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Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets

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Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets preview
Open on n8n.io

1. Workflow Overview

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...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.manualtrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jonas Frewert.

Original n8n.io source

1.1 Workflow description

Title
Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets
Workflow name
Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets

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, 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.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Google Sheets Export

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Analysis and Generation

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Collection and Ranking

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Input and Validation

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Overview

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Append Rows to Google Sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 7 - Prepare Google Sheets Rows

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 8 - Parse OpenAI Output

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 9 - OpenAI Analyze + Generate

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 10 - Normalize + Rank LinkedIn Posts

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 11 - Apify Get LinkedIn Posts

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 12 - Validate Config + Build Actor Input

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 13 - Set Config

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 14 - Manual Trigger

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

3. Summary Table

Workflow Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets
Complexity intermediate
Nodes 14
Categories Content Creation, Multimodal AI
Author Jonas Frewert
Published 04 Apr 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14710/14710.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Generate 7 new LinkedIn posts from top Apify posts using OpenAI and save to Google Sheets do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.