Convert LinkedIn post reactions into qualified leads with AI and Apify
Ready for 3.0What this workflow does
This AI workflow has 20 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Airtable. It also calls api.apify.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Scrape Post Reactions (HTTP Request): calls api.apify.com (POST)
- Wait: pauses before continuing
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Clean Data (Edit Fields (Set)): sets 4 fields: profile_urn, profile_name, profile_job_title…
- Check Duplication (Airtable): search
- If: checks a condition and branches into true / false
- Create New Record (Airtable): create
- Random Delay (Code): runs custom JavaScript code
- Random Delay Wait (Wait): pauses before continuing
- Enrich LinkedIn Profile (HTTP Request): calls api.apify.com (POST)
…plus 7 more steps. See the full node list below.
Services it uses
HTTP calls to: api.apify.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Manual Trigger
n8n-nodes-base.manualTrigger - Aggregate
n8n-nodes-base.aggregate - No Operation, do nothing
n8n-nodes-base.noOp - Airtable
n8n-nodes-base.airtable - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Wait
n8n-nodes-base.wait - Code
n8n-nodes-base.code - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - HTTP Request
n8n-nodes-base.httpRequest
From the author
🎯 LinkedIn ICP Lead Qualification Automation Automatically identify and qualify ideal customer prospects from LinkedIn post reactions using AI-powered profile analysis and intelligent data enrichment. Perfect for sales teams and marketing professionals who…