R语言抓取链家网数据代码（附数据集下载）

所属分类：Python R语言

今天看到有人用Python爬取了链家网成都站的楼盘信息，我尝试用R做了同样的事情，具体代码如下：

library(rvest)
url0 <- 'http://cd.fang.lianjia.com/loupan/'
name=area=price=type=address=status=NULL
for(i in 1:10)
{
url <- paste(url0,"pg",i,sep = '')
web <- read_html(url)
name <- c(name,web %>% html_nodes('div.info-panel') %>%
html_nodes('a') %>% html_text())
address <- c(address,web %>% html_nodes('div.info-panel') %>%
html_nodes('div.where') %>% html_nodes('span.region') %>%
html_text())
b=web %>% html_nodes('div.info-panel') %>% html_nodes('div.area')
are=rep(0,length(b))
for (i in 1:length(b))
{
if (str_length(b[i]) > 60){
are[i] = b[i]%>% html_nodes('span') %>% html_text()
}else{
are[i] = 0
}
}
area=c(area,ifelse(are=='0','0',unlist(str_extract(are,'[0-9]+~[0-9]+|[0-9]+'))))
a <- web %>% html_nodes('div.info-panel') %>% html_nodes('div.average')
price=rep(0,length(a))
for (i in 1:length(a))
{
if (str_length(a[i]) > 100){
price[i] = a[i]%>% html_nodes('span.num') %>% html_text()
}else{
price[i] = 0
}
}
price=c(price,price)
type <-c(type, web %>% html_nodes('div.info-panel') %>%
html_nodes('div.type') %>% html_nodes('span.live') %>% html_text())
status <-c(status, web %>% html_nodes('div.info-panel') %>%
html_nodes('div.type') %>% html_nodes('span.onsold') %>% html_text())
}
data=data.frame(name,address,area,price=as.numeric(price),type,status)
DT::datatable(data)