Construção de um diretório de dados sobre anúncios em marketplaces: estudo de caso com o Mercado Livre

Abstract

This work presents the development of a comprehensive data directory on marketplace advertisements, using Mercado Libre as a case study. The research employs an exploratory methodology that combines web scraping techniques, heterogeneous data processing, and systematic structuring to overcome the challenges inherent in extracting information from e-commerce platforms. The developed system integrates automated data collection processes, transformation and normalization of structured and unstructured information, and implementation of analytical visualizations for identifying business patterns. Using MongoDB as a storage solution, the proposed architecture demonstrates the feasibility of transforming scattered marketplace data into structured information that enables the identification of market trends and strategic business insights. The results highlight the effectiveness of the proposed methodology in building commercial data repositories, contributing to the field of data analysis in e-commerce and providing a replicable methodological basis for similar studies in different marketplace contexts.