Block 1 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Build a completely automated LinkedIn content engine using n8n, OpenAI, Google Sheets, and the LinkedIn API. This workflow reads unpublished topics from a Google Sheet, generates engaging AI powere...
@n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.merge, n8n-nodes-base.linkedin, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.lmchatopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Muhammad Qaisar Mehmood.
Original n8n.io sourceBuild a completely automated LinkedIn content engine using n8n, OpenAI, Google Sheets, and the LinkedIn API. This workflow reads unpublished topics from a Google Sheet, generates engaging AI-powered post content and a relevant image, and publishes directly to LinkedIn — no manual effort required.
1.A Google Sheet with two columns: Topics and Status 2.A verified LinkedIn developer account and app 3.OpenAI API key 4.n8n cloud or self-hosted instance 5.LinkedIn OAuth2 credentials in n8n 6.Google Sheets OAuth2 credentials in n8n
| Topics | Status |
|---|---|
| How to Automate LinkedIn | Unpublished |
| Top AI Tools for Marketers | Unpublished |
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 content creation with OpenAI, Google Sheets & LinkedIn API |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Social Media, Multimodal AI |
| Author | Muhammad Qaisar Mehmood |
| Published | 19 Jul 2025 |
Use the JSON export at /data/workflows/6182/6182.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.
Build a completely automated LinkedIn content engine using n8n, OpenAI, Google Sheets, and the LinkedIn API. This workflow reads unpublished topics from a Google Sheet, generates engaging AI powere...
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.