A Zara reference travels unchanged between country stores; the name, price and sizes in stock do not. Our Zara scraper collects each store by reference, colour and size.
Plans from €169/month · Free project assessment · Reply within 1 business day
Zara.com is one retailer's shop window repeated country by country, so the scope of a project is short to state: which country stores, which sections - Woman, Man, Kids, Beauty - which categories, and how often. Our team writes the crawlers, keeps them running and fixes them whenever Zara reworks a page; you receive the files.
Zara scraping needs a rendered page and patient pacing, because the sizes and their availability only appear once the size selector opens. Rendering, proxy rotation and CAPTCHA handling are included. We never log in. Delivery is CSV, Excel or JSON, through our API, to SFTP or Amazon S3, or into your database, as a one-off extract or on a daily or weekly schedule.
The anchor of every row is the reference printed beside the colour name: three blocks of digits separated by slashes. The first two blocks name the garment and reappear at the end of the product address; the last block is the colour, so one pair of denim shorts carries one reference in light blue and another in blue. We keep the reference whole and in parts.
Names and descriptions are stored in the language of the store; where a store has several languages, you choose. Each row keeps the amount and the currency exactly as the store shows them.
Three things extend a Zara dataset beyond the product page: the category tree, the other country stores and time.
Zara puts no customer reviews or star ratings on its product pages, so the dataset has no review columns. Zara Home and the Pre-Owned section are separate scopes, added on request.
Zara belongs to the Spanish group Inditex. There are no third-party sellers on zara.com, so every price is Zara's own and each product page is the single source for that item. What multiplies is geography: the site is a set of country stores, from Albania to Vietnam, each under zara.com plus a country code and a language code, each with its own currency, assortment and price list.
Inside a store the catalogue is split into Woman, Man, Kids and Beauty. Menus mix permanent categories - jackets, knitwear, jeans, shoes, bags, perfumes - with editorial ones such as New Arrivals, Best Sellers, Special Prices, Special Edition and Collabs. Categories and products are addressed by numeric ids at the end of the URL, and those ids stay put when the wording around them is translated.
Stores are not copies of each other. The same bomber jacket is worded differently on the United States and Spanish stores and priced in dollars on one and euros on the other, and of the two only the Spanish page adds an origin panel to composition and care. The range turns over quickly: arrivals are tagged NEW, reduced items move to Special Prices, and sizes switch off one by one as they sell out.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Fashion retailers, brands and analysts read zara.com as a price list, a range plan and a stock report at once. Each use rests on particular fields.
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ScrapeIt collects web data as a managed service. For a retailer's own site such as Zara we set up a crawler per country store, run it on your schedule, adjust it when the layout moves, and deliver one table keyed on reference, colour and size. Every project begins with a free assessment, and a sample can be ordered before you commit. The dataset arrives with field documentation, so an analyst can work with the columns straight away.
Yes. The ScrapeIt Zara API is an endpoint we host: you call it with a key and receive reference, colour, sizes with their availability, current and original price and currency for each country store as JSON, updated at the interval you chose. If you prefer files, the same rows are delivered as CSV, Excel or JSONLines to SFTP, Amazon S3 or Google Drive.
Yes. Product names, prices, colours, size availability, composition and care are open to anyone who opens zara.com, with no account needed. We collect only publicly available data - everything a visitor can see on Zara - and we collect it legally. The product pages hold no customer reviews and no shopper profiles, so a Zara dataset is product data only.
Yes. Both stores are collected by reference, so the same garment appears with its Spanish price in euros and its United States price in dollars, each as published. The UK, Turkey, India and Japan stores are added the same way. Amounts are delivered as shown, each with its currency code and the date of the run, so you convert at the rate you choose.
By repetition. Zara shows today's price and, on reduced items, the original one, but not what happened in between. We revisit the same references on your schedule and store every run with its date, so the history starts with the first run and grows from there - price changes, moves into Special Prices and disappearances included.
Daily suits projects that follow size availability, since a size can sell out and return between two visits. Weekly is enough for a seasonal range review, and a one-off extract answers a single pricing question. Each store you add is a separate crawl, so the frequency can differ by country.
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.
Zara data from €169/month. Free project assessment, reply within 1 business day.
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