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html5-phpvsralger

MIT 32 5 1,516
166.6 thousand (month) Jun 01 2013 2.9.0(3 months ago)
152 1 3 MIT
Dec 22 2019 1.0 thousand (month) 2.2.4(3 years ago)

HTML5 is a standards-compliant HTML5 parser and writer written entirely in PHP. It is stable and used in many production websites, and has well over five million downloads.

HTML5 provides the following features:

  • An HTML5 serializer
  • Support for PHP namespaces
  • Composer support
  • Event-based (SAX-like) parser
  • A DOM tree builder
  • Interoperability with QueryPath
  • Runs on PHP 5.3.0 or newer

Note that html5-php is a low-level HTML parser and does not feature any query features like CSS selectors.

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


<?php
// Assuming you installed from Composer:
require "vendor/autoload.php";

use Masterminds\HTML5;

// An example HTML document:
$html = <<< 'HERE'
  <html>
  <head>
    <title>TEST</title>
  </head>
  <body id='foo'>
    <h1>Hello World</h1>
    <p>This is a test of the HTML5 parser.</p>
  </body>
  </html>
HERE;

// Parse the document. $dom is a DOMDocument.
$html5 = new HTML5();
$dom = $html5->loadHTML($html);

// Render it as HTML5:
print $html5->saveHTML($dom);

// Or save it to a file:
$html5->save($dom, 'out.html');
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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