RVest刮擦NBA统计数据表 [英] Scraping table of NBA stats with rvest

问题描述

我想用RVest刮擦NBA球队的数据表，我尝试使用：

I'd like to scrape a table of NBA team stats with rvest, I've tried using:

1. the表格元素

1. the table element

library(rvest)

url_nba <- "http://stats.nba.com/teams/advanced/#!?sort=TEAM_NAME&dir=-1"

team_stats <- url_nba %>% read_html %>% html_nodes('table') %>% html_table

xpath（通过Google Chrome浏览器检查）

the xpath (via google chrome inspect)

team_stats <- url_nba %>% 
      read_html %>%
      html_nodes(xpath="/html/body/main/div[2]/div/div[2]/div/div/nba-stat-table/div[1]/div[1]/table") %>%
      html_table

css选择器（通过mozilla inspect）：

the css selector (via mozilla inspect):

team_stats <- url_nba %>% 
      read_html %>%
      html_nodes(".nba-stat-table__overflow > table:nth-child(1)") %>%
      html_table

但是没有运气。任何帮助将不胜感激。

but with no luck. Any help would be greatly appreciated.

推荐答案

此问题与以下问题非常相似：如何在R中选择JSON数据的特定部分？

This question is very similar to this one: How to select a particular section of JSON Data in R?

您请求的数据未存储在html代码中，因此使用rvest失败。所请求的数据存储为XHR文件，可以直接访问：

The data you are requesting is not stored in the html code, thus the failures using rvest. The requested data is stored as a XHR file which and can be accessed directly:

library(httr)
library(jsonlite)

nba<-GET('http://stats.nba.com/stats/leaguedashteamstats?Conference=&DateFrom=&DateTo=&Division=&GameScope=&GameSegment=&LastNGames=0&LeagueID=00&Location=&MeasureType=Advanced&Month=0&OpponentTeamID=0&Outcome=&PORound=0&PaceAdjust=N&PerMode=PerGame&Period=0&PlayerExperience=&PlayerPosition=&PlusMinus=N&Rank=N&Season=2016-17&SeasonSegment=&SeasonType=Regular+Season&ShotClockRange=&StarterBench=&TeamID=0&VsConference=&VsDivision=' )

将数据加载到nba变量后，使用httr和jsonlite清理数据：

Once the data is loaded into a the nba variable, using httr and jsonlite to clean-up the data:

#access the data
out<- content(nba, as="text") %>% fromJSON(flatten=FALSE) 

#convert into dataframe.  
#  str(out) to determine the structure
df<-data.frame(out$resultSets$rowSet)
names(df)<-out$resultSets$headers[[1]]

我强烈建议阅读我上面链接的问题的答案。

I highly recommend reading the answer to the question which I linked above.

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