Intro · 3:55
Introduction and demo
LinkedIn outreach in n8n.
- Build your own LinkedIn outreach system in n8n.
- Demo of the result.
- For agencies and founders.
| Component | Role |
|---|---|
| n8n | Orchestration |
| Channel |
Do this in your own tools, step by step. Ticks are saved on this device.
Platform?
n8n.
Channel?
LinkedIn.
0:00 hey everybody today I'm going to show you how to build your very own LinkedIn Outreach system in naden this video is perfect for anybody that wants to automate their LinkedIn Outreach with a system that creates a targeted lead list in Apollo using just natural language enriches those leads with detailed profile data uses AI to generate personalized messages sends connection requests and follow-up safely and tracks the entire campaign within a Google sheet my name is Nick I've made over a million dollars with AI and automation so today I'm going to walk you through building this entire system step by step let's get into it okay so here's a demo of the system from start to finish we start with a form that I fill out which I'll show you in a second that form basically asks for us to define the search parameters in natural language so I am going to get to say I'm looking for Creative agencies between one and a th people that are in
0:45 the United States and it will actually create an Apollo search URL for me completely autonomously we're then going to generate a search URL here then run an apify actor um I'm setting a limit node here for those of you that don't know limit node is just sort of a testing node allows me to set lower so I don't overwhelm an API we're then doing a personalization step right over here um then I'm adding this to a Google sheet database you can find this Google sheet database um right over here this Google sheet database is very simple we're just logging the ID of the LinkedIn account the first name the last name the full name sometimes I like to have that LinkedIn URL the title the email status the photo URL and then the Icebreaker then finally we are aggregating all of that data so that I could send an API call to a tool called Phantom Buster and I'm going to cover
1:29 all the stuff in a second but for now let me just show you guys what this looks like in practice and what the end result is I'm going to test workflow it's going to ask me to Define my audience type in plain English so I'm going to say um I'm looking for Creative agencies around one to um let's say 100 people staff across the United States I want the decision makers so come up with a bunch then I'm going to click submit now that I've done this what's happening is it's going through and it's generating a search URL now the r that this works is the service that I'm using basically takes as input a giant search string and so I'm having AI generate the search string the search string is ultimately what is going to allow us to do said search that looks just like this I'm going to copy this over if I paste this in um what this will do is it'll actually go through and then get decision makers that are within my custom audience in my case 996 people across the United States if we proceed with this it will then um run uh what's called an appify actor it's a service that we're going to be using to scrape this group of people that appify actor I can find back over
2:45 here what this is doing is it's going and it's identifying who these people are it's extracting their email addresses completely autonomously and then it's also getting me a bunch of additional data on them okay after we're done with that we then pass through a limit node we have an A a model here gp4 that actually goes and creates customized ice breakers for the connection requests and then what we do is we'll actually dump that into a Google sheet before aggregating that and then triggering a phantom Buster age and Phantom Buster is the tool that we're going to be using to grab the data from this Google sheet right over here then actually physically produce our LinkedIn connection request over here okay and what that looks like on um their end is we are now running this Phantom Buster Auto Icebreaker connect and it's actually going going through and it's simulating real human activity in order to send the message essentially and the connection request finally as this proceeds down the list we will have the actual data right over here alongside the specific status whether or not this has been sent um and so we have actually gone through and we've sent a bunch of connection requests at various times of the day to these various people using the system and it was all done 100%
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