A simple repository showing how to extract data from tables in web pages
- Most of the times you may be looking forward to get data from the web but it is existing in table format
- You can choose to copy-paste which is tendious and also time-consuming. Another drawback of copy-pasting, is that you are likely to lose some of the information along the way
- Fortunately, you can ease all the work by obtaining the entire tables from the web pages by performing simple scraping
We will be focusing with the rvest package which is core in performing web scraping
- We will be scraping tables from Wikipedia page Premier League
- One major challenge with web scraping is that websites are prone to changes, fortunately, Wikipedia changes doesn't alter the structure of the page and that why it will be used.
- We will clean the data for the Top Ten Premier League Players with the highest transfer fee