I'm always looking for ways to download data from the internet into R. Though I prefer to host and access plain-text data sets (CSV is my personal favourite) from GitHub (see my short paper on the topic) sometimes it's convenient to get data stored on Dropbox.
There has been a change in the way Dropbox URLs work and I just added some functionality to the repmis R package. So I though that I'ld write a quick post on how to directly download data from Dropbox into R.
The download method is different depending on whether or not your plain-text data is in a Dropbox Public folder or not.
Dropbox Public Folder
Dropbox is trying to do away with its public folders. New users need to actively create a Public folder. Regardless, sometimes you may want to download data from one. It used to be that files in Public folders were accessible through non-secure (http) URLs. It's easy to download these into R, just use the
read.table command, where the URL is the file name. Dropbox recently changed Public links to be secure (https) URLs. These cannot be accessed with
Instead you need can use the
source_data command from repmis:
FinURL <- paste0("https://dl.dropbox.com/u/12581470/code/Replicability_code/Fin_Trans_Replication_Journal/Data/public.fin.msm.model.csv
# Download data
FinRegulatorData <- repmis::source_data(FinURL,
sep = ",",
header = TRUE)
Non-Public Dropbox Folders
Getting data from a non-Public folder into R was a trickier. When you click on a Dropbox-based file's Share Link button you are taken to a secure URL, but not for the file itself. The Dropbox webpage you're taken to is filled with lots of other Dropbox information. I used to think that accessing a plain-text data file embedded in one of these webpages would require some tricky web scrapping. Luckily, today I ran across this blog post by Kay Cichini.
With some modifications I was able to easily create a function that could download data from non-Public Dropbox folders. The
source_DropboxData command is in the most recent version of repmis (v0.2.4) is the result. All you need to know is the name of the file you want to download and its Dropbox key. You can find both of these things in the URL for the webpage that appears when you click on
Share Link. Here is an example:
The file name is at the very end (
fin_research_note.csv) and the key is the string of letters and numbers in the middle (
exh4iobbm2p5p1v). Now we have all of the information we need for
FinDataFull <- repmis::source_DropboxData("fin_research_note.csv",
sep = ",",
header = TRUE)