Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. You are responsible for ensuring your extraction pipelines comply with all relevant policies. Getting structured product data from Walmart is a common requirement for e-commerce analytics, competitive intelligence, and building AI agents. However, parsing the raw HTML of massive retail sites is brittle. Layouts change, selectors break, and maintaining extraction code becomes a full-time job. Instead of writing another scraper, treating Walmart as a data API is a more scalable approach. By passing a JSON schema to a specialized extraction endpoint, you can retrieve validated, typed data without touching CSS selectors or HTML parsing logic. If you haven't set up your environment yet, check out our Getting started guide . Why use Walmart data?…