Block 1 - Weekly Schedule
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Who's it for This workflow is ideal for content creators, marketers, and business professionals who want to automatically repurpose their LinkedIn content into email newsletters. If you're actively...
n8n-nodes-base.scheduletrigger, @apify/n8n-nodes-apify.apify, n8n-nodes-base.limit, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.gmail, n8n-nodes-base.stickynote, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by RJ Nelson.
Original n8n.io sourceThis workflow is ideal for content creators, marketers, and business professionals who want to automatically repurpose their LinkedIn content into email newsletters. If you're actively posting on LinkedIn and want to maximize your content's reach by delivering it directly to your email subscribers, this automation saves you hours of manual work each week.
This workflow automatically transforms your latest LinkedIn posts into professionally formatted email newsletters. It monitors your LinkedIn profile, extracts your most recent post, and intelligently converts it into engaging newsletter content with proper HTML formatting. The final newsletter is then delivered directly to your target email inbox, ready to be reviewed and sent to your subscribers.
The workflow operates through four key stages:
Content Extraction: Uses an Apify actor node to scrape all posts from your specified LinkedIn account
Latest Post Filter: Automatically identifies and isolates your most recent LinkedIn post from the scraped data
AI Transformation: Leverages OpenAI to convert the LinkedIn post into newsletter-style content with improved formatting and structure
Email Delivery: Applies email-friendly HTML formatting and sends the polished newsletter to your designated email inbox
To use this workflow, you'll need:
Configure Apify: Add your Apify API credentials and specify the LinkedIn profile URL you want to monitor
Connect OpenAI: Insert your OpenAI API key in the AI transformation node
Set up Gmail: Authenticate your Gmail account and specify the recipient email address
Customize prompts: Adjust the OpenAI prompts to match your newsletter's tone and style
Test the workflow: Run manually first to ensure all connections work properly
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 | Automate LinkedIn posts to email newsletter with Apify and GPT-4 |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Social Media, Multimodal AI |
| Author | RJ Nelson |
| Published | 08 Oct 2025 |
Use the JSON export at /data/workflows/9387/9387.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.
Who's it for This workflow is ideal for content creators, marketers, and business professionals who want to automatically repurpose their LinkedIn content into email newsletters. If you're actively...
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 Social Media, Multimodal AI use case.