Block 1 - 📥 Fetch LinkedIn Comments
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.1
This workflow is provided as-is. Please review and test before using in production.
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...
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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Avkash Kakdiya.
Original n8n.io sourceThis 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.
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.
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.
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 comment replies with GPT-3.5 & track in Google Sheets |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Multimodal AI |
| Author | Avkash Kakdiya |
| Published | 25 Aug 2025 |
Use the JSON export at /data/workflows/7806/7806.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.
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...
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 Multimodal AI use case.