MFL: Get Endpoint

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

options(dplyr.summarise.inform = FALSE,
        rmarkdown.html_vignette.check_title = FALSE)

eval <- TRUE

tryCatch(expr = {

  download.file("https://github.com/ffverse/ffscrapr-tests/archive/1.4.7.zip","f.zip")
  unzip('f.zip', exdir = ".")

  httptest::.mockPaths(new = "ffscrapr-tests-1.4.7")},
  warning = function(e) eval <<- FALSE,
  error = function(e) eval <<- FALSE)

httptest::use_mock_api()

Creating custom MFL API calls

library(ffscrapr)

The MFL API is extensive. If there is something you'd like to access beyond the current scope of ffscrapr, you can use the lower-level "mfl_getendpoint" function to create a GET request and access the data, while still using the authentication and rate-limiting features I've already created.

Here is an example of how you can call one of the endpoints - in this case, let's try searching for SFBX leagues through the leagueSearch endpoint.

We'll start by opening up this page, https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=leagueSearch, which is the "test" page for this particular endpoint. From here, we can see that the only parameter required is "SEARCH".

We need a connection object to pass into the mfl_getendpoint function, although in this example we don't need to give it much since the endpoint doesn't need a leagueID or username/password or APIKEY.

conn <- mfl_connect(season = 2020)

conn

The parameters of the mfl_getendpoint function are conn, endpoint, and any other optional parameters required by the API.

The function will automatically insert the league_id, API key, and/or authentication cookies from the connection object, and will request JSON for you - so you do not need to add any of these parameters.

It is safest to assume that everything is case-sensitive: the endpoint must match the case displayed by MFL ("leagueSearch") and the SEARCH argument name must be provided in upper-case.

sfb_search <- mfl_getendpoint(conn,endpoint = "leagueSearch", SEARCH = "sfbx conference")

str(sfb_search, max.level = 1)

The function returns a list with the query that was sent, the response that was received, and the content that was parsed - this helps you debug the result of the function later, by inspecting the query that was sent and the response that was received.

I like to extract the content with purrr::pluck and then convert it into a tibble and unnest the content from there, but you can use base R subsetting or magrittr::extract2 for the same purpose.

search_results <- sfb_search %>% 
  purrr::pluck("content","leagues","league") %>% 
  tibble::tibble() %>% 
  tidyr::unnest_wider(1)

head(search_results)

Another Example: Trade Bait

Here's another example, this time with the trade bait endpoint: https://api.myfantasyleague.com/2020/api_info?STATE=test&CCAT=export&TYPE=tradeBait

fog <- mfl_connect(season = 2019, league_id = 12608)

fog_tradebait <- mfl_getendpoint(fog, "tradeBait", INCLUDE_DRAFT_PICKS = 1) %>% 
  purrr::pluck("content","tradeBaits","tradeBait") %>% 
  tibble::tibble() %>% 
  tidyr::unnest_wider(1) %>% 
  tidyr::separate_rows("willGiveUp",sep = ",") %>% 
  dplyr::left_join(
    ff_franchises(fog) %>% dplyr::select("franchise_id","franchise_name"),
    by = c("franchise_id")
  ) %>% 
  dplyr::left_join(
    mfl_players(fog) %>% dplyr::select("player_id","player_name","pos","age","team"),
    by = c("willGiveUp" = "player_id")
  )

head(fog_tradebait)
httptest::stop_mocking()

unlink(c("ffscrapr-tests-1.4.7","f.zip"), recursive = TRUE, force = TRUE)


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ffscrapr documentation built on Feb. 16, 2023, 10:55 p.m.