Location-Based Data Mining for Cataloging

Success Story -

This case study reviews the result of location-based data mining for displaying it in catalogs from various websites using customized scraper by iWeb Scraping.

Client’s Challenge

A leading e-commerce company provided us with entire product and pricing information from its outlet across the United States. The client used to extract necessary data manually to do the study before switching to web scraping services.

The criteria’s included scraping product information from their e-commerce platform and retail store outlets across the country, sorted by zip codes of store locations. To scrape the price and product information from e-commerce websites, a comparable method of collecting data has been followed.

For a complete product catalog, this data is being used for additional study in the marketing plan and price comparison. iWeb scraping service was chosen by the client to streamline the complete web extraction process based on nationality, namely zip codes.

Solutions:

In this scenario, site-specific crawls were used to focus on the client's website. The solution scraped before the data fields from the website, including the product's unique serial identity, name, category, URL link, crawling timestamp, store location, price, and stock control accessibility.

The client used the acquired data from the above two operations to classify it by zip codes for location and use it for further research. iWeb Scraping’s API was used to transmit the dataset to the client in JSON format.