This document presents the description and implementation of the Data from Online Travel Agencies project in Python (DOTApy)1. DOTApy was born with the idea of collecting a large amount of data directly from an Online Travel Agencies (OTA) and subsequently analyzing it. The extrapolated information regards the hotel infrastructures and their price over a certain period of time. Subsequently, by studying the data collected, it is possible to highlight the changes for the various types of infrastructure during the pre-established period. The heart of the project is the development in Python of the software that allows the automatic extraction of the collected data.
DotaPy: Using Python Selenium to Extract Information and Prices Trends from Online Travel Agencies
A Marchetti;A Lo Duca
2020
Abstract
This document presents the description and implementation of the Data from Online Travel Agencies project in Python (DOTApy)1. DOTApy was born with the idea of collecting a large amount of data directly from an Online Travel Agencies (OTA) and subsequently analyzing it. The extrapolated information regards the hotel infrastructures and their price over a certain period of time. Subsequently, by studying the data collected, it is possible to highlight the changes for the various types of infrastructure during the pre-established period. The heart of the project is the development in Python of the software that allows the automatic extraction of the collected data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
