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Web scraping to Excel involves extracting data from websites and organizing it into Excel for easy analysis. This is useful for collecting data like prices, product information, or reviews. Tools like BeautifulSoup, Scrapy, and Selenium help automate the scraping process, allowing users to capture and structure data efficiently. After scraping, data can be saved as a CSV file, which Excel can open directly. Python libraries like pandas simplify data handling, converting data into tabular form before export. This technique is widely used for research, competitive analysis, and market insights but must follow ethical and legal standards to avoid data misuse.

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