Create a searchable YouTube educator directory with smart keyword matching

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

n8n Learning Hub — AI Powered YouTube Educator Directory Overview This workflow demonstrates how to use n8n Data Tables to create a searchable database of educational YouTube content. Users c...

Best for

Internal Wiki automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.datatable, n8n-nodes-base.respondtowebhook, n8n-nodes-base.set, n8n-nodes-base.manualtrigger, n8n-nodes-base.splitinbatches, n8n-nodes-base.stickynote, n8n-nodes-base.code

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by David Olusola.

Original n8n.io source

1.1 Workflow description

Title: Create a searchable YouTube educator directory with smart keyword matching
Workflow name: Create a searchable YouTube educator directory with smart keyword matching

🎓 n8n Learning Hub — AI-Powered YouTube Educator Directory

📋 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

🎯 Key Features

✅ Data Tables Introduction - Learn how to store and query structured data
✅ Webhook Integration - Accept external requests and return JSON responses
✅ Keyword Processing - Simple text normalization and keyword matching
✅ Batch Operations - Use Split in Batches to populate tables efficiently
✅ Frontend Ready - Easy to connect with Lovable, Replit, or custom UIs

🛠️ Setup Guide

Step 1: Import the Workflow

Copy the workflow JSON
In n8n, go to Workflows → Import from File or Import from URL
Paste the JSON and click Import

Step 2: Create the Data Table

The workflow uses a Data Table called n8n_Educator_Videos with these columns:

Educator (text) - Creator name
video_title (text) - Video title
Difficulty (text) - Beginner/Intermediate/Advanced
YouTubeLink (text) - Full YouTube URL
Description (text) - Video summary for search matching

To create it:

Go to Data Tables in your n8n instance
Click + Create Data Table
Name it n8n_Educator_Videos
Add the 5 columns listed above

Step 3: Populate the Database

Click on the "When clicking 'Execute workflow'" node (bottom branch)
Click Execute Node to run the setup
This will insert all 9 educational videos into your Data Table

Step 4: Activate the Webhook

Click on the Webhook node (top branch)
Copy the Production URL (looks like: https://your-n8n.app.n8n.cloud/webhook/1799531d-...)
Click Activate on the workflow
Test it with a POST request:

curl -X POST https://your-n8n.app.n8n.cloud/webhook/YOUR-WEBHOOK-ID \
  -H "Content-Type: application/json" \
  -d '{"topic": "voice"}'

🔍 How the Search Works

Keyword Processing Logic

The JavaScript node normalizes search queries:

"voice", "audio", "talk" → Matches voice agent tutorials
"lead", "lead gen" → Matches lead generation content
"scrape", "data", "scraping" → Matches web scraping tutorials

The Data Table query uses LIKE matching on the Description field, so partial matches work great.

Example Queries:

{"topic": "voice"}        // Returns Eleven Labs Voice Agent
{"topic": "scraping"}     // Returns 2 scraping tutorials
{"topic": "avatar"}       // Returns social media AI avatar videos
{"topic": "advanced"}     // Returns all advanced-level content

🎨 Building a Frontend with Lovable or Replit

Option 1: Lovable (lovable.dev)

Lovable is an AI-powered frontend builder perfect for quick prototypes.

Prompt for Lovable:

Create a modern search interface for an n8n YouTube learning hub:

- Title: "🎓 n8n Learning Hub"
- Search bar with placeholder "Search for topics: voice, scraping, RAG..."
- Submit button that POSTs to webhook: [YOUR_WEBHOOK_URL]
- Display results as cards showing:
  * 🎥 Video Title (bold)
  * 👤 Educator name
  * 🧩 Difficulty badge (color-coded)
  * 🔗 YouTube link button
  * 📝 Description

Design: Dark mode, modern glassmorphism style, responsive grid layout

Implementation Steps:

Go to lovable.dev and start a new project
Paste the prompt above
Replace [YOUR_WEBHOOK_URL] with your actual webhook
Export the code or deploy directly

Option 2: Replit (replit.com)

Use Replit's HTML/CSS/JS template for more control.

HTML Structure:

&lt;!DOCTYPE html&gt;
&lt;html&gt;
&lt;head&gt;
  &lt;title&gt;n8n Learning Hub&lt;/title&gt;
  &lt;style&gt;
    body { font-family: Arial; max-width: 900px; margin: 50px auto; }
    #search { padding: 10px; width: 70%; font-size: 16px; }
    button { padding: 10px 20px; font-size: 16px; }
    .video-card { border: 1px solid #ddd; padding: 20px; margin: 20px 0; }
  &lt;/style&gt;
&lt;/head&gt;
&lt;body&gt;
  <h1>🎓 n8n Learning Hub</h1>
  &lt;input id="search" placeholder="Search: voice, scraping, RAG..." /&gt;
  &lt;button onclick="searchVideos()"&gt;Search&lt;/button&gt;
  <div></div>

  &lt;script&gt;
    async function searchVideos() {
      const topic = document.getElementById('search').value;
      const response = await fetch('YOUR_WEBHOOK_URL', {
        method: 'POST',
        headers: {'Content-Type': 'application/json'},
        body: JSON.stringify({topic})
      });
      const data = await response.json();
      document.getElementById('results').innerHTML = data.Message || 'No results';
    }
  &lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;

Option 3: Base44 (No-Code Tool)

If using Base44 or similar no-code tools:

Create a Form with a text input (name: topic)
Add a Submit Action → HTTP Request
Set Method: POST, URL: Your webhook
Map form data: {"topic": "{{topic}}"}
Display response in a Text Block using {{response.Message}}

📊 Understanding Data Tables

Why Data Tables?

Persistent Storage - Data survives workflow restarts
Queryable - Use conditions (equals, like, greater than) to filter
Scalable - Handle thousands of records efficiently
No External DB - Everything stays within n8n

Common Operations:

Insert Row - Add new records (used in the setup branch)
Get Row(s) - Query with filters (used in the search branch)
Update Row - Modify existing records by ID
Delete Row - Remove records

Best Practices:

Use descriptive column names
Include a searchable text field (like Description)
Keep data normalized (avoid duplicate entries)
Use the "Split in Batches" node for bulk operations

🚀 Extending This Workflow

Ideas to Try:

Add More Educators - Expand the video database
Category Filtering - Add a Category column (Automation, AI, Scraping)
Difficulty Sorting - Let users filter by skill level
Vote System - Add upvote/downvote columns
Analytics - Track which topics are searched most
Admin Panel - Build a form to add new videos via webhook

Advanced Features:

AI-Powered Search - Use OpenAI embeddings for semantic search
Thumbnail Scraping - Fetch YouTube thumbnails via API
Auto-Updates - Periodically check for new videos from educators
Personalization - Track user preferences in a separate table

🐛 Troubleshooting

Problem: Webhook returns empty results
Solution: Check that the Description field contains searchable keywords

Problem: Database is empty
Solution: Run the "When clicking 'Execute workflow'" branch to populate data

Problem: Frontend not connecting
Solution: Verify webhook is activated and URL is correct (use Test mode first)

Problem: Search too broad/narrow
Solution: Adjust the keyword logic in "Load Video DB" node

📚 Learning Resources

Want to learn more about the concepts in this workflow?

Data Tables: n8n Data Tables Documentation
Webhooks: Webhook Node Guide
JavaScript in n8n: "Every N8N JavaScript Function Explained" (see database)

🎓 What You Learned

By completing this workflow, you now understand: ✅ How to create and populate Data Tables
✅ How to query tables with conditional filters
✅ How to build webhook-based APIs in n8n
✅ How to process and normalize user input
✅ How to format data for frontend consumption
✅ How to connect n8n with external UIs

Happy Learning! 🚀
Built with ❤️ using n8n Data Tables

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 2 - Get row(s)

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1

Block 3 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.4

Block 4 - Set Message

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - When clicking 'Execute workflow'

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 6 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 7 - Main Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Insert row

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1

Block 9 - Section 1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Section 2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Section 3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Load Video Database

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 13 - Process Search Term

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

3. Summary Table

Workflow	Create a searchable YouTube educator directory with smart keyword matching
Complexity	intermediate
Nodes	13
Categories	Internal Wiki
Author	David Olusola
Published	05 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10518/10518.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Internal Wiki workflows

Frequently asked questions

What does Create a searchable YouTube educator directory with smart keyword matching do?

n8n Learning Hub — AI Powered YouTube Educator Directory Overview This workflow demonstrates how to use n8n Data Tables to create a searchable database of educational YouTube content. Users c...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Internal Wiki use case.

David Olusola

92 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.datatable n8n-nodes-base.respondtowebhook n8n-nodes-base.set n8n-nodes-base.manualtrigger n8n-nodes-base.splitinbatches n8n-nodes-base.stickynote n8n-nodes-base.code

Complexity

intermediate

Published 05 Nov 2025

Likes 0

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Install path: /data/workflows/10518/10518.json

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Create a searchable YouTube educator directory with smart keyword matching

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🎓 n8n Learning Hub — AI-Powered YouTube Educator Directory

📋 Overview

What This Workflow Does:

🎯 Key Features

🛠️ Setup Guide

Step 1: Import the Workflow

Step 2: Create the Data Table

Step 3: Populate the Database

Step 4: Activate the Webhook

🔍 How the Search Works

Keyword Processing Logic

Example Queries:

🎨 Building a Frontend with Lovable or Replit

Option 1: Lovable (lovable.dev)

Option 2: Replit (replit.com)

Option 3: Base44 (No-Code Tool)

📊 Understanding Data Tables

Why Data Tables?

Common Operations:

Best Practices:

🚀 Extending This Workflow

Ideas to Try:

Advanced Features:

🐛 Troubleshooting

📚 Learning Resources

🎓 What You Learned

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Get row(s)

Block 3 - Respond to Webhook

Block 4 - Set Message

Block 5 - When clicking 'Execute workflow'

Block 6 - Loop Over Items

Block 7 - Main Overview

Block 8 - Insert row

Block 9 - Section 1

Block 10 - Section 2

Block 11 - Section 3

Block 12 - Load Video Database

Block 13 - Process Search Term

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions