The tutorial explores three different methods for scraping job listings from the JOBKOREA portal, aimed at varying levels of complexity and reliability. Initially, it introduces manual Python scraping, which involves extracting data by sending HTTP requests and parsing HTML with BeautifulSoup, but notes its vulnerability to changes in site structure. The second method leverages Bright Data Web MCP to provide a more stable and automated solution by handling page rendering and content fetching, making it less sensitive to layout changes and ideal for consistent, long-term scraping. Lastly, the tutorial presents a no-code approach using Bright Data's AI Scraper Studio, which generates scraping code based on user descriptions, offering a quick and reusable solution that integrates easily with managed scrapers. Each technique is tailored to specific use cases, such as quick prototyping, production-level scraping, or minimal setup for structured data extraction, demonstrating the trade-offs between setup effort, reliability, and automation potential.