The article explores how digital-first retailers are leveraging web data from various sources to compare their product listings with those of competitors, addressing challenges such as diverse data formats and non-uniform product identifiers used by vendors to hinder direct comparisons. It highlights the use of a Web Scraper API, an automated eCommerce data collection solution, which offers several strategies to enhance competitive positioning: smart pricing comparison, item specifics mapping, customer review analysis, listing title optimization, and effective use of visuals. The API's ability to collect and cross-reference multiple data points helps retailers make informed decisions about pricing, product specifications, customer preferences, title formulation, and visual presentation, ultimately improving sales and market share. The article underscores the importance of automated solutions in navigating complex data landscapes to maintain a competitive edge.