Fashion ecommerce teams
Assortment scans
Favorable to scraping
Collect product rows for category keywords, then compare brands, product names, image URLs, and visible discount patterns in one spreadsheet.
E-commerce Marketplace$50Free
Zalando Product Scraper for CSV Export
This Zalando product scraper turns Zalando.it keyword listing pages into a structured CSV export for fashion ecommerce research. Import the workflow into the UScraper local desktop app, update the search keywords, and collect product title, brand, URL, current price, previous price, discount, delivery label, and image URL without writing code.
Output
CSV
Fields
9
Inputs
3 keywords
Waits
45s load
Template
Free import
At a glance
Scrape Zalando listings into product rows
The template starts from three editable Zalando.it catalog searches: borsette, occhiali da sole, and cappotti. For each URL, UScraper sets a large viewport, navigates to the page, waits for product article links, scrolls to load more listing content, then uses Structured Export against each article row.
That makes it useful when you need Zalando to CSV output for review in Excel, Sheets, BI tools, or internal pricing notes. The workflow is intentionally transparent: Navigate, wait, scroll, export, check for Next, click, wait again, then loop until the keyword or pagination path is complete.
Export Zalando products to CSV
Keep product title, product URL, brand, price, previous price, discount, delivery label, and image URL in stable spreadsheet columns.
Keyword and pagination loop included
The workflow appends rows across multiple preset searches and follows Zalando's enabled next-page control when it is present.
Local custody by default
The bundled graph saves the CSV to your configured desktop folder and does not send the output to UScraper infrastructure.
Resilient listing-field capture
JavaScript columns clean visible card text and avoid common noise such as sale badges, delivery wording, favorites text, and size labels.
Who uses it
Zalando product data use cases
Pricing analysts
Markdown tracking
Favorable to scraping
Use current price, previous price, and discount columns to review sale positioning before a buying meeting or campaign refresh.
Market researchers
Competitor snapshots
Nuanced outcome
Build repeatable exports for approved keywords, then compare the dataset with the Farfetch scraper or Google Shopping scraper.
Browse the UScraper template library when you need sibling ecommerce workflows for marketplaces, search engines, or product detail pages.
How to use
Export Zalando products with the workflow
1
Download and import
Download the hosted JSON template, then import it into the UScraper desktop app.
2
Edit search URLs
Open the Navigate block and replace the sample Zalando.it keywords with the catalog searches you want to review.
3
Check the export path
Structured Export writes crawler_prodotti_zalando.csv with headers and append mode. Change the save folder before running a client or campaign batch.
4
Run the browser flow
UScraper navigates, waits for product cards, scrolls the page, sleeps briefly, exports visible rows, and checks whether a next page exists.
5
Open and QA the CSV
Review the first rows for empty prices, duplicate products, blocked pages, or missing images before using the export downstream.
Output preview
What the Zalando to CSV export includes
crawler_prodotti_zalando.csvColumn
parola_chiave
Search keyword from the current Zalando catalog URL.
Column
titolo
Product title cleaned from visible listing-card text.
Column
pagina_url
Absolute product detail URL from the listing card.
Column
brand
Brand name detected from the product card.
Column
prezzo_attuale
Current displayed price.
Column
prezzo_prima
Previous or secondary price when present.
Column
sconto
Discount percentage such as -30% when visible.
Column
consegna
Delivery or shipping label shown on the card.
Column
img_url
Primary image URL from the listing card.
Sample rows
2 of many
| parola_chiave | titolo | pagina_url | brand | prezzo_attuale | prezzo_prima | sconto | consegna | img_url |
|---|---|---|---|---|---|---|---|---|
| borsette | Borsa a tracolla con logo | Example Brand | 79,95 € | 99,95 € | -20% | Consegna standard | ||
| occhiali da sole | Occhiali da sole squadrati | Sample Label | 44,99 € | Da lunga distanza |
Headers included - keyword and pagination results append into one file
| Column | Why it matters |
|---|---|
prezzo_attuale and prezzo_prima | Compare live pricing and markdown context without manually opening every product. |
sconto | Filter discount-heavy categories or track sale depth by keyword. |
pagina_url and img_url | Keep every row traceable back to source product pages and visual QA. |
UScraper vs hosted Zalando scraping tools
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Zalando template | No-code users who want a readable local workflow and CSV output | Best for controlled research batches, not unattended high-volume scraping infrastructure |
| Cloud scraper actors | Teams that want provider-managed runtime and scheduling | Queries and results pass through a third party and may bill per run or per result |
| Custom scraper code | Developers who need full control over parsing, retries, and storage | Requires maintenance, deployment, monitoring, and compliance review |
Frequently asked questions
Zalando 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 volume modest, avoid bypassing access controls, and get legal review before commercial reuse or redistribution.
Before you run
Limits and maintenance notes
Guardrails for reliable Zalando product exports
Rate limits
Keep collection modest
Large or repeated batches can trigger throttling, verification, consent screens, or incomplete product rendering. Add longer waits before expanding keyword volume.
Selector drift
Listing layouts can change
Empty fields, duplicated text, or missing prices usually mean Zalando changed card markup or returned a non-product page. Recheck the Structured Export columns before scaling.
Compliance
Review terms before reuse
Treat exported product rows as research input. Review Zalando terms, robots rules, and applicable law before republishing, reselling, or joining the data into a public dataset.
Download the template, install the local desktop app from the UScraper download page, and use this workflow whenever you need to export Zalando products without rebuilding product spreadsheets by hand.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All Templates