Monitor e-commerce prices three times daily using Decodo scraping, OpenAI analysis, and Google Sheets logging to detect changes, categorize alerts, and guide pricing decisions.
The AI agent continuously monitors product prices from multiple e-commerce sites three times daily using Decodo for scraping. It analyzes price data with OpenAI to extract structured insights and classify changes. It logs all data into Google Sheets for trend analysis and triggers targeted, actionable alerts based on thresholds.
One supporting sentence with short explanation.
Trigger tri-daily price checks.
Scrape real-time prices with Decodo.
Parse and structure price data using AI.
Log data to Google Sheets for history.
Evaluate prices against thresholds and generate recommendations.
Send targeted email alerts with actionable insights.
Before integrating this AI agent, teams faced manual, time-consuming price tracking and inconsistent alerts. After deployment, price monitoring is automated, threshold-based decisions are supported by AI, and alerts are timely, prioritized, and actionable.
One supporting sentence with short explanation.
Connect Decodo, set product URLs with IDs, and define premium/default/budget thresholds.
Decodo fetches prices; OpenAI parses and structures price data for each product.
Push data to Google Sheets, compare against thresholds, and send email alerts with actionable insights.
One supporting sentence with short explanation.
Scenario: A pricing team monitors 20 SKUs across 3 retailers at 9 AM, 3 PM, and 9 PM. The Decodo scraper returns current prices; OpenAI analyzes pages and structures the data. The agent logs results to Google Sheets, classifies changes as CRITICAL or STANDARD, and emails stakeholders with recommended actions.
One supporting sentence.
Monitor competitive price movements and optimize margins.
Track category-level price changes and adjust promotions.
Identify competitor pricing strategies and respond quickly.
Develop data-driven pricing experiments with reliable data.
Automate alerting and logging to reduce manual toil.
Tie pricing signals to campaigns for optimized messaging.
One supporting sentence with short explanation.
Scrapes real-time prices from retailers and feeds data into the AI agent.
Analyzes pages and extracts structured price data with AI-driven insights.
Logs price history and supports trend analysis and forecasting.
Sends alert emails with actionable insights to recipients.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The AI agent relies on Decodo for real-time scraping of product pages and OpenAI for language-based analysis to structure price data. It also uses Google Sheets for logging and Gmail for alerts. These integrations provide a centralized, auditable view of price movements. The system does not require proprietary feeds beyond the standard API integrations.
The AI agent runs on a tri-daily schedule (9 AM, 3 PM, 9 PM) to capture price fluctuations throughout the day. It automatically triggers data extraction, AI analysis, logging, and alerting in a single workflow. You can adjust the times or frequency via configuration variables. Alerts reflect the latest data and are categorized by severity.
Yes. Thresholds can be defined for premium, default, and budget categories and mapped to individual products or SKUs. Changes are evaluated against these category-specific thresholds before alerts are issued. You can update thresholds without modifying the underlying scraping or AI analysis. This ensures pricing decisions stay aligned with category strategy.
The agent relies on Decodo for scraping; if a site blocks access, data may be partially missing or delayed. The workflow includes error handling and retry logic, but availability may vary by site. In such cases, alerts will still indicate missing data and suggest alternative sources or manual review.
Alerts are sent via Gmail to designated recipients with an indication of severity (CRITICAL vs STANDARD) and actionable recommendations. The messages include context, data references, and suggested next steps. You can update recipients and notification rules in the configuration.
Yes. All price data is logged to Google Sheets for historical tracking and trend analysis. The sheet can be exported or connected to dashboards for forecasting. The AI agent maintains a rolling history to support comparisons and forecasting. Access controls govern who can view sensitive pricing data.
You need Decodo API credentials for scraping, OpenAI API credentials for AI analysis, Google Sheets OAuth2 with edit rights, and Gmail OAuth2 for email alerts. Environment variables must be configured for thresholds and recipients. Product URLs should include internal tracking IDs to map data to SKUs. This ensures accurate logging and alerting.
Monitor e-commerce prices three times daily using Decodo scraping, OpenAI analysis, and Google Sheets logging to detect changes, categorize alerts, and guide pricing decisions.
