使用RVest和特定错误收集数据

时间:2018-07-24 02:55:13

标签: r http rvest

我具有此数据抓取功能:

espn_team_stats <- function(team, side, season) {

 # Libraries
 library(tidyverse)
 library(rvest)

 # Using expand.grid() to run all combinations of the links above
 url_factors <- expand.grid(side = c("batting", "fielding"), 
             team = c("ari", "atl", "bal", "bos", "chc", "chw", "cws",
                     "cin", "cle", "det", "fla", "mia", "hou", "kan",
                     "laa", "lad", "mil", "min", "nyy", "nym", "oak",
                     "phi", "pit", "sd", "sf", "sea", "stl", "tb",
                     "tex", "tor", "was", "wsh"), 
             season = c(2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 
                       2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 
                       2018))

 # URL vectors (Need to put all three url vectors in dataframe)
 team_url <- paste0("http://www.espn.com/mlb/team/stats/", 
                    url_factors$side, "/_/name/",
                    url_factors$team, "/year/", 
                    url_factors$season, "/")
 team_url <- toString(team_url)

 # Building the data table
 team_page <- team_url %>%
   read_html %>%
   html_node("#my-players-table > div.mod-container.mod-table > 
           div.mod-content > table:nth-child(1)") %>%
   html_table(header = T)

 # Setting tables
 team_tables <- team_page
 team_tables$Year <- c(side, team, season)

 return(team_tables)
}

espn_team_stats(bal, batting, 2018)

我可以继续收到以下错误消息:

Error in open.connection(x, "rb") : HTTP error 414. # URLs are too long?
Called from: open.connection(x, "rb")

该函数将无法运行-我希望我的expand.grid()调用与将team_url解析和粘贴在一起的方式结合在一起时出现问题。

我的网址由以下网址组成的示例网址:

http://www.espn.com/mlb/team/stats/batting/_/name/ari/year/2017
http://www.espn.com/mlb/team/stats/fielding/_/name/ari/year/2017

1 个答案:

答案 0 :(得分:1)

由于要输入所需的值,因此无需使用网格:只需执行以下操作即可:

 espn_team_stats <- function(team, side, season) {

  team_url <- paste0("http://www.espn.com/mlb/team/stats/", side, "/_/name/", team, "/year/", season, "/")

    # Building the data table
  team_tables <- team_url %>%
    read_html %>%
    html_node("#my-players-table > div.mod-container.mod-table > 
              div.mod-content > table:nth-child(1)") %>%
    html_table(header =T)

  team_tables$Year <- season

  return(team_tables)
}

espn_team_stats("bal", "batting", 2018)