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Scrape cycling data from procyclingstats.com.

Source: R/cyclingscraper.R
cyclingscraper.Rd

This function webscrapes stage-level race data for Grand Tours and major stage-races in professional cycling. The function can handle multiple races and years.

Usage

cyclingscraper(races, years, ...)

Arguments

races

A character race identifier or vector of races. See below for details and examples.

years

Either a number (or vector of numbers) corresponding to requested race year(s) with the format: YYYY or "all" for all available race years. Default is "all".

...

Additional arguments passed to racedata. Can be:

  • progress Logical value indicating whether function should print progress. Default is TRUE

  • sleep A number corresponding to seconds of sleep time between HTML requests. Default is 1

Value

a dataframe containing stage-level data for races in year with the following variables included: race, year, stage, races, stage_num, stage_type, date, departure, arrival, parcours_type, distance, vertical_meters, profile_score, startlist_quality, avg_speed_winner, won_how, win_type and km_solo.

Details

The races parameter accepts the following inputs:

  • "tdf" (Tour de France)

  • "giro" (Giro d'Italia)

  • "vuelta" (La Vuelta ciclista a España)

  • "dauphine" (Critérium du Dauphiné)

  • "suisse" (Tour de Suisse)

  • "tirreno" (Tirreno-Adriatico)

  • "parisnice" (Paris-Nice)

  • "romandie" (Tour de Romandie)

  • "catalunya" (Volta Ciclista a Catalunya)

  • "pologne" (Tour de Pologne)

  • "basque" (Itzulia Basque Country)

Examples

#' The examples are not evaluated due to long run time. Remove `if (FALSE) {}` to run.

if (FALSE) { # \dontrun{

cyclingscraper(races = c("tdf", "giro", "vuelta"), years = 2010:2023)

cyclingscraper(races = "tdf", years = "all")

cyclingscraper(races = c("suisse", "dauphine"), years = 2022)

cyclingscraper(races = "tdf", years = c(1996, 2022, 2023), progress = FALSE, sleep = 2)

} # }