An R Client for Fantasy Football League APIs
Helps access various Fantasy Football APIs (currently MFL, Sleeper, Fleaflicker, and eventually ESPN, Yahoo, potentially others) by handling authentication/rate-limiting/caching, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Version 1.2.2 is now on CRAN 🎉 and can be installed with:
install.packages("ffscrapr")
# or from GitHub release with the remotes package via:
# install.packages("remotes")
remotes::install_github("dynastyprocess/ffscrapr", ref = "v1.2.2")
Install the development version from GitHub with:
The dev version has a separate documentation site here.
All ffscrapr
functions start with a connection object created by ff_connect()
, which stores connection, authentication, and other user-defined parameters. This object is used by all other functions to help return the correct data.
library(ffscrapr)
ssb <- ff_connect(platform = "mfl", league_id = "54040", season = 2020)
# Get a summary of league settings
ff_league(ssb) %>% str()
#> Using request.R from "ffscrapr"
#> tibble [1 x 13] (S3: tbl_df/tbl/data.frame)
#> $ league_id : chr "54040"
#> $ league_name : chr "The Super Smash Bros Dynasty League"
#> $ franchise_count: num 14
#> $ qb_type : chr "1QB"
#> $ idp : logi FALSE
#> $ scoring_flags : chr "0.5_ppr, TEPrem, PP1D"
#> $ best_ball : logi TRUE
#> $ salary_cap : logi FALSE
#> $ player_copies : num 1
#> $ years_active : chr "2018-2020"
#> $ qb_count : chr "1"
#> $ roster_size : num 28
#> $ league_depth : num 392
# Get rosters
ff_rosters(ssb)
#> # A tibble: 443 x 11
#> franchise_id franchise_name player_id player_name pos team age
#> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 0001 Team Pikachu 13189 Engram, Evan TE NYG 26.4
#> 2 0001 Team Pikachu 11680 Landry, Jarvis WR CLE 28.2
#> 3 0001 Team Pikachu 13645 Smith, Tre'Quan WR NOS 25.1
#> 4 0001 Team Pikachu 12110 Brate, Cameron TE TBB 29.6
#> 5 0001 Team Pikachu 13168 Reynolds, Josh WR LAR 26
#> # ... with 438 more rows, and 4 more variables: roster_status <chr>,
#> # drafted <chr>, draft_year <chr>, draft_round <chr>
# Get transactions
ff_transactions(ssb)
#> # A tibble: 152 x 12
#> timestamp type type_desc franchise_id franchise_name
#> <dttm> <chr> <chr> <chr> <chr>
#> 1 2020-07-09 17:25:20 FREE_AGENT dropped 0004 Team Ice Climbers
#> 2 2020-07-09 17:25:20 FREE_AGENT dropped 0004 Team Ice Climbers
#> 3 2020-06-16 01:56:49 TAXI promoted 0014 Team Luigi
#> 4 2020-06-16 01:56:49 TAXI demoted 0014 Team Luigi
#> 5 2020-06-12 23:51:44 FREE_AGENT dropped 0010 Team Yoshi
#> # ... with 147 more rows, and 7 more variables: player_id <chr>,
#> # player_name <chr>, pos <chr>, team <chr>, bbid_spent <dbl>,
#> # trade_partner <chr>, comments <chr>
Platform-specific guides on getting started with ffscrapr are here:
There are also some more advanced guides for custom API calls in the Articles section, as well as some guides on optimizing ffscrapr’s performance.
Many hands make light work! Here are some ways you can contribute to this project:
You can open an issue if you’d like to request specific data or report a bug/error.
You can sponsor this project with donations!
If you’d like to contribute code, please check out the contribution guidelines.
The R code for this package is released as open source under the MIT license.
The APIs and data accessed by this package belong to their respective owners, and are governed by their terms of use.