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Automate LinkedIn comment replies with GPT-3.5 & track in Google Sheets

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Automate LinkedIn comment replies with GPT-3.5 & track in Google Sheets preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How it works This workflow automates LinkedIn community engagement by monitoring post comments, filtering new ones, generating AI powered replies, and posting responses directly on LinkedIn. It als...

Best for

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

Tools used

n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Automate LinkedIn comment replies with GPT-3.5 & track in Google Sheets
Workflow name
Automate LinkedIn comment replies with GPT-3.5 & track in Google Sheets

How it works

This workflow automates LinkedIn community engagement by monitoring post comments, filtering new ones, generating AI-powered replies, and posting responses directly on LinkedIn. It also logs all interactions into Google Sheets for tracking and analytics.

Step-by-step

Trigger & Fetch

  • A Schedule Trigger runs the workflow every 10 minutes.

  • The workflow fetches the latest comments on a specific LinkedIn post using LinkedIn’s API with token-based authentication.

Filter for New Comments

  • Retrieves the timestamp of the last processed comment from Google Sheets.

  • Filters out previously handled comments, ensuring only fresh interactions are processed.

AI-Powered Reply Generation

  • Sends the new comment to OpenAI GPT-3.5 Turbo with a structured prompt.

  • AI generates a professional, concise, and engaging LinkedIn-appropriate reply (max 2–3 sentences).

Post Back to LinkedIn

  • Automatically posts the AI-generated reply under the original comment thread.

  • Maintains consistent formatting and actor identity.

Data Logging

  • Appends the original comment, AI response, and metadata into Google Sheets.

  • Enables tracking, review, and future engagement analysis.

Benefits

  • Saves time by automating LinkedIn comment replies.

  • Ensures responses are timely, professional, and on-brand.

  • Maintains authentic engagement without manual effort.

  • Prevents duplicate replies by filtering with timestamps.

  • Creates a structured log in Google Sheets for auditing and analytics.

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 - 📥 Fetch LinkedIn Comments

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.1

Block 2 - 📊 Set Last Timestamp

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.3

Block 3 - 🔍 Filter New Comments

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

Block 4 - 🤖 Generate AI Reply

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1

Block 5 - 💬 Post LinkedIn Reply

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.1

Block 6 - 📋 Workflow Notes2

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

Block 7 - ⏰ Runs Every 10 Mins

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 8 - Sticky Note

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

Block 9 - Sticky Note1

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

Block 10 - Sticky Note2

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

Block 11 - Sticky Note3

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

Block 12 - 📊 Get Last Comment Timestamp

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

Block 13 - 💾 Store Comment Data

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.4

3. Summary Table

Workflow Automate LinkedIn comment replies with GPT-3.5 & track in Google Sheets
Complexity intermediate
Nodes 13
Categories Multimodal AI
Author Avkash Kakdiya
Published 25 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7806/7806.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 Automate LinkedIn comment replies with GPT-3.5 & track in Google Sheets do?

How it works This workflow automates LinkedIn community engagement by monitoring post comments, filtering new ones, generating AI powered replies, and posting responses directly on LinkedIn. It als...

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 Multimodal AI use case.