Automate Doc Change Alerts: Firecrawl & Postgres Integration

Stay ahead of critical documentation changes with this intelligent monitoring workflow that automatically tracks external docs sites, detects updates using content hashing, and delivers AI-generated Vietnamese summaries to Telegram. Perfect for developers who can't afford to miss upstream API or SDK documentation changes.

What this workflow does

This automated documentation monitoring system runs daily at 9:00 AM to keep you informed of any changes to external documentation sites. The workflow uses Firecrawl Map to enumerate every URL under your target docs site, then automatically scrapes each page to extract clean markdown content. A sophisticated PostgreSQL-based content hashing system using SHA-256 compares current content against previous snapshots, identifying pages as "new," "changed," or "same." When real changes are detected, Google Gemini 2.0 Flash generates comprehensive Vietnamese summaries that are instantly delivered to your Telegram chat. If nothing has changed, the workflow ends silently to avoid notification noise.

Use cases

• API consumers tracking upstream documentation changes to update integration code
• Integration maintainers monitoring SDK documentation for breaking changes
• Community node developers staying current with third-party API updates
• Development teams managing client library dependencies
• DevOps engineers tracking infrastructure documentation changes

Technical details

Built for self-hosted n8n environments using the n8n-nodes-firecrawl-v2 community node. The workflow leverages Firecrawl (Cloud or self-hosted), PostgreSQL for content hashing and change detection, Google Gemini for AI-powered summarization, and Telegram for instant notifications. Setup takes 15-20 minutes and includes SQL schema configuration for the docs_snapshots database table.

This flexible template works with any Firecrawl deployment and any documentation source, making it a versatile solution for automated documentation change monitoring across your entire tech stack.