Block 1 - Get Comments from Posts
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
This workflow is provided as-is. Please review and test before using in production.
Short Description This LinkedIn automation workflow monitors post comments for specific trigger words and automatically sends direct messages with lead magnets to engaged users. The system checks c...
n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.if, n8n-nodes-base.filter, n8n-nodes-base.code, n8n-nodes-base.nocodb, n8n-nodes-base.splitinbatches, n8n-nodes-base.wait
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Alexandra Spalato.
Original n8n.io sourceThis LinkedIn automation workflow monitors post comments for specific trigger words and automatically sends direct messages with lead magnets to engaged users. The system checks connection status, handles non-connected users with connection requests, and prevents duplicate outreach by tracking all interactions in a database.
**Table: leads
linkedin_id: LinkedIn user IDname: User's full nameheadline: LinkedIn headlineurl: Profile URLdate: Interaction dateposts_id: Post referenceconnection_status: Network distancedm_status: Interaction type (sent/connection request)
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.
Showing the first 24 of 32 workflow blocks. Download the JSON for the full node graph.
| Workflow | LinkedIn lead generation: Auto DM system with comment triggers using Unipile & NocoDB |
|---|---|
| Complexity | advanced |
| Nodes | 32 |
| Categories | Lead Nurturing, Multimodal AI |
| Author | Alexandra Spalato |
| Published | 25 Aug 2025 |
Use the JSON export at /data/workflows/7844/7844.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.
Short Description This LinkedIn automation workflow monitors post comments for specific trigger words and automatically sends direct messages with lead magnets to engaged users. The system checks c...
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 Lead Nurturing, Multimodal AI use case.