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Scraping fashion websites for garment data involves extracting details like product names, prices, descriptions, sizes, colors, materials, and images. This process typically uses tools like BeautifulSoup, Scrapy, or Selenium to navigate web pages and extract information. Key steps include identifying target websites, understanding their HTML structure, and developing scripts for data extraction. Legal and ethical considerations are crucial, ensuring compliance with site policies and handling dynamic content and anti-scraping measures. The extracted data aids in market analysis, trend forecasting, inventory management, and personalized recommendations.
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Ad Detail: Scrape Fashion Websites Data
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