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Score LinkedIn profiles against your ICP with Airtop

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Scoring LinkedIn Profiles Against Your ICP Use Case This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and senio...

Best for

  • Lead Generation automation workflows
  • AI Summarization automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.airtop, n8n-nodes-base.formtrigger, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.set, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Airtop.

Original n8n.io source

1.1 Workflow description

Title
Score LinkedIn profiles against your ICP with Airtop
Workflow name
Score LinkedIn profiles against your ICP with Airtop

Scoring LinkedIn Profiles Against Your ICP

Use Case

This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and seniority level. It's ideal for prioritizing leads and understanding how well a person fits your ICP criteria.

What This Automation Does

Given a LinkedIn profile and an Airtop profile, it:

  • Extracts relevant data from the person's profile
  • Determines levels of AI interest, seniority, and technical depth
  • Calculates an ICP score based on weighted criteria
  • Returns the full enriched profile with the score

Input parameters:

  • LinkedIn Profile URL (e.g., https://linkedin.com/in/janedoe)
  • Airtop Profile connected to LinkedIn
  • ICP scoring method in the Airtop node prompt

Output fields in JSON format:

  • Full name, job title, employer, company LinkedIn URL, location, number of connections and followers, about section content and more
  • Calculated ICP Score (out of 100)

How It Works

  1. Form Trigger or Workflow Trigger: Accepts input from either a form or another workflow.
  2. Parameter Assignment: Ensures proper variable names for downstream nodes.
  3. Airtop Enrichment Tool: Extracts and scores the person based on a detailed prompt.
  4. Scoring: Uses this point system:
    • AI Interest: beginner (5), intermediate (10), advanced (25), expert (35)
    • Technical Depth: basic (5), intermediate (15), advanced (25), expert (35)
    • Seniority Level: junior (5), mid-level (15), senior (25), executive (30)
  5. Output Formatting: Cleans and returns the result as JSON.

Setup Requirements

  1. IMPORTANT: Enter your ICP scoring method in the prompt field of the Airtop node
  2. Airtop Profile connected to LinkedIn.
  3. Airtop API credentials configured in n8n.
  4. Optional: a front-end form to collect profile URLs and trigger the automation.

Next Steps

  • Embed in CRM: Trigger this automation on new leads to auto-score them.
  • Batch Process Leads: Run it over a list of profile URLs for segmentation.
  • Customize Scoring: Adjust point weights based on your sales priorities.

Read more about Scoring LinkedIn Profiles Against Your ICP

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Calculate ICP PersonScoring

Type / Role
n8n-nodes-base.airtop - airtop
Config choices
Version 1

Block 2 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 3 - When Executed by Another Workflow

Type / Role
n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices
Version 1.1

Block 4 - Parameters

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 5 - Edit Fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 6 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Score LinkedIn profiles against your ICP with Airtop
Complexity intermediate
Nodes 8
Categories Lead Generation, AI Summarization
Author Airtop
Published 18 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4205/4205.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Score LinkedIn profiles against your ICP with Airtop do?

Scoring LinkedIn Profiles Against Your ICP Use Case This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and senio...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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 Generation, AI Summarization use case.