In this tutorial, we'll extract the President's lies from the New York Times article and store them in a structured dataset. This is a great format for human consumption, but it can't easily be understood by a computer. Because this is a newspaper, the information was (of course) published as a block of text. On July 21, 2017, the New York Times updated an opinion article called Trump's Lies, detailing every public lie the President has told since taking office. Appendix C: Alternative syntax for Beautiful Soup.Recap: Beautiful Soup methods and attributes.All that is required to follow along is a basic understanding of the Python programming language.īy the end of this tutorial, you will be able to scrape data from a static web page using the requests and Beautiful Soup libraries, and export that data into a structured text file using the pandas library. This an introductory tutorial on web scraping in Python. Note: This tutorial is available as a video series and a Jupyter notebook, and the dataset is available as a CSV file. Python tutorial Web scraping the President's lies in 16 lines of Python.
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