How to Extract People Lists with TypeScript

Collecting high-quality lists of influential people, including their names, job titles, and companies, often requires painstaking manual research, copying, or unreliable scraping methods. Traditional scraping tools struggle with modern protections such as logins, Captchas, and OAuth authentication, leading to incomplete data and wasted developer effort.

Airtop’s Extract People Lists automation with TypeScript solves this challenge by reliably automating the extraction process through real browser sessions. Equipped with robust login support including OAuth, 2FA, and Captcha handling, Airtop seamlessly navigates protected sources. This automation delivers structured JSON output that integrates easily into CRM platforms, databases, and other tools—significantly streamlining workflow and improving data accuracy.

Who is this Automation for?

• Developers handling data scraping and integration

• Automation engineers streamlining data collection workflows

• Revenue Operations teams enriching CRM or database systems

• Technical analysts needing structured data of key influencers

Key Benefits

• Real browser sessions ensuring accurate extraction

• Robust login support (OAuth, 2FA, Captcha)

• Structured JSON output for hassle-free integration

• Automate reliable data extraction at scale

Use Cases

• Creating lead lists for targeted sales outreach

• Gathering speaker details from industry conference websites

• Extracting investor lists from VC network sites

• Building influencer databases from professional directories

Getting Started with the Extract People Lists Automation

Quickly begin structured data extraction using Airtop and TypeScript. Follow this guide to set up your automation within minutes.

How the Extract People Lists Automation Works

The automation runs real browser instances powered by Airtop, navigating targeted web pages while handling authentication via OAuth or traditional logins. Using TypeScript scripts, it accurately extracts structured lists of people, capturing names, company affiliations, and titles. Data is outputted directly into JSON, which developers can then feed standalone or automated into CRM systems, databases, or other data services.

What You'll Need

• An active Airtop account

• Node.js and TypeScript installed

• Source URLs for people lists

• Optional: Credentials for sites requiring login (OAuth, 2FA, regular login)

Setting Up the Automation

1. Log into Airtop and create a new automation instance called "Extract People Lists."

2. Configure your TypeScript environment, installing required libraries provided by Airtop.

3. Specify target URLs and login credentials (if applicable) in your TypeScript configuration file.

4. Deploy and execute your TypeScript automation, triggering Airtop’s browser engine to initiate extraction.

5. Review your structured JSON output and set up automated forwarding to your database or CRM.

Customize the Automation

You can easily tailor the Extract People Lists automation through Airtop's flexible TypeScript integration:

• Adjust the selectors to precisely target specific data points (e.g., LinkedIn profile URLs, email addresses).

• Add custom logic in TypeScript to automatically filter or segment leads by roles.

• Expand with additional URL sources to scale your people list databases.

• Integrate conditional logic to handle various forms of Captcha and multi-step authentications.

Automation Best Practices

• Regularly update script selectors as source site structures evolve.

• Clearly document all login credentials securely.

• Implement error handling in TypeScript for seamless extraction.

• Schedule recurring data extraction workflows to maintain up-to-date lists.