How to Automate Finding Company Information with TypeScript

Keeping your CRM enriched with accurate and updated company information from Pitchbook manually can be tedious, time-consuming, and prone to errors. Developers often struggle with inefficient copy-pasting, unreliable scraping methods, and Pitchbook API constraints that limit comprehensive, structured data extraction.

This Airtop automation, using TypeScript, solves these challenges by leveraging real browser sessions for reliable data retrieval. It supports secure login methods, including OAuth, two-factor authentication (2FA), and Captcha solving, ensuring uninterrupted access. Accurate, structured data extraction enables smooth and automated enrichment of your CRM with updated Pitchbook data, streamlining marketing and sales processes effortlessly.

Who is this Automation for?

• Developers building CRM enrichments

• Automation Engineers integrating business data

• Revenue Operations professionals managing client databases

• Technical Marketing teams creating targeted campaigns

Key Benefits

• Real browser sessions for reliable Pitchbook data extraction

• Secure authenticated access (OAuth, Captcha, 2FA)

• Structured JSON output for easy integration

• Fully scriptable and customizable TypeScript automation

Use Cases

• Automatically enrich CRM records with accurate Pitchbook data

• Quickly validate company financial and funding details for due diligence

• Regularly update investor decks or competitor profiles

• Automate lead scoring with company attributes from Pitchbook

Getting Started with the Find company's information Automation

Set up and launch Airtop's TypeScript automation quickly to access current, detailed company information from Pitchbook.

How the Find company's information Automation Works

The Airtop automation written in TypeScript initiates real browser sessions to securely log into Pitchbook using supported authentication methods such as OAuth, 2FA, or Captcha. It then navigates through several Pitchbook pages and reliably extracts structured data including company headquarters, market cap, investments, competitive landscape, and recent funding rounds. The data is neatly structured in JSON format, ready for seamless integration and automated CRM updates through your predefined scripts or workflows.

What You'll Need

• An Airtop account

• Pitchbook account credentials (with relevant access rights)

• Node.js environment configured with TypeScript

• Your preferred CRM or target database for storing extracted data

Setting Up the Automation

1. Create or log into your Airtop account and navigate to your automation workspace.

2. Select the "Find company's information" Automation template.

3. Provide your Pitchbook credentials and configure secure authentication (OAuth, 2FA, Captcha).

4. Install the necessary Airtop TypeScript SDK dependencies in your environment.

5. Run your automation to begin extracting structured company information directly into your CRM or specified storage.

Customize the Automation

Tailor your Pitchbook data extraction and enrichment automation easily using Airtop and TypeScript:

• Extract additional custom data fields like executive team, revenue growth, or market segment.

• Implement conditional logic to fetch company profiles based on defined criteria, such as funding stage or industry.

• Schedule automated data extractions daily, weekly, or monthly according to your CRM data latency needs.

• Integrate error handling and notifications in TypeScript, to trigger alerts if authentication or extraction issues occur.

Automation Best Practices

• Regularly review your authentication settings to ensure uninterrupted access.

• Use structured JSON data schemas for easier downstream integration.

• Implement robust error-handling and logging in your TypeScript scripts.

• Optimize scheduling to balance freshness of data with API or website usage limits.