n8n + LinkedIn = your most powerful growth hack yet

n8n turns every “like” into a potential client

2 min read

Hey,

Every time someone likes your post on LinkedIn, they’re raising their hand.

Not random.
Not passive.

That’s a warm lead.
And most people just... scroll past them.

So I built something that doesn’t.

THE OLD PAINFUL WAY

If you wanted to use your LinkedIn post engagement to get clients you would need to:

Open LinkedIn.
Skim every like and “Great insights 🙌.”
Copy-paste names into a spreadsheet.
Hunt down emails.
Guess who’s even worth writing to.
Spend 30 minutes on a “personal” DM that sounds like…well, everyone else’s.
Rinse, repeat, question your life choices.

Hours gone.
Energy gone.
Leads? Maybe.

ENTER: THE ONE-CLICK LOOP

I stitched this together in n8n to make this process easy.

  • Apify quietly scrapes every like + comment the second it happens.

  • Airtable stores the data so I can actually see what’s going on.

  • Hunter grabs verified emails (no more “info@company” black holes).

  • A tiny AI brain ranks who’s a fit and who’s a time-sink.

  • Another prompt crafts a personal email that sounds like…well, me.

The whole thing fires while I’m making coffee.

By the time I sit down, a list of personalised messages ready to be sent to pre-warmed prospects wait in my Gmail draft inbox.

WHY THIS HITS DIFFERENT

These folks already raised their hand.
They liked your post.
They trust you more than some cold stranger.

So conversions jump.
Reply rates jump.
Your inbox is flooded with positive responses.

LEVERAGE FOR THE LITTLE GUY

I’m a team of one.
Yet this flow works like a 5-person SDR pod that never asks for paid time off.

It cuts the boring parts (data entry, guesswork) and doubles down on the fun part: real conversations.

Time saved and money made.
That’s the holy grail.

Check out how to use this yourself with the video below:

CURIOUS QUESTION FOR YOU

If you could hand the grunt work to a silent robot and spend your day actually talking to humans—would you?

Hit reply and tell me.
I read every note.

Talk soon,
Omar

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