Browser Automation Beyond Screenshots

Analyzing web elements with Playwright.

Beyond Simple Crawling

Most browser automation focuses on content extraction: get the text, download the files. But there’s value in understanding the structure itself.

The browser automation project started as a question: what if instead of just crawling a page, you could analyze it?

What Gets Analyzed

Interactive Elements

Not just “this page has a search box.” The analysis identifies:

• What type of element it is (button, input, link)
• What framework it’s using (React, Vue, vanilla)
• What event handlers are attached
• Whether it’s visible, enabled, or a footer element

Visual Structure

Browser Automation

An interactive elements analyzer using Playwright that crawls websites, identifies clickable elements, and generates visual reports with color-coded bounding boxes.

Features

• Full Page Screenshot Capture — Complete page screenshots for visual analysis
• Interactive Element Detection — Identifies:
  • Input fields (text, search, email, password)
  • Buttons (native and custom)
  • Links (anchor tags)
  • Custom elements with event listeners
• Event Listener Detection — Heuristically identifies React, Vue, and inline handlers
• Visual Reports — Color-coded bounding boxes:
  • Green: Input fields
  • Red: Buttons
  • Blue: Links
  • Orange: Generic interactive elements
• Structured Output — JSON and text reports with detailed element metadata

Technical Highlights

• Playwright for browser automation (Chromium)
• Pillow + NumPy for image processing and visualization
• JavaScript injection for DOM analysis
• Event listener heuristics for framework detection
• Python for all scripting

Tech Stack

Usage

# Default (YouTube)
python main.py

# Custom URL
python main.py https://example.com