How to Lookup a LinkedIn Profile with TypeScript

Manually finding and verifying LinkedIn profiles for networking, recruitment, and direct outreach can be tedious, error-prone, and inefficient. Developers and technical teams often face API limitations, unreliable scraping methods, and strict security measures such as OAuth, 2FA, and Captcha that complicate automated data extraction.

This Airtop automation uses TypeScript alongside real browser sessions to reliably identify and retrieve LinkedIn profile URLs. It effortlessly handles authenticated scenarios including OAuth logins and Captchas, ensures structured JSON output for streamlined development integration, and significantly decreases manual overhead.

Who is this Automation for?

• Recruiters

• Sales Development Representatives (SDRs)

• Automation Engineers

• Developers

Key Benefits

• Real browser session handling

• OAuth, Captcha, and 2FA support

• Structured JSON output

• Scalable TypeScript integration for developers

Use Cases

• Accelerating candidate sourcing for technical recruiters

• Automating LinkedIn research for SDRs

• Enhancing CRM database enrichment with accurate LinkedIn data

• Automating outreach and contact verification workflows

Getting Started with the Lookup a LinkedIn Profile Automation

Easily integrate Airtop with TypeScript to automate LinkedIn profile lookups and streamline your outreach workflows.

How the Lookup a LinkedIn Profile Automation Works

This automation leverages Airtop's robust browser automation capabilities controlled through TypeScript to emulate real user behavior. It securely logs into LinkedIn—including OAuth and Captcha handling—inputs user-defined search parameters (such as full name, employer, or job title), extracts accurate profile URLs, and then seamlessly exports structured JSON data ready for immediate integration into existing tools or databases.

What You'll Need

• An Airtop account

• TypeScript environment configured (Node.js and npm)

• Valid LinkedIn credentials

• Optional: Proxy service (for scale and anonymity)

Setting Up the Automation

1. Install Airtop TypeScript SDK via npm.

2. Authenticate Airtop with your LinkedIn credentials within your TypeScript configuration.

3. Define your LinkedIn search parameters (name, job title, etc.).

4. Execute the automation script to start retrieving LinkedIn profile URLs.

5. Export the structured JSON output to your preferred data store or application.

Customize the Automation

Extend and adapt the Lookup a LinkedIn Profile automation to fit your precise workflows using Airtop and TypeScript. Possible customization includes:

• Integrate additional data extraction from LinkedIn like current job positions or educational background.

• Automate sending connection requests post-lookup using TypeScript scripting.

• Filter and prioritize profile results based on relevance or activity.

• Trigger custom alerts or notifications when specific profile criteria are met.

Automation Best Practices

• Regularly rotate proxies/IP addresses for large batch lookups.

• Test on smaller datasets before scaling up your automation.

• Avoid overly aggressive automation rates to align with LinkedIn's usage policies.

• Periodically monitor and update selectors used in scraping to adapt to any changes in LinkedIn's page structure.