This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
How it works
This automated workflow monitors stock prices by scraping real-time data from Yahoo Finance. It uses a scheduled trigger to run at specified intervals, extracts key stock metrics using AI-powered extraction, formats the data through a custom code node, and automatically saves the structured information to Google Sheets for tracking and analysis.
Key Steps:
- Scheduled Trigger: Runs automatically at specified intervals to collect fresh stock data
- AI-Powered Scraping: Uses ScrapeGraphAI to intelligently extract stock information (symbol, current price, price change, change percentage, volume, and market cap) from Yahoo Finance
- Data Processing: Formats extracted data through a custom Code node for optimal spreadsheet compatibility and handles both single and multiple stock formats
- Automated Storage: Saves all stock data to Google Sheets with proper column mapping for easy filtering, analysis, and historical tracking
Set up steps
Setup Time: 5-10 minutes
- Configure Credentials: Set up your ScrapeGraphAI API key and Google Sheets OAuth2 credentials
- Customize Target: Update the website URL in the ScrapeGraphAI node to your desired stock symbol (currently set to AAPL)
- Configure Schedule: Set your preferred trigger frequency (daily, hourly, etc.) for stock price monitoring
- Map Spreadsheet: Connect to your Google Sheets document and configure column mapping for the stock data fields
Pro Tips:
- Keep detailed configuration notes in the sticky notes within the workflow
- Test with a single stock first before scaling to multiple stocks
- Consider modifying the Code node to handle different stock symbols or add additional data fields
- Perfect for building a historical database of stock performance over time
- Can be extended to track multiple stocks by modifying the ScrapeGraphAI prompt