The Wildberries scraper gives you access to product data across thousands of categories — from clothing and electronics to home goods and pharmacy items. We deliver filtered, structured information from one of the most complex and fast-moving marketplaces in the region.
We don’t offer plug-and-play tools — we build custom solutions to scrape Wildberries based on your exact request. You define what you want from Wildberries: specific categories, brands, regions, or seller types — and we handle the rest. Our Wildberries data scraper extracts, filters, and formats the data — no code, no dashboard, no noise. Just clear information delivered when and how you need it.
Wildberries isn’t just a store — it’s a layered marketplace with millions of SKUs. Here’s what we can extract for you:
We can tailor the dataset to your region, language version, or product scope — including deep filtering on sellers, brands, or promo activity.
Beyond core product data, we also capture:
This extra data helps the Wildberries Scraper map how Wildberries operates across different markets and seller types.
Wildberries is the largest online retailer in Russia and a major player across Eastern Europe and Central Asia. The platform — accessible via wildberries.ru — offers over 500 million SKUs across thousands of brands, covering fashion, electronics, home goods, cosmetics, books, and even groceries.
The European version, wildberries.eu, serves countries like Poland, Slovakia, Germany, and the Baltics, displaying prices in euros and adapting delivery options by region. The site supports multiple languages and provides both courier and pickup-point fulfillment.
Wildberries processes over 700,000 orders per day and operates a network of 35,000+ pickup points. It continues to expand its ecosystem with services like installment payments, video commerce, and integrated seller tools — positioning itself as more than just a marketplace.
Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Wildberries — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Wildberries is driven by constant change — daily price shifts, flash promotions, stock updates, and regional variations. Scraping it gives you a live window into how one of the most aggressive marketplaces in the region operates.
Wildberries web scraper data helps retailers, aggregators, and analytics teams respond faster to shifting trends and market behavior.
Learn how to use web scraping to solve data problems for your organization
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
At ScrapeIt, we specialize in extracting structured data from complex marketplaces like Wildberries — where generic tools can’t keep up. We don’t offer scraping software or APIs. Instead, we deliver ready-to-use datasets based on your exact request.
Why work with us?
You ask. We extract. You get the data — filtered, formatted, and done.
Yes — frequent layout updates, regional mirrors, and mobile-specific behavior make it complex. That’s why we handle it end-to-end.
Product titles, prices, stock levels, seller names, reviews, size grids, delivery times, and more — filtered to your use case.
No. You just tell us what you need — we deliver the finished dataset.
You choose. Daily, weekly, or custom frequency — we update based on your business logic.
Because Wildberries changes constantly. Most tools break. Ours don’t — because we adjust them for you.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
