Monitor dynamic pricing pages, extract structured data with Gemini, compare against historical baselines in Sheets, log updates, and notify Slack when price shifts exceed thresholds.
The AI agent automates end-to-end price monitoring by extracting pricing data from dynamic competitor pages and structuring it for analysis. It compares current prices with a rolling baseline stored in Google Sheets and logs every step for auditability. It notifies Slack immediately when price changes exceed thresholds, while maintaining an accurate historical record for trend analysis.
End-to-end price tracking from extraction to alerting.
Extracts pricing plans and prices from dynamic competitor pages and outputs a clean JSON structure.
Normalizes data into a consistent schema for reliable comparisons.
Compares current prices to the previous run baseline, computing percentage changes per plan.
Filters to identify only significant changes based on the threshold and currency rules.
Sends targeted alerts to Slack when changes exceed the configured threshold.
Updates the historical baseline by shifting Current Plans to Last Plans in Sheets for the next run.
Before you deploy this AI agent, teams endure inconsistent data, delayed alerts, and noisy notifications. After deployment, you get precise changes, reliable baselines, and actionable alerts.
A simple 3-step system that non-technical users can follow.
Schedule the AI agent to run at your desired interval and specify the target URLs and threshold in a Google Sheets config.
Decodo renders dynamic pages to HTML, and Gemini converts the HTML into a clean JSON array of plans with prices and features.
Code logic compares current and previous plan lists, decides if a threshold is met, triggers Slack alert, and updates Sheets to set the new baseline.
A realistic daily run showing inputs, actions, and outcomes.
Scenario: A SaaS pricing page lists three plans. At 09:00 UTC, the AI agent scrapes dynamic pricing, extracts Pro plan from $29 to $33 (approximately +13.8%), and detects a minor shift in Plus plan. Threshold is set at 10%. The agent logs the changes, updates the historical baseline in Sheets, and sends a Slack alert with a concise summary of each affected plan and the new baseline. The next run uses the updated data for comparison.
Roles that rely on accurate price movements and timely actions.
Needs consistent, up-to-date rival pricing data to inform price strategy.
Wants visibility into how pricing changes relate to feature bundles and promotions.
Requires reliable alerts to adjust messaging when competitors raise or cut prices.
Prefers automated signals that help adjust discounting and packaging.
Seeks a quick, accurate read on market movements without manual checking.
Benefits from understanding pricing shifts that affect customer value.
Core tools used by the AI agent to extract, parse, store, and alert.
Dynamic scraping with JavaScript rendering to fetch complete pricing pages.
AI structuring to extract a clean JSON array of plans with prices and features.
Maintains the historical baseline by shifting Current Plans to Last Plans for the next run.
Delivers targeted alerts when price changes exceed the threshold.
Practical scenarios where the AI agent adds value.
Common questions about setup, data, and alerts.
The AI agent uses Decodo to render JavaScript-driven pages and Gemini to parse the resulting HTML into a structured JSON array of plans, prices, and features. This avoids brittle CSS selectors and adapts to layout changes. The process runs on schedule, with error handling for missing data and edge cases like priceless plans. Data is normalized into a consistent schema for reliable comparisons.
The agent runs on a configurable schedule stored in Google Sheets. Thresholds are defined in the Config: Alert Parameters node, allowing you to tailor sensitivity for price increases or decreases. You can set separate values for different regions or currencies if needed. Runs can be paused or resumed from the same sheet.
When the calculated change meets or exceeds the threshold, the agent compiles a concise, structured alert and sends it to Slack. It also updates the historical baseline by shifting the Current Plans data to the Last Plans column, ensuring the next run uses the latest baseline for comparisons.
Baseline data is stored in Google Sheets as JSON strings representing the current and last seen pricing lists. A dedicated script shifts the ‘Current Plans’ to ‘Last Plans’ after each run, preventing drift and preserving a clear before/after history for audits.
Yes. The agent reads a list of target URLs from Google Sheets and can handle multiple currencies with parsing rules and normalization logic. You can configure separate thresholds per URL or currency if needed.
Alerts are sent via Slack by default but can be routed to Gmail, Discord, or Pushover. The delivery channel is controlled by configurable nodes, and the content includes highlighted changes and the new baseline for context.
Yes. You can enable automated CSV or HTML email reports summarizing all movements, including minor changes. The agent can generate a daily digest with a clear before/after summary and attach it to the chosen channel.
Monitor dynamic pricing pages, extract structured data with Gemini, compare against historical baselines in Sheets, log updates, and notify Slack when price shifts exceed thresholds.
