Skip to main content

Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets

Workflow preview

Workflow preview
100%
Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets preview
Open on n8n.io

Important notice

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

1. Workflow Overview

Amazon Keyboard Product Scraper with AI and Google Sheets Integration Target Audience E commerce analysts and researchers Product managers tracking competitor keyboards Data analysts monitoring ...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-scrapegraphai.scrapegraphai, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by vinci-king-01.

Original n8n.io source

1.1 Workflow description

Title
Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets
Workflow name
Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets

Amazon Keyboard Product Scraper with AI and Google Sheets Integration

🎯 Target Audience

  • E-commerce analysts and researchers
  • Product managers tracking competitor keyboards
  • Data analysts monitoring Amazon keyboard market trends
  • Business owners conducting market research
  • Developers building product comparison tools

🚀 Problem Statement

Manual monitoring of Amazon keyboard products is time-consuming and error-prone. This template solves the challenge of automatically collecting, structuring, and storing keyboard product data for analysis, enabling data-driven decision making in the competitive keyboard market.

🔧 How it Works

This workflow automatically scrapes Amazon keyboard products using AI-powered web scraping and stores them in Google Sheets for comprehensive analysis and tracking.

Key Components

  1. Scheduled Trigger - Runs the workflow at specified intervals to keep data fresh and up-to-date
  2. AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract product information from Amazon search results with natural language processing
  3. Data Processing - Transforms and structures the scraped data for optimal spreadsheet compatibility
  4. Google Sheets Integration - Automatically saves product data to your spreadsheet with proper column mapping

📊 Google Sheets Column Specifications

The template creates the following columns in your Google Sheets:

Column Data Type Description Example
title String Product name and model "Logitech MX Keys Advanced Wireless Illuminated Keyboard"
url URL Direct link to Amazon product page "https://www.amazon.com/dp/B07S92QBCX"
category String Product category classification "Electronics"

🛠️ Setup Instructions

Estimated setup time: 10-15 minutes

Prerequisites

  • n8n instance with community nodes enabled
  • ScrapeGraphAI API account and credentials
  • Google Sheets account with API access

Step-by-Step Configuration

1. Install Community Nodes
# Install ScrapeGraphAI community node
npm install n8n-nodes-scrapegraphai
2. Configure ScrapeGraphAI Credentials
  • Navigate to Credentials in your n8n instance
  • Add new ScrapeGraphAI API credentials
  • Enter your API key from ScrapeGraphAI dashboard
  • Test the connection to ensure it's working
3. Set up Google Sheets Connection
  • Add Google Sheets OAuth2 credentials
  • Grant necessary permissions for spreadsheet access
  • Select or create a target spreadsheet for data storage
  • Configure the sheet name (default: "Sheet1")
4. Customize Amazon Search Parameters
  • Update the websiteUrl parameter in the ScrapeGraphAI node
  • Modify search terms, filters, or categories as needed
  • Adjust the user prompt to extract additional fields if required
5. Configure Schedule Trigger
  • Set your preferred execution frequency (daily, weekly, etc.)
  • Choose appropriate time zones for your business hours
  • Consider Amazon's rate limits when setting frequency
6. Test and Validate
  • Run the workflow manually to verify all connections
  • Check Google Sheets for proper data formatting
  • Validate that all required fields are being captured

🔄 Workflow Customization Options

Modify Search Criteria

  • Change the Amazon URL to target specific keyboard categories
  • Add price filters, brand filters, or rating requirements
  • Update search terms for different product types

Extend Data Collection

  • Modify the user prompt to extract additional fields (price, rating, reviews)
  • Add data processing nodes for advanced analytics
  • Integrate with other data sources for comprehensive market analysis

Output Customization

  • Change Google Sheets operation from "append" to "upsert" for deduplication
  • Add data validation and cleaning steps
  • Implement error handling and retry logic

📈 Use Cases

  • Competitive Analysis: Track competitor keyboard pricing and features
  • Market Research: Monitor trending keyboard products and categories
  • Inventory Management: Keep track of available keyboard options
  • Price Monitoring: Track price changes over time
  • Product Development: Research market gaps and opportunities

🚨 Important Notes

  • Respect Amazon's terms of service and rate limits
  • Consider implementing delays between requests for large datasets
  • Regularly review and update your scraping parameters
  • Monitor API usage to manage costs effectively
  • Keep your credentials secure and rotate them regularly

🔧 Troubleshooting

Common Issues:

  • ScrapeGraphAI connection errors: Verify API key and account status
  • Google Sheets permission errors: Check OAuth2 scope and permissions
  • Data formatting issues: Review the Code node's JavaScript logic
  • Rate limiting: Adjust schedule frequency and implement delays

Support Resources:

  • ScrapeGraphAI documentation and API reference
  • n8n community forums for workflow assistance
  • Google Sheets API documentation for advanced configurations

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 - Automated Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - AI-Powered Amazon Product Scraper

Type / Role
n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices
Version 1

Block 3 - Google Sheets Data Storage

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.5

Block 4 - Data Formatting and Processing

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

Block 5 - Sticky Note1

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

Block 6 - Sticky Note2

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

Block 7 - Sticky Note3

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

Block 8 - Sticky Note

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

3. Summary Table

Workflow Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets
Complexity intermediate
Nodes 8
Categories Market Research, AI Summarization
Author vinci-king-01
Published 24 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6394/6394.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 Scrape Amazon keyboard products with ScrapeGraphAI to Google Sheets do?

Amazon Keyboard Product Scraper with AI and Google Sheets Integration Target Audience E commerce analysts and researchers Product managers tracking competitor keyboards Data analysts monitoring ...

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, AI Summarization use case.