Hotel Price Monitoring / Web Scraping

I successfully completed a project to scrape local hotel websites for price changes. The project involved scraping four websites and was completed within three days using tools like Python, BeautifulSoup, Scrapy, and Selenium. The extracted price data was delivered in formats such as Excel, CSV, JSON, or SQL, tailored to the client’s needs. This quick turnaround provided accurate and actionable insights for the client to track pricing trends efficiently.