π n8n Learning Hub β AI-Powered YouTube Educator Directory π Overview This workflow demonstrates how to use n8n Data Tables to create a searchable database of educational YouTube content. Users can search for videos by topic (e.g., "voice", "scraping", "lead gen") and receive formatted recommendations from top n8n educators. What This Workflow Does: Receives search queries** via webhook (e.g., topic: "voice agents") Processes keywords** using JavaScript to normalize search terms Queries a Data Table** to find matching educational videos Returns formatted results** with video titles, educators, difficulty levels, and links Populates the database** with a one-time setup workflow π― Key Features β Data Tables Introduction - Learn how to store and query structured data β Webhook Integration - Accept external requests and return JSON responses β Keyword Processing - Simple text normalization and keyword matching β Batch Operations - Use Split in Batches to populate tables efficien
Scriflow builds and adapts n8n workflows with AI. Open this template in the editor to get the import-ready JSON.