我想从一个网站上抓取一系列表格，当我在浏览器中点击这些表格时，这些表格的URL不会改变。每个表格对应一个唯一的日期。默认表格是与今天的日期相对应的表格。我可以在浏览器中滚动浏览过去的日期，但在R.中似乎找不到这样做的方法
使用library(rvest)，这段代码将可靠地下载对应于今天日期的表(我只对三个表中的第一个感兴趣(。
webad <- "https://official.nba.com/referee-assignments/"
off <- webad %>%
read_html() %>%
html_table()
off <- off[[1]]
我如何才能下载对应于例如"；2022-10-04"；，至"；2022-10-06"；，还是昨天？
我试图通过识别表所在的节点来完成它，希望我可以操纵它来反映之前的日期。但是，以下表格与上表相同：
webad <- "https://official.nba.com/referee-assignments/"
off <- webad %>%
read_html() %>%
html_nodes("#main > div > section:nth-child(1) > article > div > div.dayContent > div > table") %>%
html_table()
off <- off[[1]]
在浏览器中滚动浏览过去的日期，我在html中识别出了引用前一日期的各个位置；但我似乎无法将其从R中更改，但我只能下载表格来反映一个更改：
webad %>%
read_html() %>%
html_nodes("#main > div > section:nth-child(1) > article > header > div")
我对html_form()、follow_link()和set_values()也做了一些改动，但都无济于事。
有没有一种好的方法可以在R中导航这个特定的URL？
您可以考虑以下方法：
library(RSelenium)
library(rvest)
port <- as.integer(4444L + rpois(lambda = 1000, 1))
rd <- rsDriver(chromever = "105.0.5195.52", browser = "chrome", port = port)
remDr <- rd$client
remDr$open()
url <- "https://official.nba.com/referee-assignments/"
remDr$navigate(url)
web_Obj_Date <- remDr$findElement("css selector", "#ref-filters-menu > li > div > button")
web_Obj_Date$clickElement()
web_Obj_Date_Input <- remDr$findElement("id", 'ref-date')
web_Obj_Date_Input$clearElement()
web_Obj_Date_Input$sendKeysToElement(list("2022-10-05"))
web_Obj_Date_Input$doubleclick()
web_Obj_Date <- remDr$findElement("css selector", "#ref-filters-menu > li > div > button")
web_Obj_Date$clickElement()
web_Obj_Go_Button <- remDr$findElement("css selector", "#date-filter")
web_Obj_Go_Button$submitElement()
html_Content <- remDr$getPageSource()[[1]]
read_html(html_Content) %>% html_table()
[[1]]
# A tibble: 5 x 5
Game `Official 1` `Official 2` `Official 3` Alternate
<chr> <chr> <chr> <chr> <lgl>
1 Indiana @ Charlotte John Goble (#10) Lauren Holtkamp (#7) Phenizee Ransom (#70) NA
2 Cleveland @ Philadelphia Marc Davis (#8) Jacyn Goble (#68) Tyler Mirkovich (#97) NA
3 Toronto @ Boston Josh Tiven (#58) Matt Boland (#18) Intae hwang (#96) NA
4 Dallas @ Oklahoma City Courtney Kirkland (#61) Mitchell Ervin (#27) Cheryl Flores (#91) NA
5 Phoenix @ L.A. Lakers Bill Kennedy (#55) Rodney Mott (#71) Jenna Reneau (#93) NA
[[2]]
# A tibble: 0 x 5
# ... with 5 variables: Game <lgl>, Official 1 <lgl>, Official 2 <lgl>, Official 3 <lgl>, Alternate <lgl>
# i Use `colnames()` to see all variable names
[[3]]
# A tibble: 0 x 5
# ... with 5 variables: Game <lgl>, Official 1 <lgl>, Official 2 <lgl>, Official 3 <lgl>, Alternate <lgl>
# i Use `colnames()` to see all variable names
[[4]]
# A tibble: 6 x 7
S M T W T F S
<int> <int> <int> <int> <int> <int> <int>
1 NA NA NA NA NA NA 1
2 2 3 4 5 6 7 8
3 9 10 11 12 13 14 15
4 16 17 18 19 20 21 22
5 23 24 25 26 27 28 29
6 30 31 NA NA NA NA NA
这里有另一种可以考虑的方法：
library(RDCOMClient)
library(rvest)
url <- "https://official.nba.com/referee-assignments/"
IEApp <- COMCreate("InternetExplorer.Application")
IEApp[['Visible']] <- TRUE
IEApp$Navigate(url)
Sys.sleep(5)
doc <- IEApp$Document()
clickEvent <- doc$createEvent("MouseEvent")
clickEvent$initEvent("click", TRUE, FALSE)
web_Obj_Date <- doc$querySelector("#ref-filters-menu > li > div > button")
web_Obj_Date$dispatchEvent(clickEvent)
web_Obj_Date_Input <- doc$GetElementById('ref-date')
web_Obj_Date_Input[["Value"]] <- "2022-10-05"
web_Obj_Go_Button <- doc$querySelector("#date-filter")
web_Obj_Go_Button$dispatchEvent(clickEvent)
html_Content <- doc$Body()$innerHTML()
read_html(html_Content) %>% html_table()
[[1]]
# A tibble: 5 x 5
Game `Official 1` `Official 2` `Official 3` Alternate
<chr> <chr> <chr> <chr> <lgl>
1 Indiana @ Charlotte John Goble (#10) Lauren Holtkamp (#7) Phenizee Ransom (#70) NA
2 Cleveland @ Philadelphia Marc Davis (#8) Jacyn Goble (#68) Tyler Mirkovich (#97) NA
3 Toronto @ Boston Josh Tiven (#58) Matt Boland (#18) Intae hwang (#96) NA
4 Dallas @ Oklahoma City Courtney Kirkland (#61) Mitchell Ervin (#27) Cheryl Flores (#91) NA
5 Phoenix @ L.A. Lakers Bill Kennedy (#55) Rodney Mott (#71) Jenna Reneau (#93) NA
[[2]]
# A tibble: 8 x 7
Game `Official 1` `Official 2` `Official 3` Alternate `` ``
<chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 "Game" "Official 1" "Official 2" "Official 3" "Alternate" NA NA
2 "S" "M" "T" "W" "T" "F" "S"
3 "" "" "" "" "" "" "1"
4 "2" "3" "4" "5" "6" "7" "8"
5 "9" "10" "11" "12" "13" "14" "15"
6 "16" "17" "18" "19" "20" "21" "22"
7 "23" "24" "25" "26" "27" "28" "29"
8 "30" "31" "" "" "" "" ""
[[3]]
# A tibble: 7 x 7
Game `Official 1` `Official 2` `Official 3` Alternate `` ``
<chr> <chr> <chr> <chr> <chr> <chr> <chr>
1 "S" "M" "T" "W" "T" "F" "S"
2 "" "" "" "" "" "" "1"
3 "2" "3" "4" "5" "6" "7" "8"
4 "9" "10" "11" "12" "13" "14" "15"
5 "16" "17" "18" "19" "20" "21" "22"
6 "23" "24" "25" "26" "27" "28" "29"
7 "30" "31" "" "" "" "" ""
[[4]]
# A tibble: 6 x 7
S M T W T F S
<int> <int> <int> <int> <int> <int> <int>
1 NA NA NA NA NA NA 1
2 2 3 4 5 6 7 8
3 9 10 11 12 13 14 15
4 16 17 18 19 20 21 22
5 23 24 25 26 27 28 29
6 30 31 NA NA NA NA NA
如果安装Docker软件(请参阅https://docs.docker.com/engine/install/)，您可以考虑使用firefox的以下方法：
library(RSelenium)
library(rvest)
shell('docker run -d -p 4445:4444 selenium/standalone-firefox')
remDr <- remoteDriver(remoteServerAddr = "localhost", port = 4445L, browserName = "firefox")
remDr$open()
url <- "https://official.nba.com/referee-assignments/"
remDr$navigate(url)
web_Obj_Date <- remDr$findElement("css selector", "#ref-filters-menu > li > div > button")
web_Obj_Date$clickElement()
web_Obj_Date_Input <- remDr$findElement("id", 'ref-date')
web_Obj_Date_Input$clearElement()
web_Obj_Date_Input$sendKeysToElement(list("2022-10-05"))
web_Obj_Date_Input$doubleclick()
web_Obj_Date <- remDr$findElement("css selector", "#ref-filters-menu > li > div > button")
web_Obj_Date$clickElement()
web_Obj_Go_Button <- remDr$findElement("css selector", "#date-filter")
web_Obj_Go_Button$submitElement()
html_Content <- remDr$getPageSource()[[1]]
read_html(html_Content) %>% html_table()
[[1]]
# A tibble: 5 x 5
Game `Official 1` `Official 2` `Official 3` Alternate
<chr> <chr> <chr> <chr> <lgl>
1 Indiana @ Charlotte John Goble (#10) Lauren Holtkamp (#7) Phenizee Ransom (#70) NA
2 Cleveland @ Philadelphia Marc Davis (#8) Jacyn Goble (#68) Tyler Mirkovich (#97) NA
3 Toronto @ Boston Josh Tiven (#58) Matt Boland (#18) Intae hwang (#96) NA
4 Dallas @ Oklahoma City Courtney Kirkland (#61) Mitchell Ervin (#27) Cheryl Flores (#91) NA
5 Phoenix @ L.A. Lakers Bill Kennedy (#55) Rodney Mott (#71) Jenna Reneau (#93) NA
[[2]]
# A tibble: 0 x 5
# ... with 5 variables: Game <lgl>, Official 1 <lgl>, Official 2 <lgl>, Official 3 <lgl>, Alternate <lgl>
# i Use `colnames()` to see all variable names
[[3]]
# A tibble: 0 x 5
# ... with 5 variables: Game <lgl>, Official 1 <lgl>, Official 2 <lgl>, Official 3 <lgl>, Alternate <lgl>
# i Use `colnames()` to see all variable names
[[4]]
# A tibble: 6 x 7
S M T W T F S
<int> <int> <int> <int> <int> <int> <int>
1 NA NA NA NA NA NA 1
2 2 3 4 5 6 7 8
3 9 10 11 12 13 14 15
4 16 17 18 19 20 21 22
5 23 24 25 26 27 28 29
6 30 31 NA NA NA NA NA