Overview
This workflow automates sneaker price monitoring by leveraging Bright Data for web scraping and Gmail for notifications. It is designed to help users stay updated on price drops for specific sneaker products.
Key Features
- Scheduled Monitoring: Runs daily using a schedule trigger to check sneaker prices.
- Web Scraping Integration: Utilizes Bright Data via HTTP requests to fetch the latest sneaker prices from target websites.
- Data Extraction: Processes HTML responses to extract product titles and prices using code and HTML extractor nodes.
- Conditional Alerts: Compares extracted prices against a predefined threshold and triggers alerts if a price drop is detected.
- Automated Email Notification: Sends a detailed email alert through Gmail when a price drop occurs.
Benefits
- Real-Time Price Tracking: Ensures users never miss a price drop opportunity.
- Time Savings: Eliminates manual price checking, freeing up valuable time.
- Seamless Integration: Connects web scraping and email seamlessly for end-to-end automation.
Use Cases
- Sneaker Resellers: Stay ahead of market trends and act quickly on price drops.
- Retail Buyers: Receive instant alerts for personal sneaker deals.
- Market Analysts: Monitor pricing trends for competitive analysis.
