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
- Scheduled Trigger - Runs the workflow at specified intervals to keep data fresh and up-to-date
- AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract product information from Amazon search results with natural language processing
- Data Processing - Transforms and structures the scraped data for optimal spreadsheet compatibility
- 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