Automated Competitor Price Monitoring with Bright Data, Google Sheets & OpenAI

Overview

This workflow automates the process of monitoring competitor pricing by integrating Bright Data MCP, Google Sheets, and OpenAI. Scheduled to run weekly, it scrapes competitor product prices and logs the results for analysis.

Key Features

• Automated Scheduling: Uses a schedule trigger to initiate weekly checks.
• Web Scraping: Employs Bright Data MCP Agent to extract competitor pricing from product pages.
• AI Processing: Utilizes OpenAI Chat Model for intelligent data parsing and output formatting.
• Data Logging: Formats and saves competitor pricing data directly into Google Sheets for easy access and tracking.
• Notifications: Sends automated Gmail notifications when new prices are logged.

Benefits

• Time Savings: Eliminates manual price checks, freeing up valuable team resources.
• Accuracy: Reduces human error by automating data collection and formatting.
• Actionable Insights: Centralizes competitor pricing data for quick analysis and strategic decision-making.

Use Cases

• E-commerce businesses tracking competitor pricing trends.
• Marketing teams monitoring market positioning.
• Sales teams adjusting pricing strategies based on real-time competitor data.

Integrations & Automation

Key integrations include Bright Data MCP for scraping, Google Sheets for data storage, OpenAI for data processing, and Gmail for notifications. This seamless automation ensures up-to-date competitor intelligence with minimal manual intervention.