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🐍 + 📜 Advanced Tier: Python + JavaScript

Cross-Language Web Scraping & Automation

⭐ ADVANCED TIER Python JavaScript
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🎯 Integration Overview

This advanced program demonstrates how Python and JavaScript work together, with Python orchestrating workflows and JavaScript handling dynamic web content.

🐍 Python
Orchestration
📜 JavaScript
Web Rendering
🐍 Python
Processing

✨ Key Features

🐍 Python Strengths

  • Subprocess management
  • Data processing
  • JSON parsing
  • Workflow orchestration

📜 JavaScript Strengths

  • Async/await operations
  • DOM manipulation
  • Web scraping
  • JSON serialization

🔗 Integration Benefits

  • Best of both worlds
  • Optimal task distribution
  • Production-ready pattern
  • Scalable architecture

💻 Complete Code Sample

📄 advanced-python-javascript.py
#!/usr/bin/env python3
"""
Advanced Tier: Python + JavaScript Integration
Demonstrates Python controlling JavaScript execution via Node.js
"""

import subprocess
import json
from typing import Dict, List, Any

JS_SCRAPER_CODE = """
const scrapeData = async (url) => {
    return {
        url: url,
        title: `Page Title from ${url}`,
        content: 'Dynamic content loaded by JavaScript',
        metadata: {
            timestamp: new Date().toISOString(),
            engine: 'Node.js + JavaScript'
        }
    };
};

(async () => {
    const urls = process.argv.slice(2);
    const results = await Promise.all(
        urls.map(url => scrapeData(url))
    );
    console.log(JSON.stringify(results, null, 2));
})();
"""

class PythonJavaScriptIntegration:
    def execute_javascript(self, urls: List[str]) -> List[Dict]:
        """Execute JavaScript code via Node.js from Python"""
        with open('/tmp/scraper.js', 'w') as f:
            f.write(JS_SCRAPER_CODE)
        
        result = subprocess.run(
            ['node', '/tmp/scraper.js'] + urls,
            capture_output=True,
            text=True
        )
        
        return json.loads(result.stdout)
    
    def process_results(self, raw_results: List[Dict]) -> Dict:
        """Python processes the JavaScript results"""
        return {
            'total_pages': len(raw_results),
            'pages': [page['url'] for page in raw_results],
            'summary': {
                'engines_used': ['Python', 'JavaScript', 'Node.js'],
                'integration_type': 'Python → JavaScript → Python'
            }
        }

# Usage
integration = PythonJavaScriptIntegration()
urls = ['https://example.com/1', 'https://example.com/2']
raw_results = integration.execute_javascript(urls)
processed = integration.process_results(raw_results)
print(json.dumps(processed, indent=2))

🚀 Use Cases

Web Automation

Python scripts controlling browser automation via Node.js and Puppeteer

Data Pipeline

JavaScript extracts data, Python processes and stores it

API Integration

Combine Python's data science libraries with JavaScript's async capabilities

Testing Framework

Python test runners executing JavaScript test scenarios

📥 Get the Code

Download and run this advanced integration example

View on GitHub →
🤖 AUL-enabled