kanyipi / ecbs-5306-coding-2-web-scraping-with-r

• Web scraping with R
• Pre requirements:
• Topics:
• Assignments
• Schedule
• Week 1
• Week 2
• Week 3
• Week 4
• Contact

In this repository you will find the code of the "Coding 2: Web Scraping with R" course in the 2020/2021 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

Assignments

• Scrape news site(25%)
• Work with api(25%)
• Final assignments(50%)

Schedule

6 X 100 mins
Schedule

Week 1

• Loops, sapply, lapply, for while
• Functions
• Rvest
• HTML structure
• Object selector with css SelectorGadget

Week 2

• Processing html documents with rvest
• Economist scraper
• Yachtworld scraper
• Tasks : ultimatespecs scraper

Week 3

• Processing Json objects
• Jsonlite
• Json in html document imdb
• Json in html document payscale
• GET
• Task exchange rate
• Nasdaq data

Week 4

• Working with api
• Coingecko api
• Tradingview
• Eu fundings
• Task forbes

Contact

Orsós Mihály
git email

Mészáros Viktória
git email