How to retrieve data from Morningstar

morningstar.R

require(RCurl)
require(jsonlite)

myticker<-"FB"
url.histprice<-function(x){ return(paste0("http://globalquote.morningstar.com/globalcomponent/RealtimeHistoricalStockData.ashx?ticker=",x,"&showVol=true&dtype=his&f=d&curry=USD&range=1900-1-1|2014-10-10&isD=true&isS=true&hasF=true&ProdCode=DIRECT"))}
url.keyratios<-function(x){return(paste0("http://financials.morningstar.com/ajax/exportKR2CSV.html?t=",x))}

#Retrieve historical prices
json.histprice<-getURL(url.histprice(myticker))
json.histprice<-sub("NaN","\"NA\"",json.histprice)
histprice <- fromJSON(json.histprice)
df.prices<-as.data.frame(histprice$PriceDataList$Datapoints)
df.prices$Volume<-histprice$VolumeList$Datapoints
df.prices$Date<-as.Date(histprice$PriceDataList$DateIndexs[[1]],origin="1899-12-30")
colnames(df.prices) <- c("Open","High","Low","Close", "Volume", "Date")

#Retrieve keyratios. Need to preprocess before reading as csv
str.keyratios<-getURL(url.keyratios(myticker))
kr.fin <- sub(".*Financials\n(.*)Key Ratios -> Profitability.*","\\1",str.keyratios)
kr.margins <- sub(".*Key Ratios -> Profitability\n(.*)Profitability.*","\\1",str.keyratios)
kr.profit <- sub(".*Key Ratios -> Profitability.*(Profitability.*)Key Ratios -> Growth.*","\\1",str.keyratios)
kr.growth<-sub(".*Key Ratios -> Growth\n(.*)Key Ratios -> Cash Flow.*","\\1",str.keyratios)
kr.cashflow<-sub(".*Key Ratios -> Cash Flow\n(.*)Key Ratios -> Financial Health.*","\\1",str.keyratios)
kr.balance<-sub(".*Key Ratios -> Financial Health\n(Balance Sheet Items.*)Liquidity/Financial Health.*","\\1",str.keyratios)
kr.liquid<-sub(".*Key Ratios -> Financial Health.*(Liquidity/Financial Health.*)Key Ratios -> Efficiency Ratios.*","\\1",str.keyratios)
kr.eff<-sub(".*Key Ratios -> Efficiency Ratios\n(.*)","\\1",str.keyratios)
df.fin <-read.csv(textConnection(kr.fin))
df.margins <-read.csv(textConnection(kr.margins))
df.profit <-read.csv(textConnection(kr.profit))
df.growth <-read.csv(textConnection(kr.growth))
df.cashflow <-read.csv(textConnection(kr.cashflow))
df.balance <-read.csv(textConnection(kr.balance))
df.liquid<-read.csv(textConnection(kr.liquid))
df.eff<-read.csv(textConnection(kr.eff))

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