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ralgervscheerio

MIT 3 1 153
1.2 thousand (month) Dec 22 2019 2.2.4(3 years ago)
27,690 13 43 MIT
1.0.0-rc.12(4 months ago) Oct 08 2011 34.5 million (month)

ralger is a small web scraping framework for R based on rvest and xml2.

It's goal to simplify basic web scraping and it provides a convenient and easy to use API.

It offers functions for retrieving pages, parsing HTML using CSS selectors, automatic table parsing and auto link, title, image and paragraph extraction.

cheerio is a popular JavaScript library that allows you to interact with and manipulate HTML and XML documents in a similar way to how you would with jQuery in a browser. It is a fast, flexible, and lean implementation of core jQuery designed specifically for the server.

One of the main benefits of using cheerio is that it allows you to use jQuery-like syntax to navigate and m anipulate the Document Object Model (DOM) of an HTML or XML document, making it easy to work with.

cheerio supports CSS selectors though not XPath.

Example Use


library("ralger")

url <- "http://www.shanghairanking.com/rankings/arwu/2021"

# retrieve HTML and select elements using CSS selectors:
best_uni <- scrap(link = url, node = "a span", clean = TRUE)
head(best_uni, 5)
#>  [1] "Harvard University"
#>  [2] "Stanford University"
#>  [3] "University of Cambridge"
#>  [4] "Massachusetts Institute of Technology (MIT)"
#>  [5] "University of California, Berkeley"

# ralger can also parse HTML attributes
attributes <- attribute_scrap(
  link = "https://ropensci.org/",
  node = "a", # the a tag
  attr = "class" # getting the class attribute
)

head(attributes, 10) # NA values are a tags without a class attribute
#>  [1] "navbar-brand logo" "nav-link"          NA
#>  [4] NA                  NA                  "nav-link"
#>  [7] NA                  "nav-link"          NA
#> [10] NA
#

# ralger can automatically scrape tables:
data <- table_scrap(link ="https://www.boxofficemojo.com/chart/top_lifetime_gross/?area=XWW")

head(data)
#> # A tibble: 6 × 4
#>    Rank Title                                      `Lifetime Gross`  Year
#>   <int> <chr>                                      <chr>            <int>
#> 1     1 Avatar                                     $2,847,397,339    2009
#> 2     2 Avengers: Endgame                          $2,797,501,328    2019
#> 3     3 Titanic                                    $2,201,647,264    1997
#> 4     4 Star Wars: Episode VII - The Force Awakens $2,069,521,700    2015
#> 5     5 Avengers: Infinity War                     $2,048,359,754    2018
#> 6     6 Spider-Man: No Way Home                    $1,901,216,740    2021
const cheerio = require('cheerio');
const $ = cheerio.load('<html><head><title>My title</title></head><body><h1 class='name'>Hello World!</h1></body></html>');
// use css selectors
console.log($('title').text()); // My title
console.log($('.name').text()); // Hello World!

// select multiple elements
const $ = cheerio.load('<html><body><ul><li>item 1</li><li>item 2</li></ul></body></html>');
$('li').each(function(i, elem) {
  console.log($(this).text());
});

// modify elements
const $ = cheerio.load('<html><body><h1>Hello World!</h1></body></html>');
$('h1').text('Hello, Cheerio!');
console.log($.html());

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