Why you should use Stata and Python - The Power of Data Scraping
Are you tired of spending countless hours navigating websites and taking extensive notes for your research? Say hello to data scraping - a game-changing technique that allows you to extract information from websites and transform it into a spreadsheet.
Web data scraping is one of the oldest techniques for extracting content from the Web, and it`s valuable to a wide range of applications. The objective of this technique is to extract data from Web sources. It allows you to interact with a website and extract it's data through the combined efforts of humans and automations. The retrieved data can be edited, formatted, structured and stored through the data management techniques. The importance of this technique has grown with the increase of data available on the Web: so-called Big Data. It is essential that this technique be part of your skills portfolio, given the positive increasing trend of the information produced, shared, and consumed online. Acquiring these skills will allow you to efficiently collect this data with limited human effort. It will therefore enable you to very quickly obtain a large amount of data ready to be analysed. The application of data management and analysis techniques will enable you to understand complex social and economic phenomena.
From a practical point of view, this technique can help companies obtain and analyse a great deal of information on the activities of their competitors, enabling them to understand market challenges and opportunities. Nowadays, the increasing amount of available data makes this technique even more interesting. Moreover, it is easy to set up a data scraping pipeline, with a minimum of programming effort, and to meet a number of practical needs.
The integration of Stata and Python provides a powerful solution for effortless data scraping. This guide will introduce you to the process of data acquisition using various Python libraries, followed by analysis in Stata. By mastering code replication in Python and analysing the resulting datasets in Stata, you will be equipped to tackle the challenges commonly encountered in data scraping projects.
Register now on our short course in Data Scraping using Stata and Python with Dr Francesco Lopes on May 24 - 25
