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Documentation Index

Fetch the complete documentation index at: https://docs.browserbase.com/llms.txt

Use this file to discover all available pages before exploring further.

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

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Prerequisites

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

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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.

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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.