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.
Installation
Version 1.2.0 is now on CRAN 🎉 and can be installed with:
install.packages("ffscrapr")
# or from GitHub release with the remotes package # install.packages("remotes")
remotes::install_github("dynastyprocess/ffscrapr",ref = "v1.2.0")Install the development version from GitHub with:
remotes::install_github("dynastyprocess/ffscrapr")The dev version has a separate documentation site here.
Usage
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()
#> 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: 439 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, Ev~ TE NYG 26.2
#> 2 0001 Team Pikachu 11680 Landry, Ja~ WR CLE 28
#> 3 0001 Team Pikachu 14085 Pollard, T~ RB DAL 23.6
#> 4 0001 Team Pikachu 13645 Smith, Tre~ WR NOS 24.9
#> 5 0001 Team Pikachu 12110 Brate, Cam~ TE TBB 29.4
#> # ... with 434 more rows, and 4 more variables: roster_status <chr>,
#> # drafted <chr>, draft_year <chr>, draft_round <chr>
# Get transactions
ff_transactions(ssb)
#> # A tibble: 891 x 12
#> timestamp type type_desc franchise_id franchise_name player_id
#> <dttm> <chr> <chr> <chr> <chr> <chr>
#> 1 2020-11-22 19:29:36 FREE~ added 0009 Team Link 12155
#> 2 2020-11-22 19:29:36 FREE~ dropped 0009 Team Link 13794
#> 3 2020-11-22 14:49:11 FREE~ added 0014 Team Luigi 14062
#> 4 2020-11-21 22:24:25 IR deactiva~ 0014 Team Luigi 13136
#> 5 2020-11-21 22:24:02 FREE~ added 0014 Team Luigi 13136
#> # ... with 886 more rows, and 6 more variables: player_name <chr>, pos <chr>,
#> # team <chr>, bbid_spent <dbl>, trade_partner <chr>, comments <chr>For a more detailed usage example, including a template dynasty league analysis script, please check out the reference articles and/or vignettes!
Contributing
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.
Terms of Use
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.
