Assignment_3

Package load

library(robotstxt)
library(rvest)

Pre-scraping check (Q5)

paths_allowed("https://en.wikipedia.org/wiki/2024_in_film")

##  en.wikipedia.org

## [1] TRUE

Webscraping

film <- read_html("https://en.wikipedia.org/wiki/2024_in_film")

Select the table elements

tbs <- html_elements(film, "table")

Parse the html_table into a dataframe (Q6)

film_2024 <- html_table(tbs[[2]])
film_2024

## # A tibble: 10 × 4
##     Rank Title                           Distributor  `Worldwide gross`
##    <int> <chr>                           <chr>        <chr>            
##  1     1 Inside Out 2                    Disney       $1,698,863,816   
##  2     2 Deadpool & Wolverine            Disney       $1,338,073,645   
##  3     3 Moana 2                         Disney       $1,059,242,164   
##  4     4 Despicable Me 4                 Universal    $971,315,095     
##  5     5 Wicked                          Universal    $756,535,681     
##  6     6 Mufasa: The Lion King           Disney       $723,060,982     
##  7     7 Dune: Part Two                  Warner Bros. $715,409,065     
##  8     8 Godzilla x Kong: The New Empire Warner Bros. $572,505,338     
##  9     9 Kung Fu Panda 4                 Universal    $547,689,492     
## 10    10 Sonic the Hedgehog 3            Paramount    $492,162,604