Overview This n8n template automates Walmart product discovery and sends clean results to Google Sheets on a fixed schedule (default: every 4 hours). It uses ScrapeOps Proxy API for resilient page fetches (with JS render + scroll) and ScrapeOps Parser API for structured data extraction (title, price, rating, reviews, image, URL, sponsored flag). The result is a repeatable, low-maintenance workflow for market research, price monitoring, and assortment tracking; ideal for ops and growth teams that need fresh data without babysitting scrapers. Who is this for? E-commerce operators** tracking price & inventory signals Market/competitive analysts** building price baskets and trend views Growth & SEO teams** validating product coverage and SERP facets No-code/low-code builders** who prefer visual pipelines over custom code What problems it solves Reliability:** Offloads JS rendering and scrolling to ScrapeOps to reduce breakage. Structure:** Normalizes fields for analysis-ready rows in Sheets. Scale:** Runs on a timer; no manual downloading or copy-paste. Speed to value:** Simple setup, minimal credentials, immediate output. How it works Schedule triggers every 4 hours.
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