• Mr. DARA MURALI KRISHNA

Web search engines are essential tools that automatically navigate the enormous internet by downloading files and clicking on links to visit numerous web pages. These engines are essential to information indexing because they help consumers locate pertinent content quickly. Web searches have far more potential than just indexing; they may be used for applications like page validation, structural analysis, visualization, update notification, mirroring, and personal web assistants/agents. Worms, robots, and spiders are other names for web searches. Single query is contained in one machine. The Search just sends HTTP requests for documents to other computers on the Internet, exactly way a web browser does when a user clicks on links. Actually, the Search only ever follows links automatically. In addition to the speed of their own Internet connections, the speed of the websites being searched has an impact on how rapidly someone can search the web. The amount of time spent searching could be significantly reduced if several downloads are made at once, particularly if one is a searching site from multiple servers. In this work, the "Breadth First Searching" algorithm—a modified version of one of the original dynamic Web search algorithms—is used.

Internet Connection, Breadth First Search Algorithm, Worms, Robots, Web Search.

"Unveiling WebPageDigger: Empowering Web Page Mining through Internet Traffic Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.g207-g210, November-2022, Available :http://www.jetir.org/papers/JETIR2211664.pdf

"Unveiling WebPageDigger: Empowering Web Page Mining through Internet Traffic Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppg207-g210, November-2022, Available at : http://www.jetir.org/papers/JETIR2211664.pdf