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Scheduled Walmart product scraping to Google Sheets with ScrapeOps

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Scheduled Walmart product scraping to Google Sheets with ScrapeOps preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow 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 (...

Best for

  • Market Research automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, @scrapeops/n8n-nodes-scrapeops.scrapeops, n8n-nodes-base.set, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.scheduletrigger, n8n-nodes-base.if, n8n-nodes-base.slack

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ian Kerins.

Original n8n.io source

1.1 Workflow description

Title
Scheduled Walmart product scraping to Google Sheets with ScrapeOps
Workflow name
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.

Set up steps (~5–10 minutes)

  • Google Sheets: Duplicate the template and paste your link in the Google Sheets node.
  • ScrapeOps API: Get a free key here and add it under Credentials → ScrapeOps API. See docs.
  • Keyword: Update the search term in Set Search Parameters.
  • (Optional) Configure the Slack node or remove it.

Pre-conditions

  • n8n instance running with outbound internet access.
  • Google account with access to the destination Sheet.
  • ScrapeOps account + API key with sufficient quota.
  • Basic familiarity with editing node parameters in n8n.

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - ScrapeOps Parser

Type / Role
@scrapeops/n8n-nodes-scrapeops.ScrapeOps - ScrapeOps
Config choices
Version 1

Block 3 - ScrapeOps Proxy

Type / Role
@scrapeops/n8n-nodes-scrapeops.ScrapeOps - ScrapeOps
Config choices
Version 1

Block 4 - Add Metadata

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.2

Block 5 - Save to Google Sheets

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

Block 6 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Format Product Data

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.2

Block 11 - Split Products Array

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 12 - Set Search Parameters

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.2

Block 13 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.1

Block 14 - Filter Valid Products

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2

Block 15 - Send Slack Summary

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.1

3. Summary Table

Workflow Scheduled Walmart product scraping to Google Sheets with ScrapeOps
Complexity advanced
Nodes 15
Categories Market Research
Author Ian Kerins
Published 06 Nov 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/10563/10563.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Scheduled Walmart product scraping to Google Sheets with ScrapeOps do?

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 (...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research use case.