Web scraping at scale faces challenges such as anti-scraping measures, which can be mitigated using proxies, particularly rotating proxies, that frequently change IP addresses to avoid detection and blocking. Rotating proxies are preferred for large-scale scraping as they distribute requests across numerous IPs, reducing the risk of rate-limiting or bans, unlike static proxies that use a single IP and are suitable for tasks requiring a consistent identity. Proxies can be classified into data-center and residential types, with the latter being more effective at mimicking regular user connections. A robust scraping system often includes a proxy rotator to manage proxy selection and implement retry logic, ensuring requests are spread across diverse IP subnets and locations. This strategy helps in overcoming common web scraping obstacles like IP bans, geo-restrictions, and anti-bot fingerprinting, although rotating proxies need to be used alongside other techniques to fully evade detection. Implementing effective proxy rotation involves strategies such as random selection, round-robin, and time- or request-based rotation, while ensuring proxies are healthy and diverse to prevent detection patterns. Legal and ethical considerations are crucial, as scraping must respect the terms of service, privacy laws, and intellectual property rights of the target websites, emphasizing the importance of responsible and informed scraping practices.