Bibliographic citations
Villanueva, D., Lozano, L. (2022). Dashboard para el análisis de ofertas laborales en la región la Libertad usando técnicas de Web Scraping, en el periodo 2020-2021 [Tesis, Universidad Privada Antenor Orrego.]. https://hdl.handle.net/20.500.12759/9317
Villanueva, D., Lozano, L. Dashboard para el análisis de ofertas laborales en la región la Libertad usando técnicas de Web Scraping, en el periodo 2020-2021 [Tesis]. PE: Universidad Privada Antenor Orrego.; 2022. https://hdl.handle.net/20.500.12759/9317
@misc{renati/379931,
title = "Dashboard para el análisis de ofertas laborales en la región la Libertad usando técnicas de Web Scraping, en el periodo 2020-2021",
author = "Lozano Ortiz, Luis Eduardo",
publisher = "Universidad Privada Antenor Orrego.",
year = "2022"
}
Currently there is a need to obtain information in an automated way marking a change in people, changing societies and economies in different places, many times according to people's interests, especially pursuing information updates. The difficulty of searching or checking for breaking news or new articles is often a waste of time even more so if we take into account the volume of data that is online. When a graduate or professional from the universities of the La Libertad region looks for a job, he finds a big problem, all the calls are scattered in several portals and in each of them the way to access is different, even the way in which The calls are sought, this search process takes time and above all the loss of opportunities to apply for a call and get informed on time. This leads to the need to be visiting each site and comparing, but there is no tool that allows them to quickly do this work and that makes it easier for them to make the decision. Our project evaluates, analyzes and compares the data of the different companies dedicated to publishing job offers via the web in the La Libertad region through the web Scraping data extraction technique and thus providing a tool to people or educational institutions that require to know said information in a more analytical way through a Dashboard
This item is licensed under a Creative Commons License