aronpalk / web_scraping

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In this repository you will find the code of the "Coding 2: Web Scraping with R" course in the 2019/2020 Fall term, part of the MSc in Business Analytics at CEU.

Web scraping with R

Pre requirements:

  • Installed R and R studio
  • "rvest", "data.table", "jsonlite" package installed
install.packages(c("rvest", "data.table", "jsonlite"))
  • SelectorGadget extension for browser. (Chrome is the preferred browser)

Topics:

  • rvest, html_nodes, html_attr, html_table, lapply, sapply, for loop, if statment
  • GET, POST, ad header and data to requests
  • Selenium
  • Multi threading with R and python

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Language:Jupyter Notebook 61.6%Language:R 38.4%