Automation of Patent Searches at INPI: A Web Scraping and Data Analysis Approach

João Alexandre Brito; Celso Barreto da Silva; Fabio Fonseca Barbosa Gomes

doi:10.34178/jbth.v9i5.620

João Alexandre Brito
Celso Barreto da Silva
Fabio Fonseca Barbosa Gomes

DOI: https://doi.org/10.34178/jbth.v9i5.620

Keywords: Patent Search, Search Automation, Web Scraping, INPI, WIPO

Abstract

Patent searches are an essential step in technological development and innovation, but the traditional search process can be time-consuming and inefficient. This article presents PATENTIA, a system that automates patent searches at the National Institute of Industrial Property (INPI) using web scraping techniques and relational database data storage. The system allows the separation and analysis of patent data, presenting it in an organized way in a web interface developed with React and Node.js. In addition, the tool allows the export of results in Excel format, making it a useful resource for researchers, inventors, and companies. This study details the development of the tool, the challenges encountered, and the benefits of automation in the patent search process.