Fashion Website Data Scraping | Scrape Garment Stores Data

Our achievements in the field of business digital transformation.

Scraping Fashion Websites for Relevant Apparel Information Mining

The primary objective associated with fashion website scraping or apparel website scraping is assessing leading gamers of the Online Fashion Industry. This is important to understand online style and apparel shops offering thousands of items from several leading brand names such as Nike, Ralph Lauren, Levi Strauss, and many more.

Fashion Website Scraping Is Useful For

Competitor analysis of leading competitors can be easily performed, as we mentioned above.
Start a new e-commerce fashion store with the same amount of offerings and information as seen on other sites.
Business intelligence leads you to know the actual popularity of products in the market with related prices, colors, dimensions, and value-added services.
Perform a comparative analysis and see what value you can add to current offerings or bring innovative offerings to the table.

Client Need

This is Where Web Scraping Comes in.

E-commerce apparel stores intend to scrape garments information from top style websites like Nordstrom, Amazon, Sephora, ASOS, JCPenney, Blooming Dales, TopShop, MissGuideDus, BooHoo, Target, KOHLS, Urban Outfitters, Macy’s, Westfield, and so on. They opt for extracting item data with related factors like shades, dimensions, and other related things.

Most clients cannot perform the scraping process themselves since they want to focus on their core activities. Hence, they need an expert who can scrape real-time information for them and deliver it after converting it into legible file formats. Don’t forget to check the data’s authenticity, credibility, and validation.

Preliminary Information We Require

Checklists of informational factors are required to carry out the scraping process. We also want to know how they frequently want the information, i.e., daily, weekly, fortnightly, monthly, or yearly. We should also be aware of the resource websites from which the scraping needs to be done. After then, the file format is decided through which we deliver data, i.e., XLS, CSV, or other ways, to be published on their web servers.

List of Data Fields

At 3i Data Scraping, we scrape the following data fields from fashion websites:

How We Process?

This is Where Web Scraping Comes in.

Our customized scrapers are built as per personalized client requirements. So, we have it all, i.e., resource websites, item fields to scrape, and regularity of information to deliver. This is when we draw out the needed information areas with the likes of the website link, vendor, brand, item category, item sub-category, actual item, item summary, sex classification, item classification, size fit, design type, dimension, color, cost price, selling price, offers, and discounts, etc.

Why Choose Us?

Quick Turn-Around Time

All the technological aspects are dealt by our professional team for all technical bugs or errors. Due to our quick turn-around time, all the customers can sensibly launch the marketing campaigns.

Efficient Data Resources

As the requirements might vary from one customer to another as well as eagerly accessible data varies from a retailer-to-store, we have divided all the steps related with crawlers’ development to occupy the data resources to extract data from different online fashion stores.

Sophisticated Technical Platform

Huge data quantities are easily extracted using sophisticated technical platform. We have continuous surveillance of resource sites and data that is extracted to track modifications made within the source websites frequently.