Skip to content

html5-phpvsfeedparser

MIT 34 5 1,609
200.2 thousand (month) Jun 01 2013 2.9.0(8 months ago)
1,992 9 92 NOASSERTION
Jun 15 2007 5.4 million (month) 6.0.11(a year 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.

feedparser is a Python module for downloading and parsing syndicated feeds. It can handle RSS 0.90, Netscape RSS 0.91, Userland RSS 0.91, RSS 0.92, RSS 0.93, RSS 0.94, RSS 1.0, RSS 2.0, Atom 0.3, Atom 1.0, and CDF feeds. It also parses several popular extension modules, including Dublin Core and Appleā€™s iTunes extensions.

To use Universal Feed Parser, you will need Python 3.6 or later. Universal Feed Parser is not meant to run standalone; it is a module for you to use as part of a larger Python program.

feedparser can be used to scrape data feeds as it can download them and parse the XML structured data.

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');
import feedparser

# the feed can be loaded from a remote URL
data = feedparser.parse('http://feedparser.org/docs/examples/atom10.xml')
# local path
data = feedparser.parse('/home/user/data.xml')
# or raw string
data = feedparser.parse('<xml>...</xml>')

# the result dataset is a nested python dictionary containing feed data:
data['feed']['title']

Alternatives / Similar


Was this page helpful?