Block 1 - Google Sheets Export
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow helps you turn your best performing LinkedIn posts into a repeatable content creation system. It pulls LinkedIn post data from Apify, normalizes and ranks the posts by impressions, id...
n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.manualtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jonas Frewert.
Original n8n.io sourceThis workflow helps you turn your best-performing LinkedIn posts into a repeatable content creation system. It pulls LinkedIn post data from Apify, normalizes and ranks the posts by impressions, identifies the strongest-performing content, and sends the top posts to OpenAI for pattern analysis. Based on those insights, it generates 7 new LinkedIn post ideas, then saves both the insights and generated posts to Google Sheets for easy review and planning.
It is ideal for founders, creators, consultants, marketers, and social media teams who want to use real LinkedIn performance data to guide new content creation with a faster and more structured workflow.
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 | Analyze LinkedIn top posts with Apify and OpenAI and log 7 ideas to Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Content Creation, Multimodal AI |
| Author | Jonas Frewert |
| Published | 06 Apr 2026 |
Use the JSON export at /data/workflows/14778/14778.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 helps you turn your best performing LinkedIn posts into a repeatable content creation system. It pulls LinkedIn post data from Apify, normalizes and ranks the posts by impressions, id...
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.