πŸ“Š Scheduled Walmart product scraping to Google Sheets with ScrapeOps

⚑ 119 views Β· πŸ“Š Market Research & Insights

πŸ’‘ Pro Tip β€” HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it β€” it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

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Description

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?

What problems it solves

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.

Set up steps (~5–10 minutes)

Pre-conditions

Disclaimer

This template uses ScrapeOps as a community node. You are responsible for complying with Walmart’s Terms of Use, robots directives, and applicable laws in your jurisdiction. Scraping targets may change at any time; adjust render/scroll/wait settings and parsers as needed. Use responsibly for legitimate business purposes.

πŸ”— Nodes Used

Google Sheets, Slack, Schedule Trigger

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup