Block 1 - When clicking ‘Test workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
YouTube Content Repurposing Automation Who's it for This workflow is for content creators, marketers, agencies, coaches, and businesses who want to maximize their YouTube content ROI by automatical...
n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.switch, n8n-nodes-base.filter, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Alexandra Spalato.
Original n8n.io sourceThis workflow is for content creators, marketers, agencies, coaches, and businesses who want to maximize their YouTube content ROI by automatically generating multiple content assets from single videos. It's especially useful for professionals who want to:
Content creators face significant challenges when trying to maximize their video content:
Time-intensive manual repurposing: Converting one YouTube video into multiple content formats traditionally requires hours of manual writing, editing, and formatting across different platforms.
Inconsistent content quality: Manual repurposing often leads to varying quality levels and missed opportunities to optimize content for specific platforms.
High costs for content services: Hiring ghostwriters or content agencies to repurpose videos can cost thousands of dollars monthly.
Scaling bottlenecks: Manual processes prevent creators from efficiently scaling their content across multiple channels and formats.
This workflow solves these problems by automatically extracting YouTube video transcripts, using AI to generate multiple high-quality content formats (tutorials, blog posts, social media content, newsletters), and organizing everything in Airtable for easy management and distribution.
Automated Video Processing
Starts with a manual trigger and retrieves YouTube URLs from your Airtable configuration, processing only videos marked as "selected" while filtering out those marked for deletion.
Intelligent Transcript Extraction
Uses Scrape Creator API to extract video transcripts, automatically cleaning and formatting the text for optimal AI processing and content generation.
Multi-Format Content Generation
Leverages OpenRouter models, o you can easily test different AI models and choose the one that delivers the best results for your needs:
Smart Content Filtering
Processes only the content types you've selected in Airtable, ensuring efficient resource usage and faster execution times.
Automated Content Organization
Matches and combines all generated content pieces by URL, then updates your Airtable with complete, ready-to-use content assets organized by type and source video.
Create an Airtable base with one main table:
Videos Table:
Scrape Creator Setup:
https://api.scrapecreators.com/v1/youtube/video/transcriptOpenAI Setup:
Edit the LLM Chain nodes to customize content style and format:
Update the OpenRouter Chat Model to use different models
Create additional LLM Chain nodes for new content types:
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.
Showing the first 24 of 32 workflow blocks. Download the JSON for the full node graph.
| Workflow | Repurpose YouTube videos to multiple content types with OpenRouter AI and Airtable |
|---|---|
| Complexity | advanced |
| Nodes | 32 |
| Categories | Content Creation, Multimodal AI |
| Author | Alexandra Spalato |
| Published | 02 Aug 2025 |
Use the JSON export at /data/workflows/6899/6899.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.
YouTube Content Repurposing Automation Who's it for This workflow is for content creators, marketers, agencies, coaches, and businesses who want to maximize their YouTube content ROI by automatical...
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.