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How to Extract Data From Websites With R | Web Scraping Tutorial

Decodo (formerly Smartproxy)

Unlock the full potential of R for data extraction! In this comprehensive web scraping tutorial, we’ll walk you through the steps to scrape static pages, HTML tables, and dynamic content using R and RStudio. Whether you're a beginner or an experienced data scientist, this guide will help you enhance your data collection skills.

📌 Useful resources:

Download R: https://cran.r-project.org/

RStudio: https://posit.co/download/rstudio-desktop/

rvest documentation: https://cran.r-project.org/web/packages/rvest/rvest.pdf

Our web scraping playlist: https://youtube.com/playlist?list=PL7pslqhZ89OjfDEEBkUrLHYZezzW0vYZX&feature=shared

Wanna boost your efficiency with codeless web scrapers?

Try Decodo (formerly Smartproxy) Scraping API with a free trial: https://decodo.com/scraping?utm_source=youtube&utm_campaign=web_scraping

🔍 What You’ll Learn in This Video

- Setting up R and RStudio for web scraping.

- Extracting data from static web pages using the rvest package.

- Scraping and parsing HTML tables (e.g., Wikipedia tables).

- Handling JavaScript-based dynamic pages and pagination.

- Saving your scraped data as CSV files for further analysis.

🛠️ Packages Used

rvest

tidyverse

Code Snippets are pinned in the comments section.

How to Extract Data From Websites With R | Web Scraping Tutorial | Knoovi