Skip to main content
By the end of this guide, you’ll be able to capture screenshots of current mortgage rates and analyze them with vision capabilities. You’ll learn how to:
  1. Capture real-time mortgage data using Browserbase’s headless browser automation.
  2. Analyze visual data with IBM watsonx.ai’s vision language models to extract meaningful information.
This integration is useful for:
  • Accessing data embedded within iframes that’s difficult to extract with traditional methods
  • Automating financial data collection from websites without structured APIs
  • Converting visual mortgage rate data into structured information
  • Building financial monitoring tools that track rate changes over time

​
Prerequisites

Before you start, make sure you have: Note: This guide is only available in Python

​
Why screenshots?

Traditional data extraction methods often fail when dealing with:
  • Content embedded within iframes (like the Freddie Mac mortgage rates)
  • Data rendered by JavaScript after page load
  • Complex interactive visualizations
  • Protected or bot-blocked content
Browserbase captures full screenshots of rendered pages, and IBM watsonx.ai interprets the visual content — letting you extract information that’s otherwise inaccessible through HTML parsing or API calls.

​
Quickstart guides

Follow the guide

Follow the quickstart guide to capture mortgage rates and analyze them with IBM Watson’s visual language models.

Enterprise

Explore enterprise solutions for large-scale financial data monitoring with Browserbase and IBM Watson.