The code

I started by simply downloading the main HTML file manually from the web browser. This main page cointains URL links to all 216 matches of the regular season. Scraping the HTML table is straightforward, but this gives you the URL text, not the actual URL link. I found this tip, saying that an easy fix is to edit rvest’s html_table-function, using the trace-function in R:

library(rvest)
match_dat = read_html("GET_18_19.html",encoding ="UTF-8")

matchList=match_dat%>%html_nodes("table")%>%.[[3]]%>%html_table()

trace(rvest:::html_table.xml_node, quote({ 
  values      <- lapply(lapply(cells, html_node, "a"), html_attr, name = "href")
  values[[1]] <- html_text(cells[[1]])
}), at = 14)

tmp=match_dat%>%html_nodes("table")%>%.[[3]]%>%html_table()
untrace(rvest:::html_table.xml_node)

matchList$Results=tmp$Results

The next step is simply to iterate over the URL links, adding the scraped data of each URL to a list. The actual scraping in each iteration is similar to what is done in my previous post. Below are the resulting aggregate data produced by iterating this list of match statistics.

The results