Python Automation in Nairobi: How I Architected a Custom Job Pipeline
The Nairobi tech market moves fast, but manual job hunting moves at a snail's pace. To bridge this gap, I developed a custom Python automation suite designed to provide real-time visibility into senior-level vacancies across the city's top job boards.
Building the Scraper with BeautifulSoup and Selenium
The core of this project involves a robust web scraper built on Python. By leveraging BeautifulSoup for static data extraction and Selenium for dynamic content, the script navigates complex site architectures to pull high-value leads. This isn't just a basic scraper; it’s a strategic data tool that filters for seniority and specific tech stacks relevant to the Kenyan ecosystem.
Real-time Alerts via Telegram Bot
Data is only useful if it’s timely. I integrated an OpenClaw gateway to push instant notifications to a private Telegram bot. This ensures that "Python Automation Nairobi" isn't just a keyword—it's a functional competitive advantage that allows me to respond to opportunities the moment they go live.
By treating my career search like a data engineering problem, I’ve managed to turn a chaotic manual process into a streamlined, automated pipeline.
