n8n LinkedIn Safe Outreach
Low-volume, human-paced LinkedIn connection requests from n8n: decision-maker filtering, rotating notes, randomised delays and a full audit log.
Source repositories
n8n workflows
Each diagram is drawn from the workflow’s own JSON. Download a file and import it in n8n (Workflows → Import from file), then attach your own credentials — every credential and instance ID has been removed.
LinkedIn Safe Outreach - Main
13 nodes · 13 connections
Download JSON
LinkedIn Safe Outreach - Main
13 nodes · 13 connections
- Trigger
- Code
- Logic
- HTTP
- Database
LinkedIn Lead Discovery
12 nodes · 12 connections
Download JSON
LinkedIn Lead Discovery
12 nodes · 12 connections
- Trigger
- Code
- Logic
- HTTP
- Database
LinkedIn Safe Outreach - Error Handler
3 nodes · 2 connections
Download JSON
LinkedIn Safe Outreach - Error Handler
3 nodes · 2 connections
- Trigger
- Code
- HTTP
Project overview
Built for founders who want real conversations on LinkedIn without tripping its anti-spam systems. A prospect list posted to a webhook is filtered to decision-makers, each gets a short rotated note, requests go out one at a time with 60–180 second gaps, and every outcome is logged to Postgres. A companion workflow discovers new leads.
What I built
- 01
Webhook accepts a JSON prospect list and filters it to founders, owners, directors and heads of department.
- 02
Notes rotate between four templates filled with name and company.
- 03
Randomised 60–180 second waits and a per-run cap keep volume human.
- 04
Every send is logged with profile, template, HTTP status and failure reason.
Implementation notes
Quality over volume: 10–20 personal touches a day keep the account healthy and outperform bulk tools on replies.
Replies stay manual in LinkedIn; the workflow never auto-messages.
Technology stack
- n8n
- PostgreSQL
- JavaScript
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