Web Scraping for Effective Feedback Analysis: Harnessing the Voice of Customers (Computers - Information Technologies)

Item ID 132763766 in Category: Computers - Information Technologies

Web Scraping for Effective Feedback Analysis: Harnessing the Voice of Customers


In the world of online business, customers tend to trust and buy products more based on their ratings and reviews. Therefore, it is crucial for companies to have a good analysis of their online products and customer feedback. In any e-commerce website, the overall rating allocated to a product is based on the individual reviews by the customer. Lately, these Ratings/Reviews become a key factor in determining whether a customer will buy a product or not. Web scraping reviews along with product specifications can be managed, studied, and analyzed. Helping a great deal with the decision-making process.
Customer feedback contains a lot of valuable information that can help drive business growth. Customer feedback analysis is the practice of gathering, analyzing, and interpreting customer feedback better to understand their needs, preferences, and concerns. It is critical for any company looking to improve its products, services, and customer experience.
TagX has dedicated teams and streamlined processes to quickly and effectively scrape data from a wide range of websites, including those with complex structures or anti-scraping measures. TagX is updated with the latest web scraping trends, regulations, and ethical considerations. They adhere to data privacy laws and guidelines, ensuring compliance and protecting sensitive customer information. This mitigates legal risks and safeguards the reputation and trustworthiness of the business. By partnering with experienced data providers like TagX, businesses can focus on utilizing the extracted customer reviews to make informed decisions, enhance their products or services, and stay ahead of the competition


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Last Update : Oct 17, 2023 2:37 AM
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Item  Owner  : Prashi Ostwal
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Contact Phone: 091319 20438

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2024-05-06 (0.389 sec)