Product Data Scraping Services

By using product data scraping, companies can keep track of how much their competitors are charging on various online platforms and in real time. By observing trends related to price changing, promotional trends and the behaviour of sellers, an organisation can create a flexible pricing plan or protect the value of their products through competitive pricing and margin maintenance.

Companies will engage in sku-level product scraping to monitor the availability and status of products from multiple retailers and/or online shopping sites, allowing them to know when to order products (how long the product is available), what and when to order more and/or where not to order more from, therefore reducing or eliminating lost sales due to lack of stock or inventory shortage.

Using sku-level product scraping, companies can have insight regarding competitors’ catalogues, product assortment width and depth, and the number of categories in their catalogues. Companies can use this information to assess gaps in product assortment and add new products while remaining aligned to meet/store the ever-changing expectations of the retail marketplace.

The trends in regard to products can be identified through the historical data collected over time that can help companies manage product forecast, product planning, and strategic investment. The intelligence can provide a firm understanding of how the products evolve in regard to the consumers’ purchasing behaviour for that product and therefore help the company determine the company’s short and long term product roadmap and projection.

A company can track the product launch activity of competitors through a process known as product data scraping. By monitoring all newly listed products along with their features, pricing and availability the company can determine whether or not their product launch strategy is working or if it needs to be modified by reviewing all of the information collected through product data scraping for their product versus those of competing products.

Using structured product dataset extraction, A Company is able to collect an abundance of Information regarding the various attributes and specifications of products from multiple sources, including manufacturers’ websites, eBay or Amazon. Companies can then compare their own attribute listings, feature sets and positioning with those of other companies to either make improvements to their own listings, and improve differentiation or to provide consistency across all channels.

Through the use of product data scraping on regional internet mercado of companies, companies can collect information regarding localisation of pricing, variations in currency, taxes and differences in availability for every country; therefore, they will have a better understanding of how to implement region-specific pricing strategies and localisation decisions or global expansion strategies that are made with a greater level of confidence and accuracy.

Using structured product dataset extraction, companies can extract publicly available supplier, vendor and distributor information out of catalogs and online marketplaces. This information can be used to identify potential business partners for companies, as well as to assess other companies’ offerings and create a targeted outreach strategy. All of the above discussed options would be supported by accurate product level insights.