Website Monitoring System

n8n PostgreSQL Webhooks JavaScript AI Analysis Email Alerts Slack Alerts

Automated website monitoring pipeline that detects meaningful content changes and triggers smart alerts without manual checking.

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Website monitoring system overview with project description and multiple n8n workflows

n8n execution view showing scheduled website monitoring workflow

n8n webhook workflow for adding a website into the monitoring system

n8n alert workflow that analyzes changes and sends notifications

n8n Automation

Project Summary

We built a full website monitoring system using n8n, PostgreSQL, webhook APIs, and AI analysis. The workflow adds websites into the monitoring database, runs a scheduled content check every 5 minutes, calculates hashes to detect meaningful changes, stores change logs, and uses LLM analysis to decide whether an alert is worth sending. When needed, it sends email and Slack notifications so teams can react quickly without watching pages manually.

Result

Runs every 5 minutes with AI-powered alerting

What This System Handles

Webhook-based website onboarding workflow with input validation and database insertion
Scheduled monitoring loop that fetches pages, calculates hashes, and compares content against stored records
AI-powered change analysis that filters noise and determines whether an alert is required
Multi-channel alerting flow for email and Slack with change logging and alert tracking
PostgreSQL-backed history for website records, change records, and delivery status

Tech Stack

n8n PostgreSQL Webhooks JavaScript AI Analysis Email Alerts Slack Alerts

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