Web scraping is a technique used to extract and process unstructured data from the internet, transforming it into valuable datasets that offer competitive advantages. However, the process is fraught with challenges such as IP blocking, CAPTCHA, rate limiting, dynamic content, and page structure changes. Solutions to these issues include using proxy services for IP rotation, employing AI and machine learning to solve CAPTCHAs, and utilizing headless browsers for dynamic content. Companies like Bright Data provide comprehensive toolsets to address these challenges, but ethical considerations and adherence to data regulations and website terms of service are crucial. Additionally, resilient parsers and monitoring systems can help manage changes in page structure, while prebuilt datasets from providers like Bright Data offer alternative solutions for complex challenges.