How to Qualify ICP Prospects on LinkedIn with TypeScript

Manually evaluating prospects to identify ideal customer profiles (ICP) on LinkedIn can be tedious, inconsistent, and challenging to scale. Traditional manual assessment involves individually checking profiles for essential ICP characteristics, often resulting in inaccurate prioritization, wasted outreach efforts, and lost opportunities.

The Airtop ICP Qualification automation using TypeScript streamlines and simplifies this critical sales process. By leveraging real browser sessions, this solution ensures reliable LinkedIn access, whether authentication requires OAuth connections or handling advanced login challenges like 2FA and Captcha. The automation retrieves structured profile data and scores each prospect from 1 to 10 based on predefined ICP criteria, accelerating your sales pipeline and aligning outreach precisely to your business objectives.

Who is this Automation for?

• Sales Development Representatives (SDRs)

• Sales Operations Teams

• Revenue Operations Engineers

• Technical Growth Marketers

Key Benefits

• Accurate prospect scoring through customizable ICP parameters

• Real browser interactions for seamless LinkedIn scraping

• Authenticated access (OAuth, 2FA, Captcha support)

• Structured, easily-consumable JSON output for automation integration

Use Cases

• Rapid prioritization of leads after events like webinars and conferences

• Automated scoring of high-volume inbound LinkedIn prospects

• Identifying top-tier candidates for account-based marketing (ABM)

• Continuous monitoring of ICP alignment as LinkedIn profiles update over time

Getting Started with the ICP qualification using LinkedIn Automation

Quickly and effectively set up the ICP qualification automation to start accurately scoring LinkedIn profiles, focusing your team's efforts on the most promising leads.

How the ICP qualification using LinkedIn Automation Works

This automation initiates an authenticated, real browser session using Airtop to securely access LinkedIn profiles. Custom TypeScript scripts then extract relevant structured data, such as job titles, seniority, industry sectors, company size, geographic region, and recent profile updates. Users define scoring criteria aligned with their Ideal Customer Profile, enabling the automation to objectively evaluate and assign a numerical ICP score (ranging from 1–10) for each prospect. Results are outputted as JSON, ready for easy integration into CRM systems, spreadsheets, or your existing sales tools for actionable lead prioritization.

What You'll Need

• Airtop account and project setup

• Node.js with TypeScript environment configured

• Valid LinkedIn credentials with necessary profile permissions

• Defined ICP scoring criteria aligned with your sales objectives

Setting Up the Automation

1. Log into your Airtop account and create a new TypeScript automation project.

2. Provide LinkedIn login credentials and authenticate using Airtop's robust login features (OAuth, 2FA, Captcha).

3. Define your ICP scoring rules clearly within the TypeScript configuration file.

4. Run initial test executions to validate structured data extraction correctness and ICP score calculations.

5. Schedule automated runs to continuously evaluate and qualify incoming LinkedIn prospects.

Customize the Automation

Airtop combined with TypeScript offers flexibility to adapt ICP qualification automation uniquely to your needs. Consider customizing for:

• Detailed scoring rules, weighting particular criteria differently, such as seniority, industry fit, or geographic location.

• Intelligent data extraction for targeted information (e.g., recent job changes, certifications).

• Output formats (CSV, Google Sheets, or direct CRM integrations).

• Automated enrichment capabilities by integrating scoring results with enrichment APIs or third-party services.

Automation Best Practices

• Regularly review and update ICP criteria to keep automation aligned with sales strategy.

• Set up error handling and logging in TypeScript to troubleshoot quickly.

• Use Airtop browser sessions optimally to mimic natural browsing patterns, minimizing any scraping risks.

• Clearly comment TypeScript code and maintain documentation for effortless collaboration or future adjustments.