This is part 2 of an introductory web scraping tutorial. In this video, we’ll read a New York Times article into Python, and then use the Beautiful Soup library to parse the HTML based on patterns in the article’s formatting.
Watch the 4-video series:
== RESOURCES ==
Download the Jupyter notebook:
New York Times article:
requests documentation:
Beautiful Soup documentation:
== DATA SCHOOL VIDEOS ==
Machine learning with scikit-learn:
Data analysis with pandas:
Version control with Git:
== SUBSCRIBE FOR MORE VIDEOS ==
== JOIN THE DATA SCHOOL COMMUNITY ==
Newsletter:
Twitter:
Facebook:
Patreon:
