需要使用 R 中的 rvest 提取以下没有明确 xpath 的文本

Need to extract following texts which doesn't have a clear xpath with rvest in R

我有几个要抓取的网页(下面的html示例)。在我的示例中,我想获取公司名称、位置、薪水、发布日期,所以我获取公司名称的方法是这样的:

library(xml2)
library(rvest)
library(tidyverse)

url <- "https://joblist.ala.org/job/library-director/53812381/"
page <- xml2::read_html(url)

company_name <- page %>% 
  rvest::html_nodes("li") %>%
  rvest::html_nodes(xpath = '//*[@class="clearfix"]') %>%
  #rvest::html_nodes("div")%>%
  rvest::html_nodes("span") %>%
  #rvest::html_name()%>%
  rvest::html_text()%>%
  stringr::str_replace_all("[\r\n\t]" , "")%>%
  stringr::str_trim()

然而这会产生:

# [1] "Description"                                                    
# [2] "We are looking for a Skilled, Dynamic, and Collaborative Leader"
# [3] "Mobile Public Library"                                          
# [4] ""                                                               
# [5] "Mobile, Alabama, United States"                                 
# [6] "53812381"                                                       
# [7] "April 21, 2020"                                                 
# [8] "Library Director"                                               
# [9] "Mobile Public Library"                                          
# [10] "Public Library"                                                 
# [11] "Administration/Management"                                      
# [12] "No"                                                             
# [13] "Full-Time"                                                      
# [14] "Indefinite"                                                     
# [15] "Master's Degree"                                                
# [16] "5-7 Years"                                                      
# [17] "0-10%"                                                          
# [18] "Jobs You May Like"   

我以为我可以通过索引得到我想要的东西,但是当我移动到下一个站点时,一些元素的位置发生了变化。喜欢这里:

url <- "https://joblist.ala.org/job/ceo-library-director-orange-county-library-system/53673222/"
page <- xml2::read_html(url)

company_name <- page %>% 
  rvest::html_nodes("li") %>%
  rvest::html_nodes(xpath = '//*[@class="clearfix"]') %>%
  #rvest::html_nodes("div")%>%
  rvest::html_nodes("span") %>%
  #rvest::html_name()%>%
  rvest::html_text()%>%
  stringr::str_replace_all("[\r\n\t]" , "")%>%
  stringr::str_trim()

产量:

# [1] "Description"                                           
# [2] "Requirements"                                          
# [3] "Orange County Library System"                          
# [4] ""                                                      
# [5] "Orlando, Florida, 32801, United States"                
# [6] "53673222"                                              
# [7] "April 1, 2020"                                         
# [8] "CEO / Library Director -  Orange County Library System"
# [9] "Orange County Library System"                          
# [10] "Public Library"                                        
# [11] "Administration/Management"                             
# [12] "No"                                                    
# [13] "Full-time"                                             
# [14] "Indefinite"                                            
# [15] "Master's Degree"                                       
# [16] "Over 10 Years"                                         
# [17] "10-25%"                                                
# [18] "1,882.00 - 0,000.00 (Yearly Salary)"             
# [19] "Jobs You May Like"  

控制台检查器如下所示:

<ul>
  <li class="clearfix">
  <div>Location: </div>
  <span class="">

  Orlando, Florida, 32801, United States 

  </span>
  </li>

  <li class="clearfix">
  <div>Job ID: </div>
  <span class="">53673222</span>
  </li>                           
  <li class="clearfix">
  <div>Posted: </div>
  <span class="">April 1, 2020</span>
  </li>


  <li class="clearfix">
  <div>Position Title: </div>
  <span class="">CEO / Library Director -  Orange County Library System</span>
  </li>

  <li class="clearfix">
  <div>Company Name: </div>
  <span class="">Orange County Library System</span>
  </li>

  <li class="clearfix">
  <div>Library or Company Type: </div>
  <span class="">Public Library</span>
  </li>

  <li class="clearfix">
  <div>Job Category: </div>
  <span class="">Administration/Management</span>
  </li>

  <li class="clearfix">
  <div>Entry Level: </div>
  <span class="">No</span>
  </li>

  <li class="clearfix">

  <div>Job Type: </div>
  <span class="break-all">Full-time</span>
  </li>

  <li class="clearfix">

  <div>Job Duration: </div>
  <span class="break-all">Indefinite</span>
  </li>

  <li class="clearfix">

  <div>Min Education: </div>
  <span class="break-all">Master's Degree</span>
  </li>

   <li class="clearfix">

   <div>Min Experience: </div>
   <span class="break-all">Over 10 Years</span>
   </li>

   <li class="clearfix">

   <div>Required Travel: </div>
   <span class="break-all">10-25%</span>
   </li>

   <li class="clearfix">

   <div>Salary: </div>
   <span class="break-all">1,882.00 - 0,000.00 (Yearly Salary)</span>
   </li>


</ul>

我想知道是否有人可以通过展示如何获取公司名称来帮助我,我可以为其他人复制它。不适用于 HTML。谢谢!

由于没有针对每个类别的特定 类,我们可能会使用正则表达式来提取信息。

library(rvest)

url <- "https://joblist.ala.org/job/library-director/53812381/"
page <- xml2::read_html(URL)

page %>% 
  html_nodes("li") %>%
  html_nodes(xpath = '//*[@class="clearfix"]') %>%
  html_text() %>%
  gsub('[\r\n\t]', '', .) %>%
  grep('Company Name:', ., value = TRUE) %>%
  sub('Company Name:', '', .) %>% .[2]

#[1] " Mobile Public Library"

您可以用同样的方法从其他类别中提取信息。例如,使用 'Position Title:'

page %>% 
  html_nodes("li") %>%
  html_nodes(xpath = '//*[@class="clearfix"]') %>%
  html_text() %>%
  gsub('[\r\n\t]', '', .) %>%
  grep('Position Title:', ., value = TRUE) %>%
  sub('Position Title:', '', .) %>% .[2]

#[1] " Library Director"

或许,您可以只编写一个函数并将 "Company Name:""Position Title:" 之类的字符串传递给它。