rdomains VS worldfootballR

If you want ideas for categories, have a look at the DMOZ category tree; looking for "electronics" plus some editing gave me this tree:

https://github.com/themains/rdomains/blob/master/data-raw/dmoz/ has the full DMOZ tree, but it's about 5-6 years old.

If you want ideas for categories, have a look at the DMOZ category tree; it's huge but you can mess around with it. The important thing is, you're not being graded. What matters is whether this helps or hinders you when keeping track of your stuff -- if it doesn't, dump the part that fails and replace it.

I found this the other day though, where there is an R package with what looks like a good amount of data. So, when I'm ready I might explore this as this might be the best approach to pull in a lot more players more easily.

https://jaseziv.github.io/worldfootballR/ works really well with publicly available data and does most of the data scraping for you, but if you wanted to access paid stuff then you’ll need something else.

Data is from FotMob and grabbed via worldfootballR. Highly recommend to anyone looking to play around with soccer data, it's super well documented (as is everything in SportsDataverse). It doesn't have player location and all the advanced stuff but has a lot of rich shot data + match stats/events. worldfootballR has a bunch of fb-ref, understat, and transfermarket data as well.

There’s an R package called worldfootballR that can be used to extract data from FBref, Transfermarkt, Understat and FotMob. Most of those sites don’t carry much data about Scottish football but FotMob have some really useful shot location data with xG and xGOT values. Here’s the link to the package: https://github.com/JaseZiv/worldfootballR

The worldfootballr R package can help you download from some of the big ones.

Source:WorldfootballR package

Data extracted using worldfootballR