Control a web browser from R to web scrap static and dynamic websites using {chromote}

Learn to scrape static and dynamic JavaScript websites using R and Chromote! Perfect for data scientists working with modern web applications.

In this tutorial, you'll learn:
- How to use Chromote R package with Chrome DevTools Protocol
- Scraping JavaScript-generated content
- Handling dynamic page elements
- Converting web data to R dataframes
- Cleaning and analyzing scraped data

Projects Covered:

Required R Packages 📦 :
- Chromote
- rvest
- lubridate
- dplyr

Required Software:
- Chrome or a Chromium-based browser

Timeline:
0:00 - Introduction to Chromote and dynamic web scraping
0:42 - Overview of the tutorial structure
1:31 - Initial setup and browser demonstration
2:16 - Installing required R packages (Chromote, rvest, lubridate)
2:47 - Launching a Chrome browser session from R
3:37 - Getting Chrome version information
4:48 - Using system sleep for page loading
5:28 - Introduction to Chrome DevTools for element inspection
6:22 - Using CSS selectors to identify page elements
7:35 - Highlighting and capturing page elements
8:42 - Extracting HTML content with Chromote
10:04 - Processing HTML with rvest
12:27 - Handling dynamic search functionality
13:44 - Programmatically entering search queries
14:35 - Interacting with search results
15:23 - Extracting weather forecast data
16:28 - Converting HTML tables to R dataframes
19:13 - Cleaning and processing weather data
20:29 - Analyzing the extracted weather data
21:19 - Cleaning up browser sessions
21:49 - Conclusion

💻 Code & Resources:

🔗 Connect with me:

#Rstats #DataScience #WebScraping #Programming #DataAnalysis #Tutorial

❓ Have questions? Leave them in the comments below!