n8n Competitor Price & Stock Monitor with Gemini, Sheets, Slack

Track competitor prices and stock changes automatically—then notify you only when it matters

This n8n workflow monitors competitor product pages daily, extracts price and stock from structured data, and logs every check to Google Sheets. It uses Google Gemini only when needed, and sends Slack alerts only on real price moves or stock changes—reducing noise while keeping you up to date.

What this workflow does

• Daily watchlist scanning: Reads your Watchlist and History tabs, removes duplicate or inactive rows, and skips URLs checked within the last minHoursBetweenChecks.
• Polite, reliable page checks: Processes pages one at a time with a pause to avoid aggressive crawling.
• Structured-data first extraction: Attempts a keyless demo extractor API, then fetches the page and reads JSON-LD, meta tags, and microdata.
• Gemini fallback with safeguards: If structured data is missing, it uses Google Gemini with a strict schema. If Gemini fails, it falls back to extracting price from page text.
• Intelligent change detection: Compares each result with the last known price. Sends Slack alerts only when the price change meets minChangePct or when stock changes. Low-confidence reads are logged, not alerted.
• Full auditing: Appends every check to the History tab. Failed checks and Sheets/Slack errors go to an Errors tab. A short run summary is posted to Slack.

Use cases

• SaaS operators tracking competitor pricing to plan promotions or margin strategy.
• Automation engineers monitoring inventory/availability across multiple competitor SKUs.
• Teams needing audit-friendly reporting (price, stock, failures) via Google Sheets.

Technical details

• Google Sheets integration (Watchlist, History, Errors tabs)
• Slack notifications (price/stock changes + run summary)
• Google Gemini for structured extraction when needed
• Core n8n nodes/logic: if, set, code, no op, wait, slack

Ideal for n8n automation workflows that require competitor price and stock monitoring with controlled alerting, configurable thresholds, and reliable fallback extraction.