ux-journey-scraper 0.1.0

Record and analyze user journeys with automated UX guidelines validation

UX Journey Scraper

Record and analyze user journeys with automated UX guidelines validation.

A powerful tool for UX designers, developers, and QA teams to capture user flows through websites and analyze them against 324+ research-backed UX guidelines.

🎯 What It Does

• Record User Journeys: Capture multi-step user flows through websites
• Screenshot Every Step: Visual documentation of each journey step
• UX Analysis: Automatically apply 324+ e-commerce UX guidelines
• Accessibility Checks: WCAG 2.1 compliance validation
• Privacy-Aware: Blur PII in screenshots automatically
• Interactive Reports: HTML reports with annotated screenshots

🚀 Installation

Installation from Source (Recommended)

⚠️ Note: Package is not yet published to PyPI. Install from source:

# Clone the repository
git clone https://github.com/resabh/ux-journey-scraper.git
cd ux-journey-scraper

# Install in editable mode
pip install -e .

# OR install with full UX guidelines support
pip install -e ".[full]"

Future PyPI Installation (Coming Soon)

Once published to PyPI, you'll be able to install with:

# Basic (not yet available)
pip install ux-journey-scraper

# Full (not yet available)
pip install ux-journey-scraper[full]

Note: The [full] option requires ecommerce-ux-guidelines package. Without it, the tool still works but with limited UX analysis capabilities.

Post-Installation

After installation, install Playwright browsers:

playwright install chromium

📖 Quick Start

Record a Journey

# Start recording a user journey
ux-journey record \
  --start-url https://example.com \
  --output my-journey.json

# The tool will:
# 1. Check robots.txt (asks for confirmation if needed)
# 2. Open browser
# 3. Record each page you visit
# 4. Capture screenshots
# 5. Save journey data

Analyze the Journey

# Analyze recorded journey against UX guidelines
ux-journey analyze my-journey.json

# Generates:
# - my-journey-report.html (interactive report)
# - my-journey-analysis.json (detailed analysis)
# - screenshots/ (annotated images)

One Command (Record + Analyze)

ux-journey run \
  --start-url https://example.com/checkout \
  --analyze \
  --output checkout-journey

💡 Use Cases

1. Competitor Analysis

Analyze competitor websites to understand UX patterns and identify opportunities.

ux-journey record --start-url https://competitor.com

2. UX Audit

Perform comprehensive UX audits on existing websites.

ux-journey run \
  --start-url https://mysite.com \
  --analyze \
  --output audit-results

3. Pre-Launch Review

Validate new features before launch.

ux-journey record \
  --start-url https://staging.mysite.com/new-feature \
  --analyze

4. User Flow Documentation

Document user flows with screenshots and UX validation.

ux-journey run \
  --start-url https://mysite.com/signup \
  --output user-onboarding

🛠️ Features

Journey Recording

• ✅ Multi-step journey capture
• ✅ Automatic screenshot on each navigation
• ✅ HTML structure extraction
• ✅ Form field detection
• ✅ CTA and button analysis
• ✅ Navigation element capture

UX Analysis

• ✅ 324+ e-commerce UX guidelines
• ✅ Page-specific validation (checkout, product, etc.)
• ✅ Priority-based issues (critical, major, minor)
• ✅ Actionable fix suggestions
• ✅ Guideline citations

Accessibility

• ✅ WCAG 2.1 Level A/AA validation
• ✅ Color contrast analysis
• ✅ Keyboard navigation checks
• ✅ Screen reader compatibility
• ✅ ARIA attributes validation

Privacy & Security

• ✅ PII blur in screenshots (emails, credit cards, names)
• ✅ robots.txt respect (with user confirmation)
• ✅ Rate limiting
• ✅ No data collection or tracking

Reports

• ✅ Interactive HTML reports
• ✅ Annotated screenshots with issue markers
• ✅ JSON export for automation
• ✅ Journey flow visualization
• ✅ Issue summaries and scores

📋 CLI Reference

ux-journey record

Record a user journey interactively.

ux-journey record [OPTIONS]

Options:
  --start-url TEXT         Starting URL (required)
  --output TEXT            Output file path (default: journey.json)
  --viewport TEXT          Viewport size (default: 1920x1080)
  --blur-pii               Blur PII in screenshots (default: true)
  --respect-robots         Check robots.txt (default: true)
  --headless              Run in headless mode (default: false)

ux-journey analyze

Analyze a recorded journey.

ux-journey analyze [OPTIONS] JOURNEY_FILE

Options:
  --output-dir TEXT        Output directory for reports (default: ./reports)
  --format TEXT            Report format: html, json, or both (default: both)
  --guidelines TEXT        Guideline priority: all, essential, high (default: all)

ux-journey run

Record and analyze in one command.

ux-journey run [OPTIONS]

Options:
  --start-url TEXT         Starting URL (required)
  --output TEXT            Output prefix (default: journey)
  --analyze               Run analysis after recording (default: true)
  --viewport TEXT         Viewport size (default: 1920x1080)

🔧 Python API

from ux_journey_scraper import JourneyRecorder, UXAnalyzer

# Record a journey
recorder = JourneyRecorder(
    start_url="https://example.com",
    blur_pii=True,
    respect_robots=True
)

journey = await recorder.record()
journey.save("my-journey.json")

# Analyze the journey
analyzer = UXAnalyzer()
results = analyzer.analyze(journey)

# Generate report
results.generate_html_report("report.html")
results.generate_json_report("report.json")

# Access violations
for step in results.steps:
    print(f"Step {step.number}: {step.url}")
    print(f"  Issues: {len(step.violations)}")
    for violation in step.violations:
        print(f"    - {violation.title} (Guideline #{violation.guideline_id})")

📊 Sample Report Output

Journey Analysis Report
=======================

Journey: Checkout Flow (https://example.com)
Steps: 5
Overall Score: 72.5/100

Step 1: Homepage (/)
  Score: 85.0/100
  Issues: 3 (1 major, 2 minor)
  Screenshot: screenshots/step-001.png

Step 2: Product Listing (/products)
  Score: 78.0/100
  Issues: 5 (2 major, 3 minor)
  Screenshot: screenshots/step-002.png

Step 3: Product Detail (/products/123)
  Score: 65.0/100
  Issues: 8 (1 critical, 3 major, 4 minor)
  Screenshot: screenshots/step-003.png
  ⚠️  Critical Issue: "Add to Cart" button too small (< 44x44px)
      → Guideline #237: Touch targets must be at least 44x44px

...

🔍 How It Works

1. Recording Phase

   • Opens browser (Playwright)
   • Checks robots.txt (asks for confirmation if restricted)
   • Waits for user to navigate through the site
   • Captures screenshot + HTML on each navigation
   • Records journey steps in JSON

2. Analysis Phase

   • Loads journey data
   • Applies UX guidelines (from ecommerce-ux-guidelines)
   • Runs accessibility checks
   • Generates issue annotations
   • Blurs PII in screenshots
   • Creates interactive report

3. Reporting Phase

   • Generates HTML with embedded screenshots
   • Creates visual journey map
   • Exports JSON for automation
   • Annotates screenshots with issue markers

🧩 Integration with ecommerce-ux-guidelines

This tool depends on the ecommerce-ux-guidelines package for UX validation:

from ecommerce_ux_guidelines import GuidelineEngine, Validator, AccessibilityValidator

# UX Journey Scraper uses these internally
engine = GuidelineEngine()
validator = Validator(engine)
a11y_validator = AccessibilityValidator(engine)

🛣️ Roadmap

Phase 1 (Current)

• ✅ Desktop web journey recording
• ✅ UX guidelines validation
• ✅ HTML report generation
• ✅ PII blur
• ✅ robots.txt handling

Phase 2 (Coming Soon)

• ⬜ Mobile web recording (responsive viewports)
• ⬜ Automated crawling (follow links automatically)
• ⬜ Visual journey flow diagrams
• ⬜ PDF export
• ⬜ Slack/email notifications

Phase 3 (Future)

• ⬜ Mobile app recording (iOS/Android via Appium)
• ⬜ A/B testing comparison
• ⬜ Historical journey tracking
• ⬜ Team collaboration features
• ⬜ CI/CD integration

🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

📄 License

MIT License - see LICENSE file for details

🔗 Related Projects

• ecommerce-ux-guidelines - 324+ research-backed UX guidelines

📞 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions

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