Desenvolvimento de uma Plataforma de Busca de Vagas de Emprego Utilizando Web Scraping e Classificação com Google Natural Language AI.

Abstract

This paper aims to describe the development of a web platform for searching job opportunities, using web scraping techniques and the Google Natural Language AI natural language classification tool. The application aims to facilitate the job search process by classifying available offers using keywords that represent the candidate’s area of interest. To enable this classification, the web scraping technique is applied, which allows the automated extraction of data from websites that list job vacancies. The captured data is then processed and classified by Google Natural Language AI, a stage in which the identification of relevant keywords that are linked to the respective vacancies occurs. In the web application, the vacancies are listed with their keywords and other relevant data such as salary range, hiring modality, and workplace, allowing the user to filter by their area of interest in a simplified way. Consequently, the process of searching for professional opportunities becomes more efficient, since candidates start to receive information that is more aligned with their profile and interests, reducing the time spent on manual searches.