Automated Web Scraping in R Using Rvest

Learn how to implement automated web scraping in R using the rvest package for analyzing timely and frequently updated data. Explore techniques for periodically scraping political news and events, filtering relevant information, and performing sentiment analysis on comments. Discover how to set up a script that runs hourly to capture changing events and commentary, summarize key discussions, identify themes in headlines, and track sentiment trends over time. Follow along as the process of writing standard web scraping commands, filtering data, analyzing text, and sending email alerts with results is demonstrated. Gain practical skills for real-time data collection and analysis that can be applied to various scenarios requiring up-to-date information.

Introduction
Overview
Download our script
Getting the timestamps
Organizing the data
Sentiment
Sentence ID
Sentiment Score
Scheduling the script
Conclusion