Web Scraping News Sites with Python

There is more information on the Internet than any individual can absorb in a lifetime. What is needed is not merely access to that information, but a scalable way to collect, organize, and analyse it.

Web scraping is a technique to automatically access and extract large amounts of information from a website.

This workshop will cover how to use Python to create a program to automatically retrieve and process information from a range of news sites and save this data in a structured format. This approach opens up a world of possibilities in data mining, data analysis, statistical analysis, and much more.

Participants will be sent an event link in advance of the session.

Due to high demand for our training events, our cancellation and no-show policy applies to bookings for this event. Click here for details of this policy.

You might be interested in

Analysing Spatial Dynamics with GIS and R

Analysing Spatial Dynamics with GIS and R

Introduction to Databases and SQL

Silent Disco: Introduction to Databases and SQL

Introduction to Topic Modelling with Bert

Introduction to Topic Modelling with Bert

Null Hypothesis Testing in R

Null Hypothesis Testing in R

Manuscript

Getting Started with Transkribus

Gale Digital Scholar Lab Workshop

Gale Digital Scholar Lab Workshop

Digital Method of the Month. Machine learning

Digital Method of the Month: Machine Learning

Introduction to Network Analysis with Gephi

Introduction to Network Analysis with Gephi

Processing Geographical Data in QGIS

Processing Geographical Data in QGIS