This n8n workflow is designed to automate the process of monitoring competitor pricing on eCommerce websites, such as Nike. It periodically scrapes product prices and details from specified URLs, processes the raw data into a structured format, stores it in Google Sheets, and sends email notifications upon successful logging. The workflow effectively reduces manual effort, ensures timely price tracking, and helps maintain competitive pricing strategies.
The workflow begins with a scheduled trigger that initiates the process, allowing for flexible frequency such as daily or weekly checks. A ‘Product Page URL’ node provides the target URL, which can be manually overridden for testing or specific products.
Next, an AI-powered agent, connected via Bright Data’s MCP (Mobile Carrier Proxy), scrapes dynamic website content that loads via JavaScript, fetching comprehensive product details. An OpenAI model further assists in planning or refining the scraping process.
Once data is collected, it is parsed into a clean, structured JSON format using output parsing nodes. The structured data is then formatted into individual product entries and appended to a Google Sheets document, which acts as a log for ongoing price monitoring.
After successful data entry, an email notification is dispatched to inform the user or team that new competitor pricing has been logged, streamlining monitoring efforts. Additional notes suggest that users can customize URLs, schedule frequency, and email contents to fit specific needs.
This workflow is ideal for eCommerce managers, price strategists, and SaaS providers who want to stay competitive by automating the continuous tracking of competitor prices, thus enabling more data-driven pricing decisions and market insights.
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