Block 1 - RSS Feed Trigger
- Type / Role
- n8n-nodes-base.rssFeedReadTrigger - rssFeedReadTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Transform YouTube videos to LinkedIn posts via Apify, GPT 4.1 Mini, and Google Sheets This workflow transforms new YouTube videos from any channel into ...
n8n-nodes-base.rssfeedreadtrigger, @apify/n8n-nodes-apify.apify, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.splitout, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ayesha Gull.
Original n8n.io sourceThis workflow transforms new YouTube videos from any channel into high-quality, ready-to-publish LinkedIn posts and saves them directly to a Google Sheet, creating a powerful, automated content repurposing engine.
This template is perfect for content creators, social media managers, and marketing teams who want to save time and consistently repurpose video content for their professional audience on LinkedIn.
This automation monitors a specific YouTube channel for new video uploads. When a new video is detected, it automatically extracts the full transcript. The transcript is then sent to an advanced AI model (GPT-4o or similar) which acts as a "thought leader" to generate two distinct, insightful LinkedIn posts based on the video's core themes. Finally, these generated posts are neatly organized and saved as new rows in a Google Sheet for easy review and scheduling.
channel_id and using the format: https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_ID_HERE.Video LinkThemeHookBodyCTAHashtags
Now in the n8n Google Sheets node, authenticate your account. Then select the spreadsheet you just prepared and the specific sheet name from the dropdown lists.To monitor a specific channel, you need its unique ID to create the RSS feed URL required in the first step. Here’s how to find it:
https://www.youtube.com/@CalebWritesCode).Ctrl+F (on Windows) or Cmd+F (on Mac) to open the search bar.<yt:channelId> and press Enter.<yt:channelId> tag.https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_ID_HERE.Disclaimer: This template uses a community node. It is recommended for users on self-hosted n8n instances.
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 | Transform YouTube videos to LinkedIn posts with Apify, GPT-4.1 Mini & Google Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Content Creation, Multimodal AI |
| Author | Ayesha Gull |
| Published | 08 Oct 2025 |
Use the JSON export at /data/workflows/9386/9386.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.
Transform YouTube videos to LinkedIn posts via Apify, GPT 4.1 Mini, and Google Sheets This workflow transforms new YouTube videos from any channel into ...
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.