R 在使用 rvest 抓取 table 时将 <p> 元素的 XML 节点集转换为数据帧
R converting XML nodesets of <p> elements into dataframe when scraping table with rvest
我们正在从 https://nbpa.com/agents/directory
中提取联系信息。页面上没有table,而是<div>s
,里面有<p>
个元素:
我们可以通过以下方式获取此元素:
agents_url <- "https://nbpa.com/agents/directory"
agents_page <- agents_url %>% read_html()
agents_page_elements <- agents_page %>% html_nodes('div.accordion-inner')
agents_page_elements[1]
agents_page_elements[1] %>% html_nodes('p')
我们希望将其转换为 1 行数据框:
Cell Email Professional Credentials:
(123) 456-7890 firstlast@email.com "NBA Certified Player Agent..."
这可以吗?这个网络抓取的挑战性部分是网站上的每个 accordion-inner div 都有 不同的 p 元素。有些有 Cell: 和 Email:,其他有 Education:、Address: 等。它因 accordion-inner 而异。如果我们可以将每个 individual 节点变成一个 1 行数据帧,然后我们可以使用 plyr::rbind.fill()
.
将所有数据帧绑定在一起
我们得到后就可以用read.dcf
了text
new <- agents_page_elements[1] %>%
html_nodes('p') %>%
html_text()
as.data.frame(read.dcf(textConnection(new)))
-输出
Cell Email Professional Credentials
1 (240) 668-4241 barry.aberdeen@tributesports.com NBA Certified Player Agent, FIBA Certified Player Agent, WNBA Certified Player Agent
对于多个元素,使用map
library(purrr)
library(dplyr)
library(stringr)
out <- map_dfr(agents_page_elements, ~ {
new <- .x %>%
html_nodes('p') %>%
html_text() %>%
str_replace_all("\n\s*", " ")
if(length(new) > 0) {
as.data.frame(read.dcf(textConnection(new)))
} else NULL
})
-输出
> dim(out)
[1] 455 9
> head(out, 2)
Cell Email Professional Credentials Title
1 (240) 668-4241 barry.aberdeen@tributesports.com NBA Certified Player Agent, FIBA Certified Player Agent, WNBA Certified Player Agent <NA>
2 (281) 773-7339 <NA> Texas Bar No. 24050197|Wisconsin Bar No. 1045470 Attorney
Company Name Education Address Office International
1 <NA> <NA> <NA> <NA> <NA>
2 Adams & Associates, LLC University of Southern California B.S. |University of Houston - M.B.A |University of Wisconsin - J.D. <NA> <NA> <NA>
我们正在从 https://nbpa.com/agents/directory
中提取联系信息。页面上没有table,而是<div>s
,里面有<p>
个元素:
我们可以通过以下方式获取此元素:
agents_url <- "https://nbpa.com/agents/directory"
agents_page <- agents_url %>% read_html()
agents_page_elements <- agents_page %>% html_nodes('div.accordion-inner')
agents_page_elements[1]
agents_page_elements[1] %>% html_nodes('p')
我们希望将其转换为 1 行数据框:
Cell Email Professional Credentials:
(123) 456-7890 firstlast@email.com "NBA Certified Player Agent..."
这可以吗?这个网络抓取的挑战性部分是网站上的每个 accordion-inner div 都有 不同的 p 元素。有些有 Cell: 和 Email:,其他有 Education:、Address: 等。它因 accordion-inner 而异。如果我们可以将每个 individual 节点变成一个 1 行数据帧,然后我们可以使用 plyr::rbind.fill()
.
我们得到后就可以用read.dcf
了text
new <- agents_page_elements[1] %>%
html_nodes('p') %>%
html_text()
as.data.frame(read.dcf(textConnection(new)))
-输出
Cell Email Professional Credentials
1 (240) 668-4241 barry.aberdeen@tributesports.com NBA Certified Player Agent, FIBA Certified Player Agent, WNBA Certified Player Agent
对于多个元素,使用map
library(purrr)
library(dplyr)
library(stringr)
out <- map_dfr(agents_page_elements, ~ {
new <- .x %>%
html_nodes('p') %>%
html_text() %>%
str_replace_all("\n\s*", " ")
if(length(new) > 0) {
as.data.frame(read.dcf(textConnection(new)))
} else NULL
})
-输出
> dim(out)
[1] 455 9
> head(out, 2)
Cell Email Professional Credentials Title
1 (240) 668-4241 barry.aberdeen@tributesports.com NBA Certified Player Agent, FIBA Certified Player Agent, WNBA Certified Player Agent <NA>
2 (281) 773-7339 <NA> Texas Bar No. 24050197|Wisconsin Bar No. 1045470 Attorney
Company Name Education Address Office International
1 <NA> <NA> <NA> <NA> <NA>
2 Adams & Associates, LLC University of Southern California B.S. |University of Houston - M.B.A |University of Wisconsin - J.D. <NA> <NA> <NA>