Zalando Scraper: Prices, Sizes, Deals and Reviews

Zalando Scraper turns Zalando's catalogue into structured product data. Get name, brand, current and original price, savings, every size, all images, deal flags and rating from each listing, plus the full description, colour, per-size availability and individual reviews when you turn on detail enrichment. Search by keyword with sorting and a price range, browse the sale section, or paste any Zalando category, search-result or product URL. Covers 17 Zalando country stores, and results export to JSON, CSV or Excel, or read straight through the API.

Why This Scraper?

• Full page coverage. Every product on a category or search page is collected, not just the first screen.
• Rich price data on every record. Current price, was price, savings amount and percent, discount percent, an on-special flag and the listing's own deal badge.
• Keyword search with filters. Search terms, sort order (relevance, price, newest) and a price range, applied consistently whether you search by keyword or paste a URL.
• Browse the sale section. Pick the women's or men's sale collection and it's walked with the same listing machinery as a keyword search, currently on the co.uk and ie stores.
• Optional detail enrichment. Full description, colour, per-size price and availability, every image, rating summary and individual reviews.
• 17 country stores. One input switches the store, language, currency and catalogue.
• Optional export to your other apps. Push scraped products into Notion, Airtable or Linear through MCP connectors, alongside the dataset.

Use Cases

• Price monitoring teams: track current price, was price and discount percent across products to catch markdowns.
• Competitor and market research: compare brand assortment, pricing and sizes across Zalando's country stores.
• Deal and sale trackers: browse the sale section or filter search results to on-sale products only.
• Catalogue and marketplace builders: pull structured product data, images, sizes and descriptions, to power a storefront or feed.
• Review and rating analysis: collect individual reviews and rating summaries when detail enrichment is on.

Data You Get

Sample shape: values are illustrative placeholders, not from a live listing.

Field	Example
sku	AB123C4D5-E11
name	Sample Jersey Dress
brand	Sample Brand
title	Sample Brand Sample Jersey Dress
url	https://www.zalando.co.uk/sample-dress-ab123c4d5-e11.html
domain	co.uk
targetGroup	WOMEN
category	DRESS
price	14.0
originalPrice	15.99
wasPrice	15.99
savingsAmount	1.99
savingsPercent	12
discountPercentage	12
isOnSpecial	true
onSale	true
currency	GBP
dealFlag	-12%
sizes	["XS","S","M","L","XL"]
images	["https://img01.ztat.net/article/00000000-500x700.jpg"]
rating	4.6
available	true
scrapedAt	2026-01-01T00:00:00.000Z
item	the complete upstream product-card object

Full-price products return wasPrice: null, savingsAmount: null and isOnSpecial: false; these fields are never fabricated when there is no genuine reduction. All prices are in the store's own currency and in whole units, not cents. When fetchDetails is on, the same record also carries description, color, variants (one entry per size, with its own price and availability), reviews, reviewCount, shipping and returnPolicy; without it those fields are absent rather than empty. Records also carry brandName, colorName, discountAmount, inStock, availabilityStatus, imageUrl, imageUrls, videoUrl, silhouette and group where the product has them, plus unitPrice (whole currency units, with the per-unit text such as the volume or weight in unitPriceLabel), comingSoon, sizeAdvice and lowerPriceLabel, which are filled only for the product itself, never from another colour of it, and only for products whose Zalando card carries them and are otherwise null. The dataset has four views: Overview (listing fields), Detail (description, colour and per-size variants), Reviews (one row per review) and Changes (incremental mode: changeType, changedFields, firstSeenAt, lastSeenAt).

How to Use

1. Pick a mode: search (build queries from keywords) or url (paste category, search-result or product links).
2. Fill in the fields for that mode: keywords, country store, sort and price range, or the URLs to scrape.
3. Turn on Fetch full product details if you want description, colour, per-size availability and reviews.
4. Set Max items to control run size and cost, then click Start. Max items has a finite default of 20 and accepts up to 100000 products per run; reviews per product are capped at 100 even if you enter more.

Basic keyword search:

{
  "mode": "search",
  "searchTerms": ["summer dress"],
  "domain": "co.uk",
  "maxListings": 50
}

Search with sorting and a price range:

{
  "mode": "search",
  "searchTerms": ["trainers"],
  "domain": "de",
  "sortBy": "price_asc",
  "minPrice": 30,
  "maxPrice": 80,
  "onSaleOnly": true,
  "maxListings": 100
}

Browse the women's sale (co.uk or ie store):

{
  "mode": "search",
  "searchTerms": [],
  "domain": "co.uk",
  "specialsCategory": "womens-sale",
  "maxListings": 50
}

Category URL with detail enrichment:

{
  "mode": "url",
  "urls": ["https://www.zalando.co.uk/womens-clothing-dresses/"],
  "fetchDetails": true,
  "maxPages": 3,
  "maxListings": 200
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/zalando-scraper").call(run_input={
    "mode": "search",
    "searchTerms": ["summer dress"],
    "domain": "co.uk",
    "maxListings": 50,
})
for product in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(product["name"], product["price"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/zalando-scraper').call({
  mode: 'search',
  searchTerms: ['summer dress'],
  domain: 'co.uk',
  maxListings: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Send results into your apps (MCP connectors)

Optionally pipe the scraped products into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape: the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each product, not the full JSON. Each product becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify, Settings, Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Export to your apps (MCP)" input field. If the picker is empty, you have not authorized a connector yet.
3. For Notion, also set notionParentPageUrl to the page where product pages should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to write only to the dataset.

Input Parameters

Parameter	Type	Default	Description
mode	string	search	search to build queries from keywords and filters, or url to scrape pasted category, search-result or product URLs directly.
searchTerms	array	[] (prefill: ["dress"])	Keywords to search Zalando for, e.g. "summer dress", "nike air max". Search mode only.
domain	string	co.uk	Zalando country store: co.uk, de, fr, nl, be, it, es, pl, at, ch, se, dk, fi, no, ie, cz, com. Used in search mode; URL mode reads the store from the pasted URL.
specialsCategory	string	none	Browse the sale section in addition to keywords: womens-sale or mens-sale. Verified working only on the co.uk and ie stores; other stores are skipped with a log warning, no charge. Search mode only.
sortBy	string	relevance	relevance, price_asc, price_desc or newest. Applies in both search and URL mode; choosing an order other than relevance replaces any order a pasted URL already carried.
minPrice	integer	none	Keep only products with a current price at or above this value (store currency). Applies in both search and URL mode.
maxPrice	integer	none	Keep only products with a current price at or below this value (store currency). Applies in both search and URL mode.
onSaleOnly	boolean	false	Keep only products that are currently discounted. Applies in both search and URL mode.
urls	array	one example URL per supported shape (see URL shapes)	Category, search-result, sale or product URLs to scrape. If left empty, the example list runs. URL mode only; the price range and on-sale filters still apply, other search-only fields are ignored.
fetchDetails	boolean	false	Add full description, colour, per-size price and availability, every image, rating summary and individual reviews from each product page.
maxReviews	integer	20	Maximum individual reviews captured per product when Fetch full product details is on. Reviews are included in detail enrichment, with no separate charge. 0 or empty uses the default of 20; the hard ceiling is 100.
maxPages	integer	none (unlimited)	Safety bound on result pages walked per keyword or URL. Leave empty or 0 for unlimited; this does not cap the number of products, Max items still does.
maxListings	integer	20	Maximum number of products to return across the whole run. Set 0 for unlimited.
proxy	object	Apify Proxy (useApifyProxy: true)	Connection settings. Works by default; enable the residential group for more IP rotation.
resumeFromRunId	string	none	ID of an interrupted run of this actor to continue from; products it already collected are skipped and not billed again.
incrementalMode	boolean	false	For scheduled runs: return only NEW, UPDATED and REAPPEARED products, each with changeType and changedFields.
stateKey	string	auto	Optional name for the monitoring campaign; by default derived from the search, filters and detail settings.
emitUnchanged	boolean	false	Incremental mode only: also return UNCHANGED products (billed like any returned row).
emitExpired	boolean	false	Incremental mode only: also return EXPIRED products no longer listed, only after a complete scan from page 1.
ignoreFieldsForChanges	array	[]	Incremental mode only: output field names that do not count as a change. scrapedAt, reviews, productsFound, sourceUrl and search_query are always ignored.
mcpConnectors	array	[]	Optional: send a summary of each product to apps you authorized under Integrations.
notionParentPageUrl	string	none	Notion connector only: page under which product pages are created.
maxNotifyListings	integer	none (the actor applies 50 when left empty)	Optional cap on how many products are pushed to the selected MCP connectors.

URL shapes (URL mode)

Leaving urls empty in URL mode now scrapes one example of each supported shape (this is a change: it used to scrape nothing). Replace the list to scrape your own pages.

Shape	Example	Notes
Category	https://www.zalando.co.uk/womens-clothing-dresses/	Walks result pages.
Keyword search	https://www.zalando.co.uk/catalog/?q=dress	On localized stores a pasted /catalog/?q= link is re-anchored to that store's search section.
Sale listing	https://www.zalando.co.uk/womens-sale/	Sale pages are served on the co.uk and ie stores only.
Paginated / sorted category	https://www.zalando.co.uk/womens-clothing-dresses/?p=2&order=price	p is the start page and order is kept unless Sort overrides it.
Product	https://www.zalando.co.uk/evenandodd-occasion-wear-black-ev421c1re-q11.html	Returns one product record.

A link that is not a Zalando category, search or product page is skipped with a warning in the run log, and a listing that returns no products logs a warning naming the URL.

Output Example

Sample shape: values are illustrative placeholders, not from a live listing.

{
  "sku": "AB123C4D5-E11",
  "name": "Sample Jersey Dress",
  "brand": "Sample Brand",
  "title": "Sample Brand Sample Jersey Dress",
  "url": "https://www.zalando.co.uk/sample-dress-ab123c4d5-e11.html",
  "domain": "co.uk",
  "targetGroup": "WOMEN",
  "category": "DRESS",
  "price": 14.0,
  "originalPrice": 15.99,
  "wasPrice": 15.99,
  "savingsAmount": 1.99,
  "savingsPercent": 12,
  "discountPercentage": 12,
  "isOnSpecial": true,
  "onSale": true,
  "currency": "GBP",
  "dealFlag": "-12%",
  "sizes": ["XS", "S", "M", "L", "XL"],
  "images": ["https://img01.ztat.net/article/00000000-500x700.jpg"],
  "rating": 4.6,
  "available": true,
  "description": "Full product description appears here when fetchDetails is on.",
  "color": "navy/blue",
  "variants": [{ "size": "M", "sku": "SAMPLE000-M000", "currency": "EUR", "price": "14.00", "availability": "https://schema.org/InStock" }],
  "reviews": [{ "author": "Jane Doe", "rating": 5, "body": "Sample review text." }],
  "reviewCount": 1,
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Plan Requirement

The default proxy setting works out of the box, and the actor automatically escalates the connection if one is refused. For large or frequent runs, the residential proxy group gives more headroom; pick it under Connection.

FAQ

How much does it cost?

You pay per record returned. Detail enrichment (the fields added by Fetch full product details) is billed separately, one detail-enrichment event per product, charged right after that product's record is delivered (never for products that were not enriched). The Pricing tab shows current rates. Use Max items to cap the cost of any run.

Is it legal to scrape Zalando?

This actor collects only publicly available product data. You are responsible for how you use it: follow Zalando's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution. Product names, prices and sizes are generally facts, but brand names, photos and descriptions may be subject to third-party rights.

Can I schedule recurring runs, or get only new products?

Yes. Schedule the actor from the Schedules tab and turn on Incremental changes for scheduled runs. The first run returns every matching product as NEW; later runs return only NEW, UPDATED (with the names of the changed fields in changedFields) and REAPPEARED products. Unchanged products are not returned and not billed, and a product whose full details could not be fetched on one run is compared on its listing fields only, so it is not reported as changed unless you turn on Emit unchanged products; products that disappeared are returned as EXPIRED only if you turn on Emit expired products, and only when the run scanned the whole search from page 1 (a run cut short by Max items, Max pages or a page that did not load never reports EXPIRED). Returned rows, including UNCHANGED and EXPIRED rows, are billed like any other record; detail enrichment is billed only for rows actually returned. Max items counts unchanged products too. All returned fields are compared except scrapedAt, reviews, productsFound (the listing total), sourceUrl and search_query (listing context); list more under Ignore fields when detecting changes. State is kept per search and filter setup (or under your State key). To continue one interrupted run instead, paste its run ID in Resume from a previous run.

Why did Browse sale return nothing for my store?

The sale section is verified working only on the co.uk and ie stores. On every other store the sale page is not reachable through its localized path, so the run skips it with a log warning instead of charging for an empty result. Use keyword search or category URLs on those stores instead.

Why did my run fail instead of returning an empty dataset?

When no results page could be loaded at all, the run ends as FAILED with a plain message instead of a misleading empty success. The messages are: the proxy connection was refused for this account (a paid Apify plan is required, or check your own proxy URLs); residential proxies are unavailable on this run and the backup connection could not load the requested pages; or no results page could be loaded because the requests failed, which is a connection problem rather than an empty search, so try again later. A search that loads fine but genuinely matches nothing finishes successfully with an empty dataset.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push scraped products into Notion, Airtable or Linear.

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