Fashion ecommerce teams
Assortment scans
Export Zalando products by brand or search URL, then group rows by brand, product title, price, and PLUS label for category reviews.
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This Zalando product scraper exports Zalando.de listing and search pages into a structured CSV file for ecommerce research. Import the workflow into the UScraper local desktop app, adjust the listing URLs, and collect brand, product title, price, image URL, PLUS label, and product URL rows without writing code.
CSV
6
30 pages
30s
Free import
At a glance
The starter workflow is configured for three Zalando.de entry points: an Adidas brand listing, a headphone search, and a women's dress search. Each entry is expanded from page 1 through page 10 so the run behaves predictably in UScraper instead of depending on an infinite scroll or a fragile next-page click.
That makes the template useful when you need Zalando to CSV output for Excel, Sheets, pricing reviews, image checks, or internal catalog notes. The automation is deliberately readable: set the browser size, navigate to the next URL, wait for page load, accept a common consent prompt if it appears, scroll to trigger lazy product cards and images, confirm product rows exist, then export structured fields.
Structured product listing export
Capture marke, produkt_titel, preis, bild_url, plus_etikett, and produkt_url in stable CSV columns.
URL-list pagination is included
The workflow ships with 30 known Zalando.de URLs and appends all product rows into one file, making the batch easier to audit and rerun.
Local custody by default
Your configured URLs and CSV stay in the desktop workflow unless you add your own upload, sync, or sharing step.
Built for rendered product cards
Scroll and wait blocks help load lazy listing cards before Structured Export reads visible product text, image sources, and product links.
Who this is for
Fashion ecommerce teams
Assortment scans
Export Zalando products by brand or search URL, then group rows by brand, product title, price, and PLUS label for category reviews.
Pricing analysts
Market checks
Use the preis and source URL columns to spot-check visible Zalando.de price positioning before a campaign, buying meeting, or markdown review.
Market researchers
Competitor snapshots
Pair this German listing export with the Zalando Product Scraper, Zalando France Product Scraper, and Farfetch Scraper for broader fashion research.
For cross-marketplace work, browse the UScraper template library or compare product visibility with the Google Shopping Product Listing Scraper.
How to use
Edit listing URLs
Open the Navigate block and replace or extend the sample Zalando.de brand, category, or search URLs. Keep the page-number pattern if you want a controlled batch.
Confirm the export path
Structured Export writes zalando_de_produkt_scraper.csv with headers and append mode. Change the save folder before running a client or category batch.
Run the browser loop
UScraper navigates, waits for load, handles common consent text, scrolls for lazy cards, checks whether product rows exist, exports rows, and continues to the next URL.
Open and QA the CSV
Review the first rows for empty prices, duplicates, blocked pages, locale redirects, missing images, or unexpected non-product cards before using the export downstream.
Output preview
zalando_de_produkt_scraper.csvColumn
marke
Brand detected from product-card text or parsed from the product URL when the card does not expose a clean brand field.
Column
produkt_titel
Product title cleaned from visible listing-card text or inferred from the product URL fallback.
Column
preis
Visible euro-formatted price, including values prefixed by From when present.
Column
bild_url
Primary listing image URL from the current image source, src, or srcset fallback.
Column
plus_etikett
PLUS, Premium Delivery, or Early Access label when it appears on the card.
Column
produkt_url
Absolute Zalando.de product detail URL from the listing card.
Sample rows
2 of many
| marke | produkt_titel | preis | bild_url | plus_etikett | produkt_url |
|---|---|---|---|---|---|
| adidas Originals | Samba OG - Trainers | 119,95 EUR | PLUS | ||
| Only | Elegant dress - black | 49,99 EUR |
| Field | Why it matters |
|---|---|
marke and produkt_titel | Identify assortment rows before grouping by brand, query, category, or merchandising theme. |
preis and plus_etikett | Review visible price and delivery/premium labels during competitive checks. |
bild_url and produkt_url | Keep every row traceable for image QA, manual verification, and follow-up detail-page collection. |
Zalando.de pages can be public and still be governed by Zalando terms, robots directives, copyright, database rights, privacy rules, and local law. Use this template for legitimate research, keep runs measured, avoid bypassing access controls, and get legal review before commercial reuse or redistribution.
Before you run
Guardrails for reliable Zalando.de exports
Keep batches measured
Large or repeated URL lists can trigger throttling, CAPTCHA, consent screens, locale redirects, or incomplete product rendering. Start small and add longer waits before scaling.
Listing layouts can change
Empty brands, missing prices, or image gaps usually mean Zalando changed product-card markup or returned a non-listing page. Recheck Structured Export fields before relying on a large batch.
Review terms before reuse
Treat exported rows as research input. Review Zalando terms, robots rules, and applicable law before republishing, reselling, or joining the data into public datasets.
Download the free template, install the local desktop app from the UScraper download page, and use it whenever you need to export Zalando products from German listing pages into a structured CSV.
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