R:使用来自RSelenium的抓取数据创建数据框

问题描述 投票:4回答:1

我正在从谷歌图书中搜集一些信息(对NHL团队进行研究),我正在使用RSelenium开始:

library(tidyverse)
library(RSelenium) # using Docker
library(rvest)
library(httr)

remDr <- remoteDriver(port = 4445L, browserName = "chrome")
remDr$open()
remDr$navigate("https://books.google.com/")
books <- remDr$findElement(using = "css", "[name = 'q']")
books$sendKeysToElement(list("NHL teams", key = "enter"))
bookElem <- remDr$findElements(using = "xpath",
                           "//h3[@class = 'LC20lb']//parent::a")

links <- sapply(bookElem, function(bookElem){
  bookElem$getElementAttribute("href")
})

以上导航到正确的页面并搜索“NHL团队”。但有一点需要注意的是,其中一些书籍有一个“预览”页面,为了得到肉(标题,作者等),必须在“关于这本书”上进一步点击:

for(link in links) {
  remDr$navigate(link)

  # If statement to get past book previews
  if (str_detect(link, "frontcover")) {

    # Finding elements for "About this book"
    link2 <- remDr$findElements(using = 'xpath', 
                                '//a[@id="sidebar-atb-link" and span[.="About this book"]]')

    # Clicking on the "About this book" links
    link2_about <- sapply(link2, function(link2){
      link2$getElementAttribute('href') 
    })

    duh <- map(link2_about, read_html)

    # NHL book title, author
    nhl_title <- duh %>% 
      map(html_nodes, '#bookinfo > h1 > span.fn > span') %>% 
      map_chr(html_text) %>% 
      print()

    author1 <- duh %>% 
      map(html_nodes, '#bookinfo div:nth-child(1) span') %>% 
      map_chr(html_text) %>% 
      print()

    test_df <- cbind(nhl_title, author1) # ONLY binds the last book/author
    print(test_df)

  } else {          
    print("lol you thought this would work?") # haven't built this part out yet             
  }
} 

我对map的使用打印出单个标题/作者,我无法弄清楚如何将它们放入数据帧。每次我使用tibble()map_dfr()我都会收到错误。上面的for循环列出了标题然后是作者,但没有把任何东西放在一起。如何将所有这些绑定到一个框架中?

r rvest rselenium
1个回答
2
投票

答案结果很简单。我只需要在for循环上面添加一个空白列表,然后在循环内添加它。例如,

blank_list <- list()

for(link in links) {
....

  blank_list[[link]] <- tibble(nhl_title, author1)
  wow <- bind_rows(blank_list) 
  print(wow)

}

不要使用do.call()或其他选项,bind_rows()比其他选项更快。

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