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