Web scraping is a complex task due to challenges like anti-bot mechanisms and the need for loading dynamic content, which often requires the use of browser automation tools such as Puppeteer, proxy rotations, and CAPTCHA solutions. This article introduces a transition from traditional proxy-based scraping to using the Bright Data Scraping Browser, which automates proxy management and scaling to lower development and maintenance costs. It compares both methods in terms of configuration, performance, scalability, and complexity, demonstrating how the Bright Data Scraping Browser simplifies operations by eliminating manual proxy rotation and complex browser setups, thereby increasing data retrieval success rates. Additionally, the article provides a tutorial on setting up both methods with examples and explores the advantages of integrating the Bright Data Scraping Browser into larger applications using Express. By automating many of the manual processes involved in traditional scraping methods, the Bright Data Scraping Browser offers a more efficient, cost-effective, and scalable solution for large-scale data extraction.