Michael Mathias

I’m a Web Scraping and Data Extraction Engineer building resilient extraction systems for dynamic, JavaScript-rendered websites. I specialise in Python and Playwright to navigate pagination, anti-bot mechanisms, and reliability challenges—designing end-to-end scraping pipelines with robust error handling, retry logic, logging, and automation via GitHub Actions for repeatable execution.

I deliver structured, analysis-ready data by combining browser automation, API integration, complex PDF parsing, and validation workflows. Highlights include an automated daily Jumia price intelligence tracker that reduced manual monitoring effort by 80%, a multi-page NigeriaPropertyCentre scraper that improved extraction efficiency by 70%, and an asynchronous IMDb Top 250 pipeline that increased data collection speed by 60–70%. In freelancing, I automated extraction of 100–300 daily PDF invoices and reduced client processing time by 85%, and cleaned standardized 30 days of sales data to cut manual processing time by 70% while improving reporting efficiency by 60%.