Block 1 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
Description This n8n template demonstrates how to turn raw YouTube comments into research backed content ideas complete with hooks and outlines . Use cases include: Quickly mining a competitor’s au...
@n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.filter, @n8n/n8n-nodes-langchain.toolhttprequest, n8n-nodes-base.googlesheets
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Muhammad Bello.
Original n8n.io sourceThis n8n template demonstrates how to turn raw YouTube comments into research-backed content ideas complete with hooks and outlines.
Use cases include:
Good to know
Your Google Sheet should include these columns (in this order):
id | text | author | likes | isIdea | topic | research | hook | outline
Time to set up: ~15–25 minutes for a first-time n8n user (less if you already have credentials handy).
depth: basic vs depth: advanced) to control how detailed the background research is. #content-ideas), Notion (your content board), or Email (notify the content manager instantly). 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.
| Workflow | Turn YouTube comments into content ideas with GPT-4.1-mini, Tavily & Apify |
|---|---|
| Complexity | advanced |
| Nodes | 20 |
| Categories | Content Creation, Multimodal AI |
| Author | Muhammad Bello |
| Published | 16 Aug 2025 |
Use the JSON export at /data/workflows/7479/7479.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
Description This n8n template demonstrates how to turn raw YouTube comments into research backed content ideas complete with hooks and outlines . Use cases include: Quickly mining a competitor’s au...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Content Creation, Multimodal AI use case.