#rvest — Public Fediverse posts

#Day17 | Relationships – Remake | #30DayChartChallenge | Are we making more or fewer remakes as the years go by?. Built with #RStats using #rvest, #dplyr, #stringr, #ggplot2 and #showtext.

Pledging My Time VII

https://quantixed.org/2025/10/30/pledging-my-time-vii/

#fun #ggplot #marathon #Rstats #running #rvest

I'm trying to download pdf's of medical policy but having issues, anyone? #Medical #Policy #Insurance #R #rvest #Tidyverse

📝 "Philly Center City District Sips 2023: An Interactive Map"

👤 Silvia Canelón (@spcanelon)

🔗 https://silviacanelon.com/blog/2023-06-05-ccd-sips/

#rladies #rstats #r #maps #webscraping #robotstxt #rvest #leaflet #tidygeocoder

📝 "Philly Center City District Sips 2022: An Interactive Map"

👤 Silvia Canelón (@spcanelon)

🔗 https://silviacanelon.com/blog/2022-05-31-ccd-sips/index.html

#rladies #rstats #r #tutorial #maps #webscraping #robotstxt #rvest #leaflet #ggmap

Yesterday I successfully executed my first web scraping in R :ablobcathappypaws: It was my first time investigating a website so deeply. I also learned that dynamic pages are a pain to scrape from. Still, I'm curious to try other pages!

@academicchatter @rstats #R #webscraping #polite #rvest #RSelenium

@hadleywickham You asked on Twitter last fall for #rvest examples that don't work. This used to pull the latest version of #RStudio but doesn't work anymore (unless I save the page first)

spans <- xml2::read_html("https://posit.co/download/rstudio-desktop/") |>
rvest::html_element(".mt-\\[40px\\].body-md-regular") |>
rvest::html_elements("span") |>
rvest::html_text() |>
stringr::str_extract("Version: .*")

rstudio_latest_version <- spans[!is.na(spans)] |>
stringr::str_extract("[0-9.\\+]+")

Pledging My Time VI: scraping and analysis of race results in R

https://quantixed.org/2023/05/08/pledging-my-time-vi-scraping-and-analysis-of-race-results-in-r/

#computing #fun #ggplot #marathon #Rstats #running #rvest

I'm presenting a new #rstats package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome
#rvest #FIFAWorldCup
https://github.com/ikashnitsky/oddor