From e272d9249b4090b284933093b9ff009e950d9193 Mon Sep 17 00:00:00 2001 From: Daniel Redondo Date: Mon, 3 May 2021 19:09:20 +0200 Subject: [PATCH] v1.0.1 add support for XBox One and PC --- .gitignore | 2 + DESCRIPTION | 4 +- R/futbin_scrap.R | 11 +- R/futbin_search.R | 14 +- README.Rmd | 98 ++++--- README.html | 655 ------------------------------------------- README.md | 381 ++++++++++++------------- man/futbin_scrap.Rd | 4 +- man/futbin_search.Rd | 10 +- 9 files changed, 279 insertions(+), 900 deletions(-) delete mode 100644 README.html diff --git a/.gitignore b/.gitignore index 7b732e7..8449db9 100644 --- a/.gitignore +++ b/.gitignore @@ -3,3 +3,5 @@ .RData .Ruserdata .DS_Store + +README.html \ No newline at end of file diff --git a/DESCRIPTION b/DESCRIPTION index 87b5c9d..7e81c3c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: rfutbin Type: Package Title: Searchs FIFA Ultimate Team players to get stats and prices in Futbin -Version: 1.0.0 +Version: 1.0.1 Authors@R: person("Daniel", "Redondo-Sanchez", email = "danielredondosanchez@hotmail.com", role = c("aut", "cre")) Maintainer: Daniel Redondo Sánchez @@ -14,7 +14,7 @@ License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Depends: R (>= 3.5) -Imports: dplyr, rvest, magrittr, xml2, radarchart +Imports: dplyr, rvest, httr, magrittr, xml2, radarchart Suggests: URL: https://github.com/danielredondo/rfutbin/ BugReports: https://github.com/danielredondo/rfutbin/issues diff --git a/R/futbin_scrap.R b/R/futbin_scrap.R index 6a3c26b..da72bd6 100644 --- a/R/futbin_scrap.R +++ b/R/futbin_scrap.R @@ -5,6 +5,7 @@ #' @param url Futbin URL to web scrap. #' Futbin webpage (https://www.futbin.com/players) can be used to make customised filters, and then copy the URL here. #' All the players found in the URL (and the next pages) will be automatically detected and downloaded. +#' @param platform Platform to get the prices from. Default is `ps4`. Other options are `xone` (XBox One) and `pc`. #' @param sleep_time Time (in seconds) ellapsed between scraping one page and the next one. Please respect Futbin API. #' @param verbose Optional. To show additional verbose about webpage used and number of players found. #' @return A dataframe with all the players found at the URL. @@ -17,7 +18,7 @@ #' futbin_scrap(url = "https://www.futbin.com/players?page=1&nation=45&league=53&position=CB") #' } -futbin_scrap <- function(url, sleep_time = 5, verbose = TRUE) { +futbin_scrap <- function(url, platform = "ps4", sleep_time = 5, verbose = TRUE) { url_split <- strsplit(x = url, split = "page=1", fixed = TRUE) %>% unlist @@ -35,14 +36,18 @@ futbin_scrap <- function(url, sleep_time = 5, verbose = TRUE) { # Web scraping if (i == 1) { - tabla <- xml2::read_html(url_to_scrap) %>% + tabla <- httr::GET(url_to_scrap, + httr::set_cookies(platform = platform)) %>% + httr::content() %>% rvest::html_nodes(xpath = "//table") %>% magrittr::extract(1) %>% rvest::html_table() %>% magrittr::extract2(1) } else { Sys.sleep(sleep_time) - tabla.i <- xml2::read_html(url_to_scrap) %>% + tabla.i <- httr::GET(url_to_scrap, + httr::set_cookies(platform = platform)) %>% + httr::content() %>% rvest::html_nodes(xpath = "//table") %>% magrittr::extract(1) %>% rvest::html_table() %>% diff --git a/R/futbin_search.R b/R/futbin_search.R index 5e6a260..63aed74 100644 --- a/R/futbin_search.R +++ b/R/futbin_search.R @@ -4,6 +4,7 @@ #' @importFrom dplyr %>% #' @param name Optional. Vector with the names of the players. If not specified #' it will report the 30 highest-rated players of the game. +#' @param platform Platform to get the prices from. Default is `ps4`. Other options are `xone` (XBox One) and `pc`. #' @param version Optional. Version of the cards. Some options are "Rare", #' "Non-Rare", "IF" (In-Form), "SIF" (Second In-Form), ... #' @param verbose Optional. To show additional verbose about webpage used and number of players found. @@ -14,6 +15,12 @@ #' # Search for a player #' futbin_search(name = "Lionel Messi") #' +#' # Search for a player and get the PC price +#' futbin_search(name = "Lionel Messi", platform = "pc") +#' +#' # Search for a player and get the XBox One price +#' futbin_search(name = "Lionel Messi", platform = "xone") +#' #' # Search for more than one player #' futbin_search(name = c("Lionel Messi", "Cristiano Ronaldo")) #' @@ -25,7 +32,7 @@ #' futbin_search(name = "Grealish", version = "IF", verbose = TRUE) #' } -futbin_search <- function(name = "", version = NULL, verbose = F) { +futbin_search <- function(name = "", platform = "ps4", version = NULL,verbose = F) { if (length(name) == 1) { # Name transformation @@ -41,7 +48,8 @@ futbin_search <- function(name = "", version = NULL, verbose = F) { url <- paste0("https://www.futbin.com/21/players?page=1&search=", name) # Web scraping - tabla <- xml2::read_html(url) %>% + tabla <- httr::GET(url, httr::set_cookies(platform = platform)) %>% + httr::content() %>% rvest::html_nodes(xpath = "//table") %>% magrittr::extract(1) %>% rvest::html_table() %>% @@ -89,7 +97,7 @@ futbin_search <- function(name = "", version = NULL, verbose = F) { # Recursive search first.name <- name[1] other.names <- name[-1] - return(rbind(futbin_search(first.name, version, verbose), futbin_search(other.names, version, verbose))) + return(rbind(futbin_search(first.name, platform, version, verbose), futbin_search(other.names, platform, version, verbose))) } } diff --git a/README.Rmd b/README.Rmd index d4019f9..ea5bcdd 100644 --- a/README.Rmd +++ b/README.Rmd @@ -16,9 +16,14 @@ knitr::opts_chunk$set( ) ``` +```{r, echo = FALSE} +# Remove scientific notation +options(scipen = 999) +``` + # rfutbin -R package to get price and stats of FIFA Ultimate Team players in [Futbin](https://www.futbin.com). +R package to get price and stats of FIFA Ultimate Team players in [Futbin](https://www.futbin.com) for all platforms (PS4/XBox One/PC). ## Installation @@ -31,41 +36,6 @@ install_github("danielredondo/rfutbin") library(rfutbin) ``` -## Functions - -### futbin_search - -`futbin_search` searchs players in Futbin. It has the following parameters: - -- `name`. Optional. Vector with the names of the players. If not specified, it will report the 30 highest-rated players of the game. - -- `version`. Optional. Version of the cards. Some options are "Rare", "Non-Rare", "IF" (In-Form), "SIF" (Second In-Form), ... - -- `verbose`. Optional. To show additional messages (webpage scraped and number of players found). - -The output of the function is a dataframe with all the players found searching for `name` and `version`. - -### futbin_scrap - -`futbin_scrap` extracts all players of a Futbin URL. It has the following parameters: - -- `url`. Futbin URL to web scrap. Futbin webpage (https://www.futbin.com/players) can be used to make customised filters, and then copy the URL here. All the players found in the URL (and the next pages) will be automatically detected and downloaded. - -- `sleep_time`. Time (in seconds) ellapsed between scraping one page and the next one. Please respect Futbin API. - -- `verbose`. Optional. To show additional verbose about webpage used and number of players found. - -The output of the function is a dataframe with all the players found at the URL. - -### futbin_plot - -`futbin_plot` makes an interactive radar plot of the stats of the players. It has the following parameters: - -- `df` dataframe generated with columns `pac`, `sho`, `pas`, `dri`, `def`, `phy`. This dataframe can be obtained from function `futbin_search`. -- `gk` Optional. If `TRUE`, the labels of the plot are the main stats for goalkeepers: diving, handling, kicking, reflexes, speed and position. - -The output of the function is an interactive radar plot of the stats. - ## Examples #### Load package @@ -83,6 +53,19 @@ futbin_search(name = "Lionel Messi") Sys.sleep(3) ``` +#### The default platform is PS4, but you can get the price in other platforms (XBox One/PC) + +```{r} +futbin_search(name = "Lionel Messi", platform = "xone") +futbin_search(name = "Lionel Messi", platform = "pc") +``` + +```{r, echo = FALSE, results='hide'} +Sys.sleep(3) +``` + +The default platform is PS4. + #### Search for more than one player ```{r} @@ -157,11 +140,52 @@ futbin_plot(some_goalkeepers, gk = TRUE) ![https://i.imgur.com/zpD21wa.png](https://i.imgur.com/zpD21wa.png) *(Please note that this is a static version. Real plots are interactive.)* +## Functions + +### futbin_search + +`futbin_search` searchs players in Futbin. It has the following parameters: + +- `name`. Optional. Vector with the names of the players. If not specified, it will report the 30 highest-rated players of the game. + +- `platform`. Platform to get the prices from. Default is `ps4`. Other options are `xone` (XBox One) and `pc`. + +- `version`. Optional. Version of the cards. Some options are "Rare", "Non-Rare", "IF" (In-Form), "SIF" (Second In-Form), ... + +- `verbose`. Optional. To show additional messages (webpage scraped and number of players found). + +The output of the function is a dataframe with all the players found searching for `name` and `version`. + +### futbin_scrap + +`futbin_scrap` extracts all players of a Futbin URL. It has the following parameters: + +- `url`. Futbin URL to web scrap. Futbin webpage (https://www.futbin.com/players) can be used to make customised filters, and then copy the URL here. All the players found in the URL (and the next pages) will be automatically detected and downloaded. + +- `platform`. Platform to get the prices from. Default is `ps4`. Other options are `xone` (XBox One) and `pc`. + +- `sleep_time`. Time (in seconds) ellapsed between scraping one page and the next one. Please respect Futbin API. + +- `verbose`. Optional. To show additional verbose about webpage used and number of players found. + +The output of the function is a dataframe with all the players found at the URL. + +### futbin_plot + +`futbin_plot` makes an interactive radar plot of the stats of the players. It has the following parameters: + +- `df` dataframe generated with columns `pac`, `sho`, `pas`, `dri`, `def`, `phy`. This dataframe can be obtained from function `futbin_search`. + +- `gk` Optional. If `TRUE`, the labels of the plot are the main stats for goalkeepers: diving, handling, kicking, reflexes, speed and position. + +The output of the function is an interactive radar plot of the stats. + + ## Citation If you use this package, you can cite it as: ``` -Redondo-Sanchez, Daniel (2020). rfutbin: R package to get price and stats of FIFA Ultimate Team players in Futbin +Redondo-Sanchez, Daniel (2021). rfutbin (v1.0.1): R package to get price and stats of FIFA Ultimate Team players in Futbin. https://github.com/danielredondo/rfutbin ``` diff --git a/README.html b/README.html deleted file mode 100644 index 31d33db..0000000 --- a/README.html +++ /dev/null @@ -1,655 +0,0 @@ - - - - - - - - - - - - - -README.utf8 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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rfutbin

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R package to get price and stats of FIFA Ultimate Team players in Futbin.

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Installation

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This package is available only on GitHub. To install it, use the devtools package:

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library(devtools)
-install_github("danielredondo/rfutbin")
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-library(rfutbin)
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Functions

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futbin_scrap

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futbin_scrap extracts all players of a Futbin URL. It has the following parameters:

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    -

  • url. Futbin URL to web scrap. Futbin webpage (https://www.futbin.com/players) can be used to make customised filters, and then copy the URL here. All the players found in the URL (and the next pages) will be automatically detected and downloaded.

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  • sleep_time. Time (in seconds) ellapsed between scraping one page and the next one. Please respect Futbin API.

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  • verbose. Optional. To show additional verbose about webpage used and number of players found.

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The output of the function is a dataframe with all the players found at the URL.

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futbin_plot

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futbin_plot makes an interactive radar plot of the stats of the players. It has the following parameters:

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  • df dataframe generated with columns pac, sho, pas, dri, def, phy. This dataframe can be obtained from function futbin_search.
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  • gk Optional. If TRUE, the labels of the plot are the main stats for goalkeepers: diving, handling, kicking, reflexes, speed and position.
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The output of the function is an interactive radar plot of the stats.

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Examples

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Load package

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library(rfutbin)
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Search for a player

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futbin_search(name = "Lionel Messi")
-#>           name rating position         version   price skills weak_foot pac sho
-#> 1 Lionel Messi     98       RW            TOTY 2640000      4         4  93  98
-#> 2 Lionel Messi     96       CF LaLiga POTM SBC 1710000      4         4  90  96
-#> 3 Lionel Messi     95       CF           TOTGS  710000      4         4  88  95
-#> 4 Lionel Messi     94       CF              IF  510000      4         4  86  94
-#> 5 Lionel Messi     93       RW            Rare  115000      4         4  85  92
-#> 6 Lionel Messi     93       RW              CL  115000      4         4  85  92
-#>   pas dri def phy hei popularity base_stats in_game_stats wr_attack wr_defense
-#> 1  97  99  43  73 170       5816        503          2449         M          L
-#> 2  95  98  41  70 170       4410        490          2384         M          L
-#> 3  94  97  40  68 170       2141        482          2348         M          L
-#> 4  93  96  39  66 170       4962        474          2315         M          L
-#> 5  91  95  38  65 170       7114        466          2273         M          L
-#> 6  91  95  38  65 170        813        466          2273         M          L
-#>   wei
-#> 1  72
-#> 2  72
-#> 3  72
-#> 4  72
-#> 5  72
-#> 6  72
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Search for more than one player

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futbin_search(name = c("Lionel Messi", "Cristiano Ronaldo"))
-#>                 name rating position         version   price skills weak_foot
-#> 1       Lionel Messi     98       RW            TOTY 2640000      4         4
-#> 2       Lionel Messi     96       CF LaLiga POTM SBC 1710000      4         4
-#> 3       Lionel Messi     95       CF           TOTGS  710000      4         4
-#> 4       Lionel Messi     94       CF              IF  510000      4         4
-#> 5       Lionel Messi     93       RW            Rare  115000      4         4
-#> 6       Lionel Messi     93       RW              CL  115000      4         4
-#> 7  Cristiano Ronaldo     98       ST            TOTY 6470000      5         4
-#> 8  Cristiano Ronaldo     95       ST             TIF 3390000      5         4
-#> 9  Cristiano Ronaldo     94       ST             SIF 2450000      5         4
-#> 10 Cristiano Ronaldo     93       ST              IF 1400000      5         4
-#> 11 Cristiano Ronaldo     92       ST            Rare  335000      5         4
-#> 12 Cristiano Ronaldo     92       ST              CL  333000      5         4
-#> 13 Cristiano Ronaldo     87       RW   Flashback SBC  334500      5         3
-#>    pac sho pas dri def phy hei popularity base_stats in_game_stats wr_attack
-#> 1   93  98  97  99  43  73 170       5816        503          2449         M
-#> 2   90  96  95  98  41  70 170       4410        490          2384         M
-#> 3   88  95  94  97  40  68 170       2141        482          2348         M
-#> 4   86  94  93  96  39  66 170       4962        474          2315         M
-#> 5   85  92  91  95  38  65 170       7114        466          2273         M
-#> 6   85  92  91  95  38  65 170        813        466          2273         M
-#> 7   96  98  89  96  44  88 187       7889        511          2465         H
-#> 8   92  96  87  93  38  82 187       4326        488          2376         H
-#> 9   91  95  85  92  37  80 187       4210        480          2339         H
-#> 10  90  94  83  91  36  78 187       5640        472          2301         H
-#> 11  89  93  81  89  35  77 187      14868        464          2258         H
-#> 12  89  93  81  89  35  77 187       2034        464          2258         H
-#> 13  91  79  75  86  30  72 187       2076        433          2091         H
-#>    wr_defense wei
-#> 1           L  72
-#> 2           L  72
-#> 3           L  72
-#> 4           L  72
-#> 5           L  72
-#> 6           L  72
-#> 7           L  83
-#> 8           L  83
-#> 9           L  83
-#> 10          L  83
-#> 11          L  83
-#> 12          L  83
-#> 13          L  83
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Search for a specific version of a player

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# Lewandowski rare card
-futbin_search(name = "Lewandowski", version = "Rare")
-#>                 name rating position version price skills weak_foot pac sho pas
-#> 6 Robert Lewandowski     91       ST    Rare 59000      4         4  78  91  78
-#>   dri def phy hei popularity base_stats in_game_stats wr_attack wr_defense wei
-#> 6  86  43  82 184       2058        458          2232         H          M  80
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# Luis Suarez One to watch (OTW)
-futbin_search(name = "Luis Suarez", version = "OTW")
-#>          name rating position version price skills weak_foot pac sho pas dri
-#> 2 Luis Suárez     89       ST     OTW 50000      3         4  73  92  86  86
-#>   def phy hei popularity base_stats in_game_stats wr_attack wr_defense wei
-#> 2  53  85 182        842        475          2326         H          M  86
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# Grealish In-Form (IF) showing verbose
-futbin_search(name = "Grealish", version = "IF", verbose = TRUE)
-#> [1] "Reading... https://www.futbin.com/21/players?page=1&search=grealish"
-#> [1] "Player(s) found: 1"
-#>            name rating position version price skills weak_foot pac sho pas dri
-#> 2 Jack Grealish     83       LM      IF 30500      4         3  80  77  84  87
-#>   def phy hei popularity base_stats in_game_stats wr_attack wr_defense wei
-#> 2  49  64 180        523        441          2066         M          M  68
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Download all players from a Futbin webpage

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# All Aston Villa players -> To get the URL, go to futbin.com/players and filter
-aston_villa <- futbin_scrap(url = "https://www.futbin.com/players?page=1&club=2")
-#> [1] "Reading... https://www.futbin.com/players?page=1&club=2"
-#> [1] "Player(s) found: 30"
-#> [1] "Reading... https://www.futbin.com/players?page=2&club=2"
-#> [1] "Player(s) found: 41"
-#> [1] "Reading... https://www.futbin.com/players?page=3&club=2"
-#> [1] "Player(s) found: 41"
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-head(aston_villa)
-#>                name rating position              version price skills weak_foot
-#> 1     Jack Grealish     87      CAM TOTY Honourable Ment     0      4         3
-#> 2     Ollie Watkins     84       ST                  SIF 31750      3         4
-#> 3 Emiliano Martínez     84       GK                  SIF 44500      1         3
-#> 4     Jack Grealish     83       LM                   IF 30500      4         3
-#> 5 Emiliano Martínez     82       GK                   IF 35000      1         3
-#> 6     Ollie Watkins     81       ST                   IF 19250      3         4
-#>   pac sho pas dri def phy hei popularity base_stats in_game_stats wr_attack
-#> 1  85  83  89  91  53  69 180       4630        470          2217         M
-#> 2  90  84  77  82  54  76 180       3923        463          2188         H
-#> 3  85  86  84  86  65  85 195        503        491          1078         M
-#> 4  80  77  84  87  49  64 180        523        441          2066         M
-#> 5  82  84  82  83  62  82 195        178        475          1072         M
-#> 6  88  79  73  78  51  73 180        838        442          2068         H
-#>   wr_defense wei
-#> 1          M  68
-#> 2          H  70
-#> 3          M    
-#> 4          M  68
-#> 5          M    
-#> 6          H  70
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# All English players in Bundesliga -> To get the URL, go to futbin.com/players and filter
-futbin_scrap(url = "https://www.futbin.com/21/players?page=1&league=19&nation=14")
-#> [1] "Reading... https://www.futbin.com/21/players?page=1&league=19&nation=14"
-#> [1] "Player(s) found: 13"
-#> [1] "Reading... https://www.futbin.com/21/players?page=2&league=19&nation=14"
-#> [1] "Player(s) found: 13"
-#>               name rating position         version  price skills weak_foot pac
-#> 1     Jadon Sancho     92       RM         What If 328000      5         3  91
-#> 2     Jadon Sancho     89       LM Bundes POTM SBC 134500      5         3  87
-#> 3     Jadon Sancho     88       RM  Record Breaker  92000      5         3  87
-#> 4     Jadon Sancho     87       RM            Rare  25000      5         3  83
-#> 5     Jadon Sancho     87       RM              CL  25500      5         3  83
-#> 6   Ryan Sessegnon     87       LM      Objectives      0      4         4  92
-#> 7   Ryan Sessegnon     75       LM        non-rare    800      4         3  86
-#> 8     Demarai Gray     75       LM        non-rare    850      4         3  87
-#> 9  Ademola Lookman     74       RM            Rare  29500      3         4  82
-#> 10 Jude Bellingham     69       CM        Non-Rare   1200      3         4  77
-#> 11    Reece Oxford     66       CB        Non-Rare    800      2         3  67
-#> 12    Clinton Mola     66       LB        Non-Rare    850      2         3  68
-#> 13 Keanan Bennetts     63       LM            Rare      0      2         4  75
-#>    sho pas dri def phy hei popularity base_stats in_game_stats wr_attack
-#> 1   87  86  95  42  74 180       1485        462          2215         H
-#> 2   78  83  93  39  67 180      -2427        447          2089         H
-#> 3   83  82  91  38  65 180       2229        446          2092         H
-#> 4   74  81  91  37  64 180       -308        430          2015         H
-#> 5   74  81  91  37  64 180         66        430          2015         H
-#> 6   84  84  88  70  75 178        925        493          2325         H
-#> 7   67  69  75  65  62 178         56        424          1978         H
-#> 8   68  67  80  37  55 180         44        394          1803         M
-#> 9   72  66  80  27  60 174         48        387          1828         H
-#> 10  65  64  73  55  66 180        689        400          1837         H
-#> 11  33  52  56  66  69 191         12        343          1591         M
-#> 12  40  63  64  62  63 183          8        360          1670         H
-#> 13  59  58  66  41  55 183         10        354          1641         H
-#>    wr_defense wei
-#> 1           M  76
-#> 2           M  76
-#> 3           M  76
-#> 4           M  76
-#> 5           M  76
-#> 6           M  71
-#> 7           M  71
-#> 8           M  74
-#> 9           M  71
-#> 10          M  72
-#> 11          M  78
-#> 12          L  78
-#> 13          M  73
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Radar plot comparing Van Dijk and Messi

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players <- futbin_search(name = c("Van Dijk", "Lionel Messi"), version = "Rare")
-futbin_plot(players)
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https://i.imgur.com/MP9cmAk.png (Please note that this is a static version. Real plots are interactive.)

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Radar plot comparing goalkeepers:

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some_goalkeepers <- futbin_search(name = c("De Gea", "Kepa", "Hugo Lloris"), version = "Rare")
-futbin_plot(some_goalkeepers, gk = TRUE)
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https://i.imgur.com/zpD21wa.png (Please note that this is a static version. Real plots are interactive.)

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Citation

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If you use this package, you can cite it as:

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Redondo-Sanchez, Daniel (2020). rfutbin: R package to get price and stats of FIFA Ultimate Team players in Futbin
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- - - - - - - - - - - - - - - diff --git a/README.md b/README.md index 60bf981..474132d 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,15 @@ - - [rfutbin](#rfutbin) - - [Installation](#installation) - - [Functions](#functions) - - [Examples](#examples) - - [Citation](#citation) +- [rfutbin](#rfutbin) + - [Installation](#installation) + - [Examples](#examples) + - [Functions](#functions) + - [Citation](#citation) # rfutbin R package to get price and stats of FIFA Ultimate Team players in -[Futbin](https://www.futbin.com). +[Futbin](https://www.futbin.com) for all platforms (PS4/XBox One/PC). ## Installation @@ -23,59 +23,6 @@ install_github("danielredondo/rfutbin") library(rfutbin) ``` -## Functions - -### futbin\_search - -`futbin_search` searchs players in Futbin. It has the following -parameters: - - - `name`. Optional. Vector with the names of the players. If not - specified, it will report the 30 highest-rated players of the game. - - - `version`. Optional. Version of the cards. Some options are “Rare”, - “Non-Rare”, “IF” (In-Form), “SIF” (Second In-Form), … - - - `verbose`. Optional. To show additional messages (webpage scraped - and number of players found). - -The output of the function is a dataframe with all the players found -searching for `name` and `version`. - -### futbin\_scrap - -`futbin_scrap` extracts all players of a Futbin URL. It has the -following parameters: - - - `url`. Futbin URL to web scrap. Futbin webpage - () can be used to make customised - filters, and then copy the URL here. All the players found in the - URL (and the next pages) will be automatically detected and - downloaded. - - - `sleep_time`. Time (in seconds) ellapsed between scraping one page - and the next one. Please respect Futbin API. - - - `verbose`. Optional. To show additional verbose about webpage used - and number of players found. - -The output of the function is a dataframe with all the players found at -the URL. - -### futbin\_plot - -`futbin_plot` makes an interactive radar plot of the stats of the -players. It has the following parameters: - - - `df` dataframe generated with columns `pac`, `sho`, `pas`, `dri`, - `def`, `phy`. This dataframe can be obtained from function - `futbin_search`. - - `gk` Optional. If `TRUE`, the labels of the plot are the main stats - for goalkeepers: diving, handling, kicking, reflexes, speed and - position. - -The output of the function is an interactive radar plot of the stats. - ## Examples #### Load package @@ -88,75 +35,76 @@ library(rfutbin) ``` r futbin_search(name = "Lionel Messi") -#> name rating position version price skills weak_foot pac sho -#> 1 Lionel Messi 98 RW TOTY 2640000 4 4 93 98 -#> 2 Lionel Messi 96 CF LaLiga POTM SBC 1710000 4 4 90 96 -#> 3 Lionel Messi 95 CF TOTGS 710000 4 4 88 95 -#> 4 Lionel Messi 94 CF IF 510000 4 4 86 94 -#> 5 Lionel Messi 93 RW Rare 115000 4 4 85 92 -#> 6 Lionel Messi 93 RW CL 115000 4 4 85 92 -#> pas dri def phy hei popularity base_stats in_game_stats wr_attack wr_defense -#> 1 97 99 43 73 170 5816 503 2449 M L -#> 2 95 98 41 70 170 4410 490 2384 M L -#> 3 94 97 40 68 170 2141 482 2348 M L -#> 4 93 96 39 66 170 4962 474 2315 M L -#> 5 91 95 38 65 170 7114 466 2273 M L -#> 6 91 95 38 65 170 813 466 2273 M L -#> wei -#> 1 72 -#> 2 72 -#> 3 72 -#> 4 72 -#> 5 72 -#> 6 72 +#> # A tibble: 6 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Lione~ 98 RW TOTY 2.65e6 4 4 93 98 97 99 +#> 2 Lione~ 96 CF LaLiga~ 1.71e6 4 4 90 96 95 98 +#> 3 Lione~ 95 CF TOTGS 7.29e5 4 4 88 95 94 97 +#> 4 Lione~ 94 CF IF 4.99e5 4 4 86 94 93 96 +#> 5 Lione~ 93 RW Rare 1.09e5 4 4 85 92 91 95 +#> 6 Lione~ 93 RW CL 1.1 e5 4 4 85 92 91 95 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei +``` + +#### The default platform is PS4, but you can get the price in other platforms (XBox One/PC) + +``` r +futbin_search(name = "Lionel Messi", platform = "xone") +#> # A tibble: 6 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Lione~ 98 RW TOTY 2.5 e6 4 4 93 98 97 99 +#> 2 Lione~ 96 CF LaLiga~ 1.59e6 4 4 90 96 95 98 +#> 3 Lione~ 95 CF TOTGS 6.02e5 4 4 88 95 94 97 +#> 4 Lione~ 94 CF IF 4.5 e5 4 4 86 94 93 96 +#> 5 Lione~ 93 RW Rare 9.95e4 4 4 85 92 91 95 +#> 6 Lione~ 93 RW CL 1.14e5 4 4 85 92 91 95 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei +futbin_search(name = "Lionel Messi", platform = "pc") +#> # A tibble: 6 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Lione~ 98 RW TOTY 3.15e6 4 4 93 98 97 99 +#> 2 Lione~ 96 CF LaLiga~ 1.93e6 4 4 90 96 95 98 +#> 3 Lione~ 95 CF TOTGS 8.15e5 4 4 88 95 94 97 +#> 4 Lione~ 94 CF IF 5.75e5 4 4 86 94 93 96 +#> 5 Lione~ 93 RW Rare 1.69e5 4 4 85 92 91 95 +#> 6 Lione~ 93 RW CL 1.67e5 4 4 85 92 91 95 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` +The default platform is PS4. + #### Search for more than one player ``` r futbin_search(name = c("Lionel Messi", "Cristiano Ronaldo")) -#> name rating position version price skills weak_foot -#> 1 Lionel Messi 98 RW TOTY 2640000 4 4 -#> 2 Lionel Messi 96 CF LaLiga POTM SBC 1710000 4 4 -#> 3 Lionel Messi 95 CF TOTGS 710000 4 4 -#> 4 Lionel Messi 94 CF IF 510000 4 4 -#> 5 Lionel Messi 93 RW Rare 115000 4 4 -#> 6 Lionel Messi 93 RW CL 115000 4 4 -#> 7 Cristiano Ronaldo 98 ST TOTY 6470000 5 4 -#> 8 Cristiano Ronaldo 95 ST TIF 3390000 5 4 -#> 9 Cristiano Ronaldo 94 ST SIF 2450000 5 4 -#> 10 Cristiano Ronaldo 93 ST IF 1400000 5 4 -#> 11 Cristiano Ronaldo 92 ST Rare 335000 5 4 -#> 12 Cristiano Ronaldo 92 ST CL 333000 5 4 -#> 13 Cristiano Ronaldo 87 RW Flashback SBC 334500 5 3 -#> pac sho pas dri def phy hei popularity base_stats in_game_stats wr_attack -#> 1 93 98 97 99 43 73 170 5816 503 2449 M -#> 2 90 96 95 98 41 70 170 4410 490 2384 M -#> 3 88 95 94 97 40 68 170 2141 482 2348 M -#> 4 86 94 93 96 39 66 170 4962 474 2315 M -#> 5 85 92 91 95 38 65 170 7114 466 2273 M -#> 6 85 92 91 95 38 65 170 813 466 2273 M -#> 7 96 98 89 96 44 88 187 7889 511 2465 H -#> 8 92 96 87 93 38 82 187 4326 488 2376 H -#> 9 91 95 85 92 37 80 187 4210 480 2339 H -#> 10 90 94 83 91 36 78 187 5640 472 2301 H -#> 11 89 93 81 89 35 77 187 14868 464 2258 H -#> 12 89 93 81 89 35 77 187 2034 464 2258 H -#> 13 91 79 75 86 30 72 187 2076 433 2091 H -#> wr_defense wei -#> 1 L 72 -#> 2 L 72 -#> 3 L 72 -#> 4 L 72 -#> 5 L 72 -#> 6 L 72 -#> 7 L 83 -#> 8 L 83 -#> 9 L 83 -#> 10 L 83 -#> 11 L 83 -#> 12 L 83 -#> 13 L 83 +#> # A tibble: 13 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Lion~ 98 RW TOTY 2.65e6 4 4 93 98 97 99 +#> 2 Lion~ 96 CF LaLiga~ 1.71e6 4 4 90 96 95 98 +#> 3 Lion~ 95 CF TOTGS 7.29e5 4 4 88 95 94 97 +#> 4 Lion~ 94 CF IF 4.99e5 4 4 86 94 93 96 +#> 5 Lion~ 93 RW Rare 1.09e5 4 4 85 92 91 95 +#> 6 Lion~ 93 RW CL 1.1 e5 4 4 85 92 91 95 +#> 7 Cris~ 98 ST TOTY 6.97e6 5 4 96 98 89 96 +#> 8 Cris~ 95 ST TIF 3.35e6 5 4 92 96 87 93 +#> 9 Cris~ 94 ST SIF 2.54e6 5 4 91 95 85 92 +#> 10 Cris~ 93 ST IF 1.39e6 5 4 90 94 83 91 +#> 11 Cris~ 92 ST Rare 2.95e5 5 4 89 93 81 89 +#> 12 Cris~ 92 ST CL 2.94e5 5 4 89 93 81 89 +#> 13 Cris~ 87 RW Flashb~ 3.34e5 5 3 91 79 75 86 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` #### Search for a specific version of a player @@ -164,19 +112,25 @@ futbin_search(name = c("Lionel Messi", "Cristiano Ronaldo")) ``` r # Lewandowski rare card futbin_search(name = "Lewandowski", version = "Rare") -#> name rating position version price skills weak_foot pac sho pas -#> 6 Robert Lewandowski 91 ST Rare 59000 4 4 78 91 78 -#> dri def phy hei popularity base_stats in_game_stats wr_attack wr_defense wei -#> 6 86 43 82 184 2058 458 2232 H M 80 +#> # A tibble: 1 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Robert~ 91 ST Rare 62500 4 4 78 91 78 86 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` ``` r # Luis Suarez One to watch (OTW) futbin_search(name = "Luis Suarez", version = "OTW") -#> name rating position version price skills weak_foot pac sho pas dri -#> 2 Luis Suárez 89 ST OTW 50000 3 4 73 92 86 86 -#> def phy hei popularity base_stats in_game_stats wr_attack wr_defense wei -#> 2 53 85 182 842 475 2326 H M 86 +#> # A tibble: 1 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Luis S~ 89 ST OTW 45250 3 4 73 92 86 86 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` ``` r @@ -184,10 +138,13 @@ futbin_search(name = "Luis Suarez", version = "OTW") futbin_search(name = "Grealish", version = "IF", verbose = TRUE) #> [1] "Reading... https://www.futbin.com/21/players?page=1&search=grealish" #> [1] "Player(s) found: 1" -#> name rating position version price skills weak_foot pac sho pas dri -#> 2 Jack Grealish 83 LM IF 30500 4 3 80 77 84 87 -#> def phy hei popularity base_stats in_game_stats wr_attack wr_defense wei -#> 2 49 64 180 523 441 2066 M M 68 +#> # A tibble: 1 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Jack G~ 83 LM IF 26500 4 3 80 77 84 87 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` #### Download all players from a Futbin webpage @@ -203,27 +160,18 @@ aston_villa <- futbin_scrap(url = "https://www.futbin.com/players?page=1&club=2" #> [1] "Player(s) found: 41" head(aston_villa) -#> name rating position version price skills weak_foot -#> 1 Jack Grealish 87 CAM TOTY Honourable Ment 0 4 3 -#> 2 Ollie Watkins 84 ST SIF 31750 3 4 -#> 3 Emiliano Martínez 84 GK SIF 44500 1 3 -#> 4 Jack Grealish 83 LM IF 30500 4 3 -#> 5 Emiliano Martínez 82 GK IF 35000 1 3 -#> 6 Ollie Watkins 81 ST IF 19250 3 4 -#> pac sho pas dri def phy hei popularity base_stats in_game_stats wr_attack -#> 1 85 83 89 91 53 69 180 4630 470 2217 M -#> 2 90 84 77 82 54 76 180 3923 463 2188 H -#> 3 85 86 84 86 65 85 195 503 491 1078 M -#> 4 80 77 84 87 49 64 180 523 441 2066 M -#> 5 82 84 82 83 62 82 195 178 475 1072 M -#> 6 88 79 73 78 51 73 180 838 442 2068 H -#> wr_defense wei -#> 1 M 68 -#> 2 H 70 -#> 3 M -#> 4 M 68 -#> 5 M -#> 6 H 70 +#> # A tibble: 6 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Jack ~ 87 CAM TOTY Ho~ 0 4 3 85 83 89 91 +#> 2 Ollie~ 84 ST SIF 39000 3 4 90 84 77 82 +#> 3 Emili~ 84 GK SIF 30000 1 3 85 86 84 86 +#> 4 Jack ~ 83 LM IF 26500 4 3 80 77 84 87 +#> 5 Emili~ 82 GK IF 24000 1 3 82 84 82 83 +#> 6 Ollie~ 81 ST IF 24500 3 4 88 79 73 78 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` ``` r @@ -233,48 +181,25 @@ futbin_scrap(url = "https://www.futbin.com/21/players?page=1&league=19&nation=14 #> [1] "Player(s) found: 13" #> [1] "Reading... https://www.futbin.com/21/players?page=2&league=19&nation=14" #> [1] "Player(s) found: 13" -#> name rating position version price skills weak_foot pac -#> 1 Jadon Sancho 92 RM What If 328000 5 3 91 -#> 2 Jadon Sancho 89 LM Bundes POTM SBC 134500 5 3 87 -#> 3 Jadon Sancho 88 RM Record Breaker 92000 5 3 87 -#> 4 Jadon Sancho 87 RM Rare 25000 5 3 83 -#> 5 Jadon Sancho 87 RM CL 25500 5 3 83 -#> 6 Ryan Sessegnon 87 LM Objectives 0 4 4 92 -#> 7 Ryan Sessegnon 75 LM non-rare 800 4 3 86 -#> 8 Demarai Gray 75 LM non-rare 850 4 3 87 -#> 9 Ademola Lookman 74 RM Rare 29500 3 4 82 -#> 10 Jude Bellingham 69 CM Non-Rare 1200 3 4 77 -#> 11 Reece Oxford 66 CB Non-Rare 800 2 3 67 -#> 12 Clinton Mola 66 LB Non-Rare 850 2 3 68 -#> 13 Keanan Bennetts 63 LM Rare 0 2 4 75 -#> sho pas dri def phy hei popularity base_stats in_game_stats wr_attack -#> 1 87 86 95 42 74 180 1485 462 2215 H -#> 2 78 83 93 39 67 180 -2427 447 2089 H -#> 3 83 82 91 38 65 180 2229 446 2092 H -#> 4 74 81 91 37 64 180 -308 430 2015 H -#> 5 74 81 91 37 64 180 66 430 2015 H -#> 6 84 84 88 70 75 178 925 493 2325 H -#> 7 67 69 75 65 62 178 56 424 1978 H -#> 8 68 67 80 37 55 180 44 394 1803 M -#> 9 72 66 80 27 60 174 48 387 1828 H -#> 10 65 64 73 55 66 180 689 400 1837 H -#> 11 33 52 56 66 69 191 12 343 1591 M -#> 12 40 63 64 62 63 183 8 360 1670 H -#> 13 59 58 66 41 55 183 10 354 1641 H -#> wr_defense wei -#> 1 M 76 -#> 2 M 76 -#> 3 M 76 -#> 4 M 76 -#> 5 M 76 -#> 6 M 71 -#> 7 M 71 -#> 8 M 74 -#> 9 M 71 -#> 10 M 72 -#> 11 M 78 -#> 12 L 78 -#> 13 M 73 +#> # A tibble: 13 x 20 +#> name rating position version price skills weak_foot pac sho pas dri +#> +#> 1 Jado~ 92 RM What If 349000 5 3 91 87 86 95 +#> 2 Jado~ 89 LM Bundes~ 134500 5 3 87 78 83 93 +#> 3 Jado~ 88 RM Record~ 93000 5 3 87 83 82 91 +#> 4 Jado~ 87 RM Rare 20500 5 3 83 74 81 91 +#> 5 Jado~ 87 RM CL 20250 5 3 83 74 81 91 +#> 6 Ryan~ 87 LM Object~ 0 4 4 92 84 84 88 +#> 7 Ryan~ 75 LM non-ra~ 2600 4 3 86 67 69 75 +#> 8 Dema~ 75 LM non-ra~ 1100 4 3 87 68 67 80 +#> 9 Adem~ 74 RM Rare 29500 3 4 82 72 66 80 +#> 10 Jude~ 69 CM Non-Ra~ 2600 3 4 77 65 64 73 +#> 11 Reec~ 66 CB Non-Ra~ 700 2 3 67 33 52 56 +#> 12 Clin~ 66 LB Non-Ra~ 1100 2 3 68 40 63 64 +#> 13 Kean~ 63 LM Rare 0 2 4 75 59 58 66 +#> # ... with 9 more variables: def , phy , hei , popularity , +#> # base_stats , in_game_stats , wr_attack , wr_defense , +#> # wei ``` #### Radar plot comparing Van Dijk and Messi @@ -299,8 +224,68 @@ futbin_plot(some_goalkeepers, gk = TRUE) *(Please note that this is a static version. Real plots are interactive.)* +## Functions + +### futbin\_search + +`futbin_search` searchs players in Futbin. It has the following +parameters: + +- `name`. Optional. Vector with the names of the players. If not + specified, it will report the 30 highest-rated players of the game. + +- `platform`. Platform to get the prices from. Default is `ps4`. Other + options are `xone` (XBox One) and `pc`. + +- `version`. Optional. Version of the cards. Some options are “Rare”, + “Non-Rare”, “IF” (In-Form), “SIF” (Second In-Form), … + +- `verbose`. Optional. To show additional messages (webpage scraped + and number of players found). + +The output of the function is a dataframe with all the players found +searching for `name` and `version`. + +### futbin\_scrap + +`futbin_scrap` extracts all players of a Futbin URL. It has the +following parameters: + +- `url`. Futbin URL to web scrap. Futbin webpage + () can be used to make customised + filters, and then copy the URL here. All the players found in the + URL (and the next pages) will be automatically detected and + downloaded. + +- `platform`. Platform to get the prices from. Default is `ps4`. Other + options are `xone` (XBox One) and `pc`. + +- `sleep_time`. Time (in seconds) ellapsed between scraping one page + and the next one. Please respect Futbin API. + +- `verbose`. Optional. To show additional verbose about webpage used + and number of players found. + +The output of the function is a dataframe with all the players found at +the URL. + +### futbin\_plot + +`futbin_plot` makes an interactive radar plot of the stats of the +players. It has the following parameters: + +- `df` dataframe generated with columns `pac`, `sho`, `pas`, `dri`, + `def`, `phy`. This dataframe can be obtained from function + `futbin_search`. + +- `gk` Optional. If `TRUE`, the labels of the plot are the main stats + for goalkeepers: diving, handling, kicking, reflexes, speed and + position. + +The output of the function is an interactive radar plot of the stats. + ## Citation If you use this package, you can cite it as: - Redondo-Sanchez, Daniel (2020). rfutbin: R package to get price and stats of FIFA Ultimate Team players in Futbin + Redondo-Sanchez, Daniel (2021). rfutbin (v1.0.1): R package to get price and stats of FIFA Ultimate Team players in Futbin. https://github.com/danielredondo/rfutbin diff --git a/man/futbin_scrap.Rd b/man/futbin_scrap.Rd index 6680c74..c426d45 100644 --- a/man/futbin_scrap.Rd +++ b/man/futbin_scrap.Rd @@ -4,13 +4,15 @@ \alias{futbin_scrap} \title{futbin_scrap extracts all players of a Futbin URL.} \usage{ -futbin_scrap(url, sleep_time = 5, verbose = TRUE) +futbin_scrap(url, platform = "ps4", sleep_time = 5, verbose = TRUE) } \arguments{ \item{url}{Futbin URL to web scrap. Futbin webpage (https://www.futbin.com/players) can be used to make customised filters, and then copy the URL here. All the players found in the URL (and the next pages) will be automatically detected and downloaded.} +\item{platform}{Platform to get the prices from. Default is `ps4`. Other options are `xone` (XBox One) and `pc`.} + \item{sleep_time}{Time (in seconds) ellapsed between scraping one page and the next one. Please respect Futbin API.} \item{verbose}{Optional. To show additional verbose about webpage used and number of players found.} diff --git a/man/futbin_search.Rd b/man/futbin_search.Rd index e0e8426..5028953 100644 --- a/man/futbin_search.Rd +++ b/man/futbin_search.Rd @@ -4,12 +4,14 @@ \alias{futbin_search} \title{futbin_search searchs players in futbin.} \usage{ -futbin_search(name = "", version = NULL, verbose = F) +futbin_search(name = "", platform = "ps4", version = NULL, verbose = F) } \arguments{ \item{name}{Optional. Vector with the names of the players. If not specified it will report the 30 highest-rated players of the game.} +\item{platform}{Platform to get the prices from. Default is `ps4`. Other options are `xone` (XBox One) and `pc`.} + \item{version}{Optional. Version of the cards. Some options are "Rare", "Non-Rare", "IF" (In-Form), "SIF" (Second In-Form), ...} @@ -27,6 +29,12 @@ futbin_search searchs players in futbin. # Search for a player futbin_search(name = "Lionel Messi") +# Search for a player and get the PC price +futbin_search(name = "Lionel Messi", platform = "pc") + +# Search for a player and get the XBox One price +futbin_search(name = "Lionel Messi", platform = "xone") + # Search for more than one player futbin_search(name = c("Lionel Messi", "Cristiano Ronaldo"))