This n8n workflow automates the process of monitoring sneaker prices on resale sites like StockX, enabling users to receive email alerts when prices drop below a specified threshold. It includes scheduled scraping, HTML data extraction, price comparison, and conditional email notifications, all designed to run seamlessly on an everyday schedule.
The workflow begins with a scheduled trigger that prompts Bright Data’s Web Unlocker to scrape sneaker listings daily, bypassing bot protections. The raw webpage HTML is then processed with an HTML extractor node to pull out sneaker titles and prices using CSS selectors. A custom function converts price strings into numerical values for comparison.
Next, an IF node compares the current sneaker prices against your target budget. If the price is lower than your set threshold, an email alert is sent via Gmail, providing details about the sneaker and its price. If the price does not meet your criteria, the workflow ends without alerting.
This automation is ideal for sneaker enthusiasts or resellers who want to stay updated on price drops without manual checking, ensuring timely notifications for the best deals.
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