Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
520 views
in Technique[技术] by (71.8m points)

r - Rvest: Scrape multiple URLs

I am trying to scrape some IMDB data looping through a list of URLs. Unfortunately my output isn't exactly what I hoped for, never mind storing it in a dataframe.

I get URLs with

library(rvest)
topmovies <- read_html("http://www.imdb.com/chart/top")
links <- top250 %>%
  html_nodes(".titleColumn") %>%
  html_nodes("a") %>%
  html_attr("href")
links_full <- paste("http://imdb.com",links,sep="")
links_full_test <- links_full[1:10]

and then I could get content with

lapply(links_full_test, . %>% read_html() %>% html_nodes("h1") %>% html_text())

but it is a nested list and I don't know how to get it into a proper data.frame in R. Similarly, if I wanted to get another attribute, say

%>% read_html() %>% html_nodes("strong span") %>% html_text()

to retrieve the IMDB rating, I get the same nested-list output and most importantly I have to do read_html() twice ... which takes a lot of time. Is there a better way to do this? I guess for-loops, but I can't get it to work that way :(

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

Here's one approach using purrr and rvest. The key idea is to save the parsed page, and then extract the bits you're interested in.

library(rvest)
library(purrr)

topmovies <- read_html("http://www.imdb.com/chart/top")
links <- topmovies %>%
  html_nodes(".titleColumn") %>%
  html_nodes("a") %>%
  html_attr("href") %>% 
  xml2::url_absolute("http://imdb.com") %>% 
  .[1:5] # for testing

pages <- links %>% map(read_html)

title <- pages %>% 
  map_chr(. %>% 
    html_nodes("h1") %>% 
    html_text()
  )
rating <- pages %>% 
  map_dbl(. %>% 
    html_nodes("strong span") %>% 
    html_text() %>% 
    as.numeric()
  )

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...