
Austin Scraper
Professional Web Scraping and Data Extraction Specialist
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Portfólio
Experiência profissional
Data Scraping & Automation Specialist
DataDistillr • Freelance
Feb 2026 - Mar 2026 • 1 mo
Started professional career in web scraping and data automation, supporting senior developers in building and maintaining data extraction tools for startup clients and internal projects. Assisted in developing Python scraping scripts using BeautifulSoup and Requests to collect publicly available data from e-commerce platforms, job boards, and news aggregators. Learned and applied headless browser automation using Puppeteer for JavaScript-rendered websites that traditional HTTP scrapers could not access. Contributed to building a price monitoring tool that tracked competitor pricing across 15+ e-commerce websites daily, delivering real-time alerts to the client's dashboard. Gained hands-on experience handling IP rotation, user-agent spoofing, and request throttling to avoid detection. Supported data delivery in multiple formats including CSV, JSON, and Excel. Developed strong foundations in data quality assurance, ensuring all scraped datasets were validated before client delivery.
Senior Web Scraping & Data Extraction Specialist
DataCamp • Freelance
Dec 2025 - Dec 2025 • 0 mos
Leading end-to-end web scraping and data extraction projects for clients across e-commerce, real estate, finance, and lead generation industries. Responsible for designing and deploying automated scraping pipelines using Python, Puppeteer, and BrightData residential proxies to collect large-scale structured data from complex, JavaScript-heavy websites. Developed anti-bot bypass systems using ZenRows and rotating proxy infrastructure to ensure uninterrupted data delivery. Built custom scrapers handling CAPTCHA solving, session management, and login-authenticated pages. Delivered data outputs in CSV, JSON, Excel, Google Sheets, and MySQL formats tailored to each client's workflow. Managed multiple concurrent scraping projects with strict deadlines, consistently delivering clean, structured, and accurate datasets. Collaborated with data analysts and business intelligence teams to ensure scraped data met quality benchmarks. Reduced client data acquisition costs by over 60% by replacing manual research with fully automated scraping pipelines.