I am struggling to find where the data is contained when I inspect the webpage. I have the following code where the html_node argument does not have the correct entry
library(rvest)
url <- paste0("https://www.covers.com/sport/basketball/nba/teams/main/boston-celtics/2022-2023")
covers <- url %>% read_html %>% html_node('#div_schedule') %>% html_table()
I have tried all of the following #div_tab_content, #div_past_results, #div_tp_schedule`
These do not work, and I can't see any more IDs. When I inspect the webpage, I get the following error
Error in UseMethod("html_table") : no applicable method for
'html_table' applied to an object of class "xml_missing"
You can use html_table() on the entire HTML content and it will extract all tables it can find in a list.
library(rvest)
url <-
paste0(
"https://www.covers.com/sport/basketball/nba/teams/main/boston-celtics/2022-2023"
)
covers_tables <-
url %>%
read_html() %>%
html_table()
covers_tables
#> [[1]]
#> # A tibble: 21 × 5
#> Playoffs Playoffs Playoffs Playoffs Playoffs
#> <chr> <chr> <chr> <chr> <chr>
#> 1 Date VS Score ATS O/U
#> 2 May 29 MIA L 84-103 L -7.5 U 204
#> 3 May 27 @ MIA W 104-103 L -2 U 209
#> 4 May 25 MIA W 110-97 W -8.5 U 214.5
#> 5 May 23 @ MIA W 116-99 W 1 U 216
#> 6 May 21 @ MIA L 102-128 L -4.5 O 214
#> 7 May 19 MIA L 105-111 L -10 O 214.5
#> 8 May 17 MIA L 116-123 L -8.5 O 212
#> 9 May 14 PHI W 112-88 W -6 U 202.5
#> 10 May 11 @ PHI W 95-86 W -2.5 U 211
#> # ℹ 11 more rows
#>
#> [[2]]
#> # A tibble: 83 × 5
#> `Regular Season` `Regular Season` `Regular Season` `Regular Season`
#> <chr> <chr> <chr> <chr>
#> 1 Date VS Score ATS
#> 2 Apr 9 ATL W 120-114 W -4.5
#> 3 Apr 7 TOR W 121-102 W 1.5
#> 4 Apr 5 TOR W 97-93 W 2
#> 5 Apr 4 @ PHI L 101-103 W 3.5
#> 6 Mar 31 UTA W 122-114 L -13
#> 7 Mar 30 @ MIL W 140-99 W 2
#> 8 Mar 28 @ WAS L 111-130 L -10.5
#> 9 Mar 26 SA W 137-93 W -16.5
#> 10 Mar 24 IND W 120-95 W -11
#> # ℹ 73 more rows
#> # ℹ 1 more variable: `Regular Season` <chr>
#>
#> [[3]]
#> # A tibble: 5 × 5
#> `Pre Season` `Pre Season` `Pre Season` `Pre Season` `Pre Season`
#> <chr> <chr> <chr> <chr> <chr>
#> 1 Date "VS" Score ATS O/U
#> 2 Oct 14 "@ TOR\n \n … L 134-137 (… L -5 O 219
#> 3 Oct 7 "@ CHA\n \n … W 112-103 W -4.5 U 216
#> 4 Oct 5 "TOR" L 119-125 (… L -4 O 220.5
#> 5 Oct 2 "CHA" W 134-93 W -6 O 214.5
#>
#> [[4]]
#> # A tibble: 0 × 4
#> # ℹ 4 variables: Rank <lgl>, Leader <lgl>, L10 <lgl>, Units <lgl>