Analysis Of Automatic Web Data Collection (Web Scraping) Technologies
Keywords:
web scraping, web data collection, automation, data extraction, Python, Beautiful Soup, Selenium, web parsing, data security, digital technologiesAbstract
Automatic web data collection (web scraping) is one of the important technologies for obtaining and analyzing information in today's digital age. Billions of data are stored on the Internet, but collecting them manually is time-consuming and error-prone. Web scraping technologies allow you to automatically extract data from websites. This article examines the basic definition, technical foundations, areas of application, advantages and disadvantages of web scraping. Libraries widely used for web scraping in programming languages such as Python, JavaScript, Java were analyzed. The article also addresses important questions about web scraping, including legal and ethical issues, robots.txt, API implementation, and data security. The results of the study show that, when used correctly and transparently, web scraping technologies can be a very effective tool for web applications, data analysis, sample research, and market monitoring.
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