Published Paper Details:

In today's data-driven world, the internet is a vast repository of valuable information. Extracting and analyzing this data can offer unparalleled insights, opportunities, and a competitive edge. The Data Crawler, also known as a web crawler or spider, is a pivotal technology that plays a vital role in the extraction of web data at scale. It is an automated software program navigates through web pages, follows links, and systematically gathers data from diverse sources. This Python project uses Selenium to automate a web browser, enabling it to navigate to specified URLs and simulate user interactions. Once on a target page, Selenium employs CSS selectors or XPath to locate and extract desired data elements. The extracted data is then parsed, cleaned, and structured into a suitable format, such as CSV or JSON. Finally, the script iterates through multiple pages or elements as needed, systematically collecting and storing the organized data into a file or database for subsequent analysis or use.