Wildberries Datasets
Leverage our Wildberries dataset to refine your strategies and uncover emerging trends in e-commerce and online retail
- Tens of millions records available
- Dataset covers all main data points
- Get accurate data you can rely on
Wildberries dataset sample
The dataset from Wildberries.ru comprises information about various products available on the e-commerce platform. Each entry includes details such as the product URL, unique identifier (SKU), category breadcrumbs for navigation, product name, average customer rating, number of reviews, image URL, brand, original and discounted prices, and a lot more.
Available Wildberries and related datasets
Chances are we've already built and maintained the data collection from popular eCommerce websites. Ensure hassle-free data access by using ready-made datasets.
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
Amazon products
7.7K+
1.3K+Shopee - products
Walmart - products
Amazon Reviews
Shein- Products
Amazon products global dataset
eBay
TikTok Shop
Amazon best seller products
Google Shopping
Zara - Products
Amazon Walmart
Amazon sellers info
Home Depot US
Lazada - Products
Etsy
Amazon products search
Best Buy products
Ikea - Products
Target
Sephora products
Myntra products
carsales.com.au - Cars Listings
Ozon.ru products
Webmotors Brasil - Cars Listings
H&M - Products
Lowes.com
Tokopedia Products
Digikey - Products
Mouser - Products
Wildberries.ru products
Asos - Products
Zalando products
Lego - Products
Chanel Products
Wayfair products
Lazada - Reviews
Google Shopping products search US
Nordstrom products
Dior - Products
AE.com - Complete Products
Hermes- Products
Home Depot CA
Chileautos Chile - Cars Listings
Toysrus - Products
Ashleyfurniture - Products
Balenciaga.com - Products
Lazada products search (GMV)
Mediamarkt.de products
Mango Products
Google Play Store reviews
Fendi Products
Ysl.com - Products
Carters.com - Products
Walmart - products zipcodes
Zara Home Products
Apple App Store reviews
Bottegaveneta.com - Products
Fanatics.com - Products
Prada.com - Products
Massimo Dutti - Products
Sleepnumber.com - Products
Loewe.com - Products
Berluti.com - Products
Moynat.com - Products
Delvaux - Products
Crateandbarrel - Products
Celine.com - Products
llbean.com - Products
Montblanc - Products
Raymourflanigan.com - Products
La-z-boy.com - Products
Mattressfirm - Products
Mybobs.com - Products
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Wildberries datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Wildberries data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Wildberries datasets
Consumer Market Analysis
Competitor Analysis
Brand Reputation
Wildberries Dataset FAQs
What data is included in the Wildberries dataset?
The dataset from Wildberries.ru comprises information about various products available on the e-commerce platform. Each entry includes details such as the product URL, unique identifier (SKU), category breadcrumbs for navigation, product name, average customer rating, number of reviews, image URL, brand, original and discounted prices, and a lot more.
Can I get updates for my purchased Wildberries dataset?
Yes, you can get updates to your Wildberries dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Wildberries dataset?
Yes, you can purchase a Wildberries subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Wildberries dataset?
You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.
Can I scrape Wildberries public data by myself?
If you don’t want to purchase a dataset, you can start scraping Wildberries data using our web scraping tool.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the Wildberries dataset?
Yes, you can request specific data points from the Wildberries dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Wildberries dataset directly into my existing systems?
Absolutely, the Wildberries dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How Wildberries datasets can help me?
Leverage our Wildberries dataset for diverse applications to enhance business strategies and market insights. Analyzing this dataset can facilitate an understanding of consumer preferences and trends within the e-commerce and online retail industry, empowering organizations to refine product offerings and marketing strategies. Access the entire dataset or customize a subset to align with your specific needs.
Popular use cases include conducting competitor analysis to understand market positioning, monitoring brand reputation through consumer feedback, and performing consumer market analysis to identify and predict emerging trends in e-commerce and online retail.