I created efficient web scraping solutions to extract valuable data from websites across various industries. My work included designing and implementing automated scripts to handle dynamic web pages, navigate AJAX-loaded content, and bypass anti-scraping mechanisms like CAPTCHAs and rate limiting. I used tools like Selenium, BeautifulSoup, and Scrapy to ensure the scraping process was accurate and optimized for performance.
The projects involved identifying key data points, crafting precise XPath and CSS selectors, and ensuring structured data extraction. The extracted data was cleaned and exported into formats such as Excel or CSV, ready for analysis and integration. I also utilized APIs where applicable to enhance the reliability and efficiency of the data collection process.
My solutions were built to handle high volumes of data and adapt to frequent changes in website structures. For instance, I developed a scraper for Kayak.com to extract car rental listings by location and date, addressing challenges such as dynamic elements and conditional content like 'Provider’s Pick.'
Problem-solving and debugging were integral parts of my work. I regularly resolved issues caused by website updates and implemented optimizations for speed and scalability. Documentation was a priority to ensure tools were user-friendly, reusable, and scalable for future requirements.
This work spanned industries like travel, e-commerce, and real estate, providing clients with actionable datasets to improve decision-making and save hours of manual effort. My role required a blend of technical expertise, analytical thinking, and attention to detail to deliver impactful results.