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C-EB/README.md

Hi there! πŸ‘‹ I'm Charif

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Visitors GitHub followers GitHub stars


πŸš€ About Me

I'm a passionate Python Developer specializing in web scraping, automation, and data extraction. I build scalable, production-ready solutions that solve real-world problems with clean, maintainable code.

πŸ”Ή Focus Areas: Web scraping, bot development, automation pipelines
πŸ”Ή Environment: Linux enthusiast (Debian/Kubuntu)
πŸ”Ή Philosophy: Clean code, modular architecture, professional presentation
πŸ”Ή Current Interest: LLM-based agents and intelligent automation tools


πŸ› οΈ Skills & Technologies

Languages & Frameworks

Python JavaScript HTML5 CSS3

Web Scraping & Automation

Selenium BeautifulSoup Requests

Tools & Platforms

Linux Git GitHub VS Code Google Colab

Data & APIs

Pandas JSON Telegram Bot API


πŸ’Ό Core Expertise

πŸ•·οΈ Web Scraping

  • Advanced Selenium automation
  • undetected-chromedriver for stealth scraping
  • BeautifulSoup for HTML parsing
  • Anti-detection techniques
  • Data pipeline architecture

πŸ€– Bot Development

  • Telegram bot integration
  • Job alert systems
  • Real-time data monitoring
  • Automated notifications
  • Production deployment

πŸ† Featured Projects

🎯 Telegram Job Alert Scraper Bot

A production-ready bot that monitors job postings and sends real-time alerts

ReadMe Card

πŸ”Ή Tech Stack: Python, Selenium, Telegram Bot API, BeautifulSoup
πŸ”Ή Features: Automated job monitoring, real-time alerts, scalable architecture
πŸ”Ή Deployment: Linux-based production environment


🌐 Advanced Web Scraping Framework

Modular, scalable web scraping solution with anti-detection

ReadMe Card

πŸ”Ή Tech Stack: Python, Selenium, undetected-chromedriver
πŸ”Ή Features: Anti-detection, proxy rotation, data validation
πŸ”Ή Use Cases: E-commerce, job boards, social media


πŸ“Š GitHub Analytics

GitHub Streak

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🎯 Current Focus

πŸ”₯ What I'm Working On
  • πŸ€– LLM-based automation agents for intelligent data processing
  • πŸ•ΈοΈ Next-gen scraping tools with enhanced anti-detection
  • πŸ“Š Data pipeline optimization for large-scale extraction
  • πŸš€ Open-source contributions to scraping and automation libraries
πŸ“š Learning & Exploring
  • 🧠 Machine Learning integration with scraping workflows
  • ☁️ Cloud deployment strategies for scaling bots
  • πŸ”§ Advanced automation patterns and architectures
  • 🌐 Modern web technologies and scraping challenges

🌟 Why Choose My Solutions?

class CEBApproach:
    def __init__(self):
        self.principles = {
            "code_quality": "Clean, readable, and maintainable",
            "architecture": "Modular and scalable design",
            "reliability": "Production-ready and battle-tested",
            "documentation": "Clear and comprehensive",
            "support": "Professional and responsive"
        }
    
    def deliver_value(self):
        return "Solutions that work reliably in real-world scenarios"

πŸ’‘ "Building intelligent automation solutions that scale"

Open for freelance projects, collaborations, and interesting challenges!

⭐ Star my repositories if you find them useful! ⭐


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