRP where a product is on sale.
• Seller name and seller id for every item, or Kaufland for direct sales.
• Brand, EAN, category, ratings and review counts with high field coverage, because the data comes straight from Kaufland's own product API, not scraped HTML.
• All product images in full resolution.
• Every competing offer on a product (fetchOffers): price, shipping cost, delivery window, fulfilment type and the seller behind each offer.
• Seller contact details (fetchSellerDetails): the legal name, legal form, address, email, phone, fax, VAT id, register court and register number from the imprint each seller publishes on Kaufland, plus the seller's country.
• No login and no cookies. Nothing to configure beyond a keyword.

How to scrape Kaufland.at data

1. Add the actor to your Apify account.
2. Enter a Search Query (a German keyword like 'kaffee', 'laptop', 'kopfhörer'), or a Category ID, or paste Product URLs.
3. Set Max Results to how many products you want.
4. Optional: turn on Fetch all competing offers and/or Fetch seller contact details. Both are off by default; see the sections below.
5. Run it. Download the results as JSON, CSV, Excel or feed them to an API.

Kaufland.at sits behind Cloudflare and DataDome, so the actor routes its requests through the Bright Data Web Unlocker, which solves the bot challenge and returns the data. You do not need your own Bright Data account. We supply the key and the actor runs without it. The brightDataApiKey input exists only if you would rather bill Bright Data usage to your own account.

Input

Field	Type	Required	Description
searchQuery	String	No	Keyword to search the marketplace (default: kaffee). Products are discovered by keyword and enriched with full data.
categoryId	Integer	No	A numeric Kaufland category id to pull instead of a keyword. Category ids appear in the category data of any scraped product.
productUrls	Array	No	One or more https://www.kaufland.at/product/<id>/ URLs to scrape directly (max 1000).
maxResults	Integer	No	Maximum number of products to return (default: 100).
fetchOffers	Boolean	No	Off by default. When off, a product row carries only the buy-box price and seller, not the other sellers' offers. On: adds offers[] with every competing offer.
fetchSellerDetails	Boolean	No	Off by default. When off, seller is only a display name. On: adds sellerDetails with the seller's published contact record (and one per offer seller when fetchOffers is also on).
oneRowPerOffer	Boolean	No	Off by default. On: one row per offer instead of one row per product (implies fetchOffers).
maxOffersPerProduct	Integer	No	Cap on competing offers per product (default 100, max 1000).
brightDataApiKey	String	No	Optional. Your own Bright Data Web Unlocker key, if you want the usage billed to your account. Leave empty to use ours.
proxyConfiguration	Object	No	Apify proxy settings for auxiliary requests.

Leave everything empty and the actor runs a default kaffee search, so an empty input {} still returns data.

Output

Each product row contains:

Field	Type	Example
name	String	"Open Food Kaffeeweißer - Sucofin - 400g, 544 kcal, 63,5 g, 32,1 g, 32,5 g, 0,06 g, 1,8 g"
brand	String	"Open Food"
price	Number	3.2
currency	String	"EUR"
originalPrice	Number	Strike-through price (null if not on sale)
pricePerUnit	String	"8.00 EUR/1kg"
discount	String	"-15%" (null if not on sale)
ean	String	"4021155117005"
sku	String	Kaufland offer id of the buy-box offer
productId	String	"501611203"
seller	String	"Euroshare"
sellerId	String	"48187946"
sellerCompanyName	String	Registered company name of the buy-box seller
inStock	Boolean	true, false, or null when Kaufland does not say
rating	Number	4.86
reviewCount	Integer	7
url	String	"https://www.kaufland.at/product/501611203/"
imageUrl	String	Primary product image URL
imageUrls	Array	All product image URLs
category	String	"Instant Kaffees"
scrapedAt	String	ISO 8601 timestamp

Competing offers (fetchOffers)

With fetchOffers on, each row also carries offerCount and offers[]. One offer looks like this:

Field	Type	Example
offerId	String	"388274035566"
price	Number	13.59
currency	String	"EUR"
shipping	Number	3.99 (0 = free shipping)
totalPrice	Number	17.58 (price + shipping)
pricePerUnit	String	"135.90 EUR/1l"
condition	String	"new" or "used"
deliveryTime	String	Delivery window as shown on the site
deliveryFrom / deliveryTo	String	Delivery window as ISO timestamps
fulfillmentType	String	"seller" (shipped by the seller) or Kaufland fulfilment
sellerId / sellerName	String	The seller behind the offer
sellerShopUrl	String	The seller's shop page on Kaufland
isDirectSeller	Boolean	true when the offer is sold by Kaufland itself
returnPeriod	String	ISO 8601 duration, e.g. "P30D"
sellerDetails	Object	The seller's contact record (only with fetchSellerDetails)

With oneRowPerOffer on, the actor emits one row per offer instead: the product fields plus a single offer object, and sellerDetails for that offer's seller.

Seller contact details (fetchSellerDetails)

With fetchSellerDetails on, each row carries sellerDetails for the buy-box seller (and every offer carries its own sellerDetails when fetchOffers is also on). The record is parsed from the imprint each seller publishes on Kaufland:

Field	Type	Example
sellerId	String	"76996843"
sellerName	String	"Smartpanther"
legalName	String	"Smartpanther GmbH"
legalForm	String	"GmbH"
representatives	String	Managing directors / authorised representatives
address	String	"Rose-Ausländer-Str. 2, 74523 Schwäbisch Hall"
email	String	"info@smartpanther.de"
phone	String	"+49 97816372"
fax	String	Fax number when published
vatId	String	"DE301628081" (validated country prefix + digits; null when the seller publishes no valid VAT id)
registerCourt	String	Commercial register / court
registerNumber	String	"HRB 87821"
sellerCountry	String	ISO code of the seller's country, e.g. "DE", "PL", "CZ"
sellerCountryName	String	Country name as Kaufland shows it
sellerSince	String	Seller since, when Kaufland publishes it
shopUrl	String	The seller's shop page on Kaufland
imprintText	String	The full imprint as plain text, for anything the fields above do not cover

Every field is nullable. A seller with a thin imprint gives a thin record. On the runs behind this listing, email and phone were filled on most sellers and the VAT id on most sellers with a valid EU number; expect fill rates below 100% and check imprintText for anything the parser left null.

Note that sellers are often foreign to the storefront: a Polish or Czech seller listing on Kaufland.at publishes a Polish or Czech address. Use sellerCountry to filter.

Example output

A real row from a live run with fetchOffers and fetchSellerDetails on (offers trimmed to two):

{
  "name": "Open Food Kaffeeweißer - Sucofin - 400g, 544 kcal, 63,5 g, 32,1 g, 32,5 g, 0,06 g, 1,8 g",
  "brand": "Open Food",
  "price": 3.2,
  "currency": "EUR",
  "pricePerUnit": "8.00 EUR/1kg",
  "ean": "4021155117005",
  "sku": "388416535520",
  "productId": "501611203",
  "seller": "Euroshare",
  "sellerId": "48187946",
  "sellerCompanyName": "Euroshare GmbH",
  "inStock": true,
  "rating": 5,
  "reviewCount": 2,
  "url": "https://www.kaufland.at/product/501611203/",
  "imageUrl": "https://media.cdn.kaufland.de/product-images/original/1087c453c0ad2e5f42408c2ad9807c4c.jpg",
  "category": "Instant Kaffees",
  "offerCount": 1,
  "offers": [
    {
      "offerId": "388416535520",
      "price": 3.2,
      "currency": "EUR",
      "shipping": 7.99,
      "totalPrice": 11.19,
      "pricePerUnit": "8.00 EUR/1kg",
      "condition": "new",
      "deliveryTime": "Mi. 23. - Mo. 28. September",
      "deliveryFrom": "2026-09-23T00:00:01+02:00",
      "deliveryTo": "2026-09-28T23:59:59+02:00",
      "fulfillmentType": "seller",
      "sellerId": "48187946",
      "sellerName": "Euroshare",
      "sellerShopUrl": "https://www.kaufland.at/shops/Euroshare/",
      "isDirectSeller": false,
      "returnPeriod": "P14D",
      "sellerDetails": {
        "sellerId": "48187946",
        "sellerName": "Euroshare",
        "legalName": "Euroshare",
        "legalForm": null,
        "address": "Euroshare GmbH, Lennéstraße 5, 10785 Berlin",
        "email": "kaufland@euroshare.online",
        "phone": "+49 1621323590",
        "vatId": "DE192240242",
        "registerCourt": "Amtsgericht Charlottenburg",
        "registerNumber": "HRB 219102 B",
        "sellerCountry": "DE"
      }
    }
  ],
  "sellerDetails": {
    "sellerId": "48187946",
    "sellerName": "Euroshare",
    "legalName": "Euroshare",
    "legalForm": null,
    "address": "Euroshare GmbH, Lennéstraße 5, 10785 Berlin",
    "email": "kaufland@euroshare.online",
    "phone": "+49 1621323590",
    "vatId": "DE192240242",
    "registerCourt": "Amtsgericht Charlottenburg",
    "registerNumber": "HRB 219102 B",
    "sellerCountry": "DE"
  },
  "scrapedAt": "2026-09-21T18:07:10.376Z"
}

How it works

Kaufland's own keyword search endpoints are blocked to automated access, so the actor works from Kaufland's public product API:

1. Enumeration. A keyword search finds matching product ids across the marketplace; a category id or a list of product URLs skips straight to known products.
2. Data. Product ids are sent in batches of 50 to Kaufland's product-tiles API, which returns clean JSON (prices, sellers, brands, EAN codes, ratings and images) with very high field coverage.
3. Offers (optional). One request per product returns every competing offer with its seller.
4. Seller details (optional). One request per distinct seller returns the published imprint, which is parsed per label into the contact fields. Kaufland obfuscates the published email addresses; the actor decodes them.

Long runs are migration-safe: products already written are not fetched again after a restart, and seller records are cached within the run.

Cost estimate

Per result cost (actor start fee plus per-result fee) depends on your plan and is shown on this page. Bright Data usage on our key is included. Requests per product, measured on live runs:

• Product rows only (default): about 0.05 requests per product (one search request per ~20 products plus one product-tiles request per 50). A run of 1,000 products is roughly 70 requests.
• fetchOffers: +1 request per product (+1 per additional 100 offers).
• fetchSellerDetails: +1 request per distinct seller. With both flags on, a product with 3 competing offers costs about 4 requests. Runs with both flags on 100 products take 10-20 minutes.
• oneRowPerOffer: the number of result rows equals the number of offers, so a product with 20 offers is 20 billable results.

A run's usage cost only settles after the run reports SUCCEEDED; a cost read mid-run from a partial dataset is far too low. Size your runs with maxResults and maxOffersPerProduct.

Limitations

• Kaufland.at is behind Cloudflare and DataDome; the actor reaches it through the Bright Data Web Unlocker (our key by default).
• Keyword search relevance and coverage depend on what is indexed publicly, so a keyword run returns the most relevant products rather than a guaranteed exhaustive list. Use categoryId for category-scoped pulls.
• originalPrice and discount are only present when a product is actually on sale.
• Seller contact fields come from what each seller publishes. The parser reads the imprint labels in the storefront language; a seller who fills the imprint unusually gets null fields (the raw text is always in imprintText). Kaufland obfuscates published email addresses and may change how; the decoding is tested but is the part most likely to need maintenance.
• Seller imprint data is published by the sellers under EU platform rules. You are responsible for using it lawfully (GDPR applies to sole traders' data).
• Data is scraped from the public marketplace and may change without notice. Respect the website's terms of service and use responsibly.

Related scrapers

The same actor exists for every Kaufland marketplace country:

• Kaufland.de Scraper — kaufland.de German marketplace
• Kaufland.cz Scraper — kaufland.cz Czech marketplace
• Kaufland.sk Scraper — kaufland.sk Slovak marketplace
• Kaufland.pl Scraper — kaufland.pl Polish marketplace
• Kaufland.it Scraper — kaufland.it Italian marketplace
• Kaufland.fr Scraper — kaufland.fr French marketplace
• Kaufland.nl Scraper — kaufland.nl Dutch marketplace

Need this data on a schedule, or a custom version?

We run this scraper as a managed service for businesses: scheduled runs, deduplication, delta detection, and delivery to your inbox, Google Sheets, or API, maintenance included. We can also build a custom version with your exact fields and filters, or combine multiple sources into one feed.

See studioamba.dev/services or email hello@studioamba.dev for a free data sample. We maintain 300+ European web scrapers and answer within one business day.