Load wehoop WNBA Draft

load_wnba_draft_manifest() returns the per-season manifest CSV (season, row_count, generated_at_utc, source_endpoint) for the draft release tag without downloading any season's full data.

Loads season-level WNBA draft picks scraped from ESPN. One row per pick. Backed by the wehoop-wnba-data pipeline that reads raw JSONs from wehoop-wnba-raw and publishes parquet/rds artifacts to the espn_wnba_draft release tag.

Usage

load_wnba_draft_manifest()

load_wnba_draft(
  seasons = most_recent_wnba_season(),
  ...,
  dbConnection = NULL,
  tablename = NULL
)

Arguments

seasons

A vector of 4-digit years associated with given WNBA draft seasons. (Min: 2002)

...

Additional arguments passed to an underlying function that writes the season data into a database.

dbConnection

A DBIConnection object, as returned by DBI::dbConnect()

tablename

The name of the draft data table within the database

Value

Returns a wehoop_data tibble of WNBA draft picks.

col_name	types	description
season	integer	Season identifier (4-digit year or 'YYYY-YY' string).
round	integer	Tournament / playoff round.
pick	integer	Pick.
overall	integer	Overall.
team_id	character	Unique team identifier.
team_display_name	character	Full team display name.
athlete_id	character	Unique athlete identifier (ESPN).
athlete_display_name	character	Athlete display name (full).
athlete_position	character	Athlete position.
college_id	character	Unique identifier for college.
college_name	character	College name.

See also

Other WNBA loader functions: load_wnba_game_rosters_manifest(), load_wnba_officials_manifest(), load_wnba_player_stats_manifest(), load_wnba_rosters_manifest(), load_wnba_shots_manifest(), load_wnba_standings_manifest(), load_wnba_team_stats_manifest()

Examples

# \donttest{
  try(load_wnba_draft(seasons = most_recent_wnba_season()))
#> ──────────────────────────────────────────────────────────────── wehoop 3.0.0 ──
#> # A tibble: 45 × 35
#>    season round round_display_name  pick overall_pick pick_traded pick_notes
#>     <int> <int> <chr>              <int>        <int> <chr>       <chr>     
#>  1   2026     1 NA                     1            1 FALSE       NA        
#>  2   2026     1 NA                     2            2 TRUE        NA        
#>  3   2026     1 NA                     3            3 TRUE        NA        
#>  4   2026     1 NA                     4            4 FALSE       NA        
#>  5   2026     1 NA                     5            5 TRUE        NA        
#>  6   2026     1 NA                     6            6 FALSE       NA        
#>  7   2026     1 NA                     7            7 FALSE       NA        
#>  8   2026     1 NA                     8            8 TRUE        NA        
#>  9   2026     1 NA                     9            9 TRUE        NA        
#> 10   2026     1 NA                    10           10 FALSE       NA        
#> # ℹ 35 more rows
#> # ℹ 28 more variables: athlete_id <int>, athlete_uid <chr>, athlete_guid <chr>,
#> #   athlete_first_name <chr>, athlete_last_name <chr>, athlete_full_name <chr>,
#> #   athlete_display_name <chr>, athlete_short_name <chr>, athlete_height <chr>,
#> #   athlete_weight <chr>, athlete_position_abbreviation <chr>,
#> #   athlete_position_name <chr>, athlete_headshot_href <chr>, college_id <int>,
#> #   college_name <chr>, college_short_name <chr>, college_abbreviation <chr>, …
# }