CHANGE LOG

INTRODUCTION

Built on n8n, this powerful automation system extracts URLs from a sitemap, checks them against a Supabase database to avoid duplicates, scrapes website content using Crawl4AI, cleans and processes the scraped data, and finally stores it as structured information in a Supabase vector store. This comprehensive workflow ensures efficient URL management, high-quality content scraping, and robust data storage.

This streamlined system automates complex web scraping tasks, transforming raw website data into valuable, structured intelligence for further analysis and application.

How It Works

At the heart of this automation is an advanced workflow that orchestrates the entire scraping and data management process seamlessly, ensuring accuracy and efficiency.

📝 Step 1: URL Extraction and Validation

URLs are extracted automatically from a website sitemap.
Extracted URLs are validated against a Supabase database to prevent duplicate processing.
New URLs are queued for scraping.

🧠 Step 2: Web Page Scraping and Data Processing

URLs are sent to Crawl4AI for scraping, extracting webpage content.
The scraped data is thoroughly cleaned and redundant information is removed.
Data undergoes a quality check, content type detection, and detailed metadata extraction.

📚 Step 3: Structured Data Storage

Processed content is split and embeddings are generated using OpenAI.
Structured data, along with comprehensive metadata, is stored securely in a Supabase vector store.
Task statuses are updated in real-time, providing a complete audit trail.