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domcrawlervsralger

MIT - 8 3,961
167.4 thousand (month) Sep 26 2011 v7.1.5(a month ago)
156 1 3 MIT
Dec 22 2019 289 (month) 2.2.4(3 years ago)

DOMCrawler library is part of the Symfony Components project and provides an easy way to traverse and manipulate HTML and XML documents using the Document Object Model (DOM) in PHP.

DOMcrawler supports both CSS selectors and XPath for HTML document parsing and is one the most popular HTML parsing tools used in web scraping with PHP.

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.

Example Use


use Symfony\Component\DomCrawler\Crawler;

$html = '<html><body><h1 class="title">Hello World</h1></body></html>';
$crawler = new Crawler($html);

// Find all elements using CSS selectors
$elements = $crawler->filter('.title')i;
// or XPath
$elements = $crawler->filterXPath('//h1');

// Print the text content of the elements
foreach ($elements as $element) {
    echo $element->textContent;
}
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

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