Downloading a .csv through a .jsp url with variable parameters - R code or package?

Something like this should work, only Sept has 30 days, not 31:
files <- seq(as.Date('2008-09-30'), by = '1 day', length = 250)
input <- paste(".....jsp?y="
+             , format(files, "%Y")
+             , "&m="
+             , format(files, "%m")
+             , "&d="
+             , format(files, "%d")
+             , sep = ""
+             )
head(input)
[1] ".....jsp?y=2008&m=09&d=30" ".....jsp?y=2008&m=10&d=01"
[3] ".....jsp?y=2008&m=10&d=02" ".....jsp?y=2008&m=10&d=03"
[5] ".....jsp?y=2008&m=10&d=04" ".....jsp?y=2008&m=10&d=05"

So i realized putting this
raw.untr <- as.data.frame(read.csv(file='.......jsp?y=2008&m=09&d=30',
header = TRUE, as.is = TRUE))

reads the file prefectly, so i was wondering how can i create a set of
dataframes each with observations for one day (say for 3 years with 250 days
of data each year = 750 datasets) ? And in each loop of a cycle the text
string in the url would change to reflect the new date, say from
y=2008&m=09&d=30 to y=2008&m=09&d=31?

Any help would be great, i somewhat expected more of a reaction given how
vibrant R community is,

Arsenio

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Downloading a .csv through a .jsp url with variable parameters - R code or package?

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