我已经编写了一个函数来从谷歌获取和解析给定股票代码的新闻数据,但我确信有一些方法可以改进它。对于初学者,我的函数返回一个 GMT 时区的对象,而不是用户当前的时区,如果传递的数字大于 299(可能是因为 google 只返回每只股票 300 个故事),它就会失败。这在某种程度上是对我自己关于堆栈溢出的问题的回应,并且很大程度上依赖于这篇博文。
tl;博士:我该如何改进这个功能?
getNews <- function(symbol, number){
# Warn about length
if (number>300) {
warning("May only get 300 stories from google")
}
# load libraries
require(XML); require(plyr); require(stringr); require(lubridate);
require(xts); require(RDSTK)
# construct url to news feed rss and encode it correctly
url.b1 = 'http://www.google.com/finance/company_news?q='
url = paste(url.b1, symbol, '&output=rss', "&start=", 1,
"&num=", number, sep = '')
url = URLencode(url)
# parse xml tree, get item nodes, extract data and return data frame
doc = xmlTreeParse(url, useInternalNodes = TRUE)
nodes = getNodeSet(doc, "//item")
mydf = ldply(nodes, as.data.frame(xmlToList))
# clean up names of data frame
names(mydf) = str_replace_all(names(mydf), "value\\.", "")
# convert pubDate to date-time object and convert time zone
pubDate = strptime(mydf$pubDate,
format = '%a, %d %b %Y %H:%M:%S', tz = 'GMT')
pubDate = with_tz(pubDate, tz = 'America/New_york')
mydf$pubDate = NULL
#Parse the description field
mydf$description <- as.character(mydf$description)
parseDescription <- function(x) {
out <- html2text(x)$text
out <- strsplit(out,'\n|--')[[1]]
#Find Lead
TextLength <- sapply(out,nchar)
Lead <- out[TextLength==max(TextLength)]
#Find Site
Site <- out[3]
#Return cleaned fields
out <- c(Site,Lead)
names(out) <- c('Site','Lead')
out
}
description <- lapply(mydf$description,parseDescription)
description <- do.call(rbind,description)
mydf <- cbind(mydf,description)
#Format as XTS object
mydf = xts(mydf,order.by=pubDate)
# drop Extra attributes that we don't use yet
mydf$guid.text = mydf$guid..attrs = mydf$description = mydf$link = NULL
return(mydf)
}