Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
This workflow automates LinkedIn posts using OpenAI. The prompts are stored in the workflow and can be customized as needed to fit your needs. The workflow uses a combination of a Schedule Trigger,...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.if, n8n-nodes-base.telegram, n8n-nodes-base.manualtrigger, n8n-nodes-base.linkedin
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Chad McGreanor.
Original n8n.io sourceThis workflow automates LinkedIn posts using OpenAI. The prompts are stored in the workflow and can be customized as needed to fit your needs. The workflow uses a combination of a Schedule Trigger, some code that determines what day of the week it is (no posting Friday - Sunday), a prompts node to set your OpenAI prompts, a random selection of a prompt so that you are not generating content that looks repetitive. We send that all to OpenAI API, select a random time, have the final LinkedIn post sent to your Telegram for approval, once approved wait for the correct time slot, and then Post to your LinkedIn account using the LinkedIn node.
Run or schedule the workflow in n8n The automation can be triggered manually or on a custom schedule (excluding weekends if needed).
You should customize the prompts in the Prompt Node to suit your needs.
A random LinkedIn post prompt is selected Pre-written prompts are rotated to keep content fresh and non-repetitive.
OpenAI generates the LinkedIn post The prompt is sent to OpenAI via API, and the result is returned in clean, ready-to-use form.
You receive the draft via Telegram. The post is sent to Telegram for quick approval or review.
Post is scheduled or published via the LinkedIn Connector
Once approved, the workflow delays until the target time, then sends the content to LinkedIn.
An OpenAPI API key, LinkedIn Account, and a Telegram Account.
Step-by-Step: Telegram Approval for Your Workflow A. Set Up a Telegram Bot 1. Open Telegram and search for “@BotFather”. 2. Start a chat and type /newbot to create a bot. 3. Give your bot a name and a unique username (e.g., YourApprovalBot). 4. Copy the API token that BotFather gives you.
B. Add Your Bot to a Private Chat (with You)
C. Get Your User ID
https://platform.openai.com/.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 | Schedule LinkedIn posts with AI content generation and Telegram approval |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Social Media, Multimodal AI |
| Author | Chad McGreanor |
| Published | 25 Jul 2025 |
Use the JSON export at /data/workflows/6451/6451.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.
This workflow automates LinkedIn posts using OpenAI. The prompts are stored in the workflow and can be customized as needed to fit your needs. The workflow uses a combination of a Schedule Trigger,...
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.