Question 5

Scraping a Directory
paths_allowed("https://en.wikipedia.org/wiki/2026_in_film")
##  en.wikipedia.org
## [1] TRUE

Question 6

Pulling Highest-grossing films data
library(rvest)
url <- "https://en.wikipedia.org/wiki/2026_in_film"
page <- read_html(url)

hg_table <- page %>%
  html_element("#Highest-grossing_films") %>%
  html_element(xpath = "following::table[1]") %>%
  html_table()

hg_table
## # A tibble: 10 × 4
##     Rank Title                             Distributor         `Worldwide gross`
##    <int> <chr>                             <chr>               <chr>            
##  1     1 Cheburashka 2 †                   Central Partnership $79,559,272      
##  2     2 28 Years Later: The Bone Temple † Sony                $56,794,677      
##  3     3 Send Help †                       20th Century Studi… $55,900,522      
##  4     4 Border 2 †                        AA Films            $51,204,000[3]   
##  5     5 Mercy †                           Amazon MGM Studios… $49,994,297      
##  6     6 Iron Lung †                       Markiplier Studios  $42,434,920      
##  7     7 Return to Silent Hill †           Iconic Events Rele… $41,586,056[4]   
##  8     8 Primate †                         Paramount Pictures  $39,722,402      
##  9     9 Dracula †                         SND (France)        $33,618,925      
## 10    10 Mana Shankara Vara Prasad Garu †  Gold Box Entertain… $32,225,000[5][6]