Desarrollo de aplicación web para extracción de datos con web scraping y herramienta analítica de datos : Aplicativo web de extracción de datos.

Abstract

Currently there are web systems that allow web scraping to be carried out but they are difficult to search or find on the internet, this functionality is very useful in many areas of both study and work. This web system for data extraction aims to facilitate this process and store the extracted information in an orderly and structured manner in a NoSQl database such as MongoDB. Why is it important to know how to use it if you need to analyze web data? In this automated way, information can be obtained from pages that allow it and structure said information so that it can be used at the convenience of users. By applying this tool, data collection facilitates its visualization through a frontend system. A very important tool for the development of this web system is Django since it is focused on the python programming language and at the same time this language is the most practical to carry out web scraping of different web pages and structure them in a database that in this case is MongoDB.