Scheduled Walmart product scraping to Google Sheets with ScrapeOps

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

1. Schedule triggers every 4 hours. 2. Keyword builds a Walmart search URL. 3. ScrapeOps Proxy API fetches HTML (render + scroll). 4. ScrapeOps Parser API extracts structured product fields. 5. Validate & format rows; drop empties/bad prices. 6. Append to Google Sheets for reporting/dashboards. 7. (Optional) Slack posts a summary with your results link.