lxml.html

Author: Ian Bicking

Since version 2.0, lxml comes with a dedicated Python package for dealing with HTML: lxml.html. It is based on lxml's HTML parser, but provides a special Element API for HTML elements, as well as a number of utilities for common HTML processing tasks.

Contents

The main API is based on the lxml.etree API, and thus, on the ElementTree API.

Parsing HTML

Parsing HTML fragments

There are several functions available to parse HTML:

parse(filename_url_or_file):

Parses the named file or url, or if the object has a .read() method, parses from that.

If you give a URL, or if the object has a .geturl() method (as file-like objects from urllib.urlopen() have), then that URL is used as the base URL. You can also provide an explicit base_url keyword argument.

document_fromstring(string):
Parses a document from the given string. This always creates a correct HTML document, which means the parent node is <html>, and there is a body and possibly a head.
fragment_fromstring(string, create_parent=False):
Returns an HTML fragment from a string. The fragment must contain just a single element, unless create_parent is given; e.g,. fragment_fromstring(string, create_parent='div') will wrap the element in a <div>.
fragments_fromstring(string):
Returns a list of the elements found in the fragment.
fromstring(string):
Returns document_fromstring or fragment_fromstring, based on whether the string looks like a full document, or just a fragment.

Really broken pages

The normal HTML parser is capable of handling broken HTML, but for pages that are far enough from HTML to call them 'tag soup', it may still fail to parse the page in a useful way. A way to deal with this is ElementSoup, which deploys the well-known BeautifulSoup parser to build an lxml HTML tree.

However, note that the most common problem with web pages is the lack of (or the existence of incorrect) encoding declarations. It is therefore often sufficient to only use the encoding detection of BeautifulSoup, called UnicodeDammit, and to leave the rest to lxml's own HTML parser, which is several times faster.

HTML Element Methods

HTML elements have all the methods that come with ElementTree, but also include some extra methods:

.drop_tree():
Drops the element and all its children. Unlike el.getparent().remove(el) this does not remove the tail text; with drop_tree the tail text is merged with the previous element.
.drop_tag():
Drops the tag, but keeps its children and text.
.find_class(class_name):
Returns a list of all the elements with the given CSS class name. Note that class names are space separated in HTML, so doc.find_class_name('highlight') will find an element like <div class="sidebar highlight">. Class names are case sensitive.
.find_rel_links(rel):
Returns a list of all the <a rel="{rel}"> elements. E.g., doc.find_rel_links('tag') returns all the links marked as tags.
.get_element_by_id(id, default=None):
Return the element with the given id, or the default if none is found. If there are multiple elements with the same id (which there shouldn't be, but there often is), this returns only the first.
.text_content():
Returns the text content of the element, including the text content of its children, with no markup.
.cssselect(expr):
Select elements from this element and its children, using a CSS selector expression. (Note that .xpath(expr) is also available as on all lxml elements.)
.label:
Returns the corresponding <label> element for this element, if any exists (None if there is none). Label elements have a label.for_element attribute that points back to the element.
.base_url:
The base URL for this element, if one was saved from the parsing. This attribute is not settable. Is None when no base URL was saved.
.classes:
Returns a set-like object that allows accessing and modifying the names in the 'class' attribute of the element. (New in lxml 3.5).

Running HTML doctests

One of the interesting modules in the lxml.html package deals with doctests. It can be hard to compare two HTML pages for equality, as whitespace differences aren't meaningful and the structural formatting can differ. This is even more a problem in doctests, where output is tested for equality and small differences in whitespace or the order of attributes can let a test fail. And given the verbosity of tag-based languages, it may take more than a quick look to find the actual differences in the doctest output.

Luckily, lxml provides the lxml.doctestcompare module that supports relaxed comparison of XML and HTML pages and provides a readable diff in the output when a test fails. The HTML comparison is most easily used by importing the usedoctest module in a doctest:

>>> import lxml.html.usedoctest

Now, if you have a HTML document and want to compare it to an expected result document in a doctest, you can do the following:

>>> import lxml.html
>>> html = lxml.html.fromstring('''\
...    <html><body onload="" color="white">
...      <p>Hi  !</p>
...    </body></html>
... ''')

>>> print lxml.html.tostring(html)
<html><body onload="" color="white"><p>Hi !</p></body></html>

>>> print lxml.html.tostring(html)
<html> <body color="white" onload=""> <p>Hi    !</p> </body> </html>

>>> print lxml.html.tostring(html)
<html>
  <body color="white" onload="">
    <p>Hi !</p>
  </body>
</html>

In documentation, you would likely prefer the pretty printed HTML output, as it is the most readable. However, the three documents are equivalent from the point of view of an HTML tool, so the doctest will silently accept any of the above. This allows you to concentrate on readability in your doctests, even if the real output is a straight ugly HTML one-liner.

Note that there is also an lxml.usedoctest module which you can import for XML comparisons. The HTML parser notably ignores namespaces and some other XMLisms.

Creating HTML with the E-factory

lxml.html comes with a predefined HTML vocabulary for the E-factory, originally written by Fredrik Lundh. This allows you to quickly generate HTML pages and fragments:

>>> from lxml.html import builder as E
>>> from lxml.html import usedoctest
>>> html = E.HTML(
...   E.HEAD(
...     E.LINK(rel="stylesheet", href="great.css", type="text/css"),
...     E.TITLE("Best Page Ever")
...   ),
...   E.BODY(
...     E.H1(E.CLASS("heading"), "Top News"),
...     E.P("World News only on this page", style="font-size: 200%"),
...     "Ah, and here's some more text, by the way.",
...     lxml.html.fromstring("<p>... and this is a parsed fragment ...</p>")
...   )
... )

>>> print lxml.html.tostring(html)
<html>
  <head>
    <link href="great.css" rel="stylesheet" type="text/css">
    <title>Best Page Ever</title>
  </head>
  <body>
    <h1 class="heading">Top News</h1>
    <p style="font-size: 200%">World News only on this page</p>
    Ah, and here's some more text, by the way.
    <p>... and this is a parsed fragment ...</p>
  </body>
</html>

Note that you should use lxml.html.tostring and not lxml.tostring. lxml.tostring(doc) will return the XML representation of the document, which is not valid HTML. In particular, things like <script src="..."></script> will be serialized as <script src="..." />, which completely confuses browsers.

Viewing your HTML

A handy method for viewing your HTML: lxml.html.open_in_browser(lxml_doc) will write the document to disk and open it in a browser (with the webbrowser module).

Forms

Any <form> elements in a document are available through the list doc.forms (e.g., doc.forms[0]). Form, input, select, and textarea elements each have special methods.

Input elements (including <select> and <textarea>) have these attributes:

.name:
The name of the element.
.value:

The value of an input, the content of a textarea, the selected option(s) of a select. This attribute can be set.

In the case of a select that takes multiple options (<select multiple>) this will be a set of the selected options; you can add or remove items to select and unselect the options.

Select attributes:

.value_options:
For select elements, this is all the possible values (the values of all the options).
.multiple:
For select elements, true if this is a <select multiple> element.

Input attributes:

.type:
The type attribute in <input> elements.
.checkable:
True if this can be checked (i.e., true for type=radio and type=checkbox).
.checked:
If this element is checkable, the checked state. Raises AttributeError on non-checkable inputs.

The form itself has these attributes:

.inputs:
A dictionary-like object that can be used to access input elements by name. When there are multiple input elements with the same name, this returns list-like structures that can also be used to access the options and their values as a group.
.fields:

A dictionary-like object used to access values by their name. form.inputs returns elements, this only returns values. Setting values in this dictionary will effect the form inputs. Basically form.fields[x] is equivalent to form.inputs[x].value and form.fields[x] = y is equivalent to form.inputs[x].value = y. (Note that sometimes form.inputs[x] returns a compound object, but these objects also have .value attributes.)

If you set this attribute, it is equivalent to form.fields.clear(); form.fields.update(new_value)

.form_values():
Returns a list of [(name, value), ...], suitable to be passed to urllib.urlencode() for form submission.
.action:
The action attribute. This is resolved to an absolute URL if possible.
.method:
The method attribute, which defaults to GET.

Form Filling Example

Note that you can change any of these attributes (values, method, action, etc) and then serialize the form to see the updated values. You can, for instance, do:

>>> from lxml.html import fromstring, tostring
>>> form_page = fromstring('''<html><body><form>
...   Your name: <input type="text" name="name"> <br>
...   Your phone: <input type="text" name="phone"> <br>
...   Your favorite pets: <br>
...   Dogs: <input type="checkbox" name="interest" value="dogs"> <br>
...   Cats: <input type="checkbox" name="interest" value="cats"> <br>
...   Llamas: <input type="checkbox" name="interest" value="llamas"> <br>
...   <input type="submit"></form></body></html>''')
>>> form = form_page.forms[0]
>>> form.fields = dict(
...     name='John Smith',
...     phone='555-555-3949',
...     interest=set(['cats', 'llamas']))
>>> print tostring(form)
<html>
  <body>
    <form>
    Your name:
      <input name="name" type="text" value="John Smith">
      <br>Your phone:
      <input name="phone" type="text" value="555-555-3949">
      <br>Your favorite pets:
      <br>Dogs:
      <input name="interest" type="checkbox" value="dogs">
      <br>Cats:
      <input checked name="interest" type="checkbox" value="cats">
      <br>Llamas:
      <input checked name="interest" type="checkbox" value="llamas">
      <br>
      <input type="submit">
    </form>
  </body>
</html>

Form Submission

You can submit a form with lxml.html.submit_form(form_element). This will return a file-like object (the result of urllib.urlopen()).

If you have extra input values you want to pass you can use the keyword argument extra_values, like extra_values={'submit': 'Yes!'}. This is the only way to get submit values into the form, as there is no state of "submitted" for these elements.

You can pass in an alternate opener with the open_http keyword argument, which is a function with the signature open_http(method, url, values).

Example:

>>> from lxml.html import parse, submit_form
>>> page = parse('http://tinyurl.com').getroot()
>>> page.forms[1].fields['url'] = 'http://lxml.de/'
>>> result = parse(submit_form(page.forms[1])).getroot()
>>> [a.attrib['href'] for a in result.xpath("//a[@target='_blank']")]
['http://tinyurl.com/2xae8s', 'http://preview.tinyurl.com/2xae8s']

Cleaning up HTML

The module lxml.html.clean provides a Cleaner class for cleaning up HTML pages. It supports removing embedded or script content, special tags, CSS style annotations and much more.

Say, you have an evil web page from an untrusted source that contains lots of content that upsets browsers and tries to run evil code on the client side:

>>> html = '''\
... <html>
...  <head>
...    <script type="text/javascript" src="evil-site"></script>
...    <link rel="alternate" type="text/rss" src="evil-rss">
...    <style>
...      body {background-image: url(javascript:do_evil)};
...      div {color: expression(evil)};
...    </style>
...  </head>
...  <body onload="evil_function()">
...    <!-- I am interpreted for EVIL! -->
...    <a href="javascript:evil_function()">a link</a>
...    <a href="#" onclick="evil_function()">another link</a>
...    <p onclick="evil_function()">a paragraph</p>
...    <div style="display: none">secret EVIL!</div>
...    <object> of EVIL! </object>
...    <iframe src="evil-site"></iframe>
...    <form action="evil-site">
...      Password: <input type="password" name="password">
...    </form>
...    <blink>annoying EVIL!</blink>
...    <a href="evil-site">spam spam SPAM!</a>
...    <image src="evil!">
...  </body>
... </html>'''

To remove the all suspicious content from this unparsed document, use the clean_html function:

>>> from lxml.html.clean import clean_html
>>> print clean_html(html)
<div><style>/* deleted */</style><body>

   <a href="">a link</a>
   <a href="#">another link</a>
   <p>a paragraph</p>
   <div>secret EVIL!</div>
    of EVIL!


     Password:
   annoying EVIL!<a href="evil-site">spam spam SPAM!</a>
   <img src="evil!"></body></div>

The Cleaner class supports several keyword arguments to control exactly which content is removed:

>>> from lxml.html.clean import Cleaner

>>> cleaner = Cleaner(page_structure=False, links=False)
>>> print cleaner.clean_html(html)
<html>
  <head>
    <link rel="alternate" src="evil-rss" type="text/rss">
    <style>/* deleted */</style>
  </head>
  <body>
    <a href="">a link</a>
    <a href="#">another link</a>
    <p>a paragraph</p>
    <div>secret EVIL!</div>
    of EVIL!
    Password:
    annoying EVIL!
    <a href="evil-site">spam spam SPAM!</a>
    <img src="evil!">
  </body>
</html>

>>> cleaner = Cleaner(style=True, links=True, add_nofollow=True,
...                   page_structure=False, safe_attrs_only=False)

>>> print cleaner.clean_html(html)
<html>
  <head>
  </head>
  <body>
    <a href="">a link</a>
    <a href="#">another link</a>
    <p>a paragraph</p>
    <div>secret EVIL!</div>
    of EVIL!
    Password:
    annoying EVIL!
    <a href="evil-site" rel="nofollow">spam spam SPAM!</a>
    <img src="evil!">
  </body>
</html>

You can also whitelist some otherwise dangerous content with Cleaner(host_whitelist=['www.youtube.com']), which would allow embedded media from YouTube, while still filtering out embedded media from other sites.

See the docstring of Cleaner for the details of what can be cleaned.

wordwrap

You can also wrap long words in your html:

word_break(doc, max_width=40, ...)

word_break_html(html, ...)

This finds any long words in the text of the document and inserts &#8203; in the document (which is the Unicode zero-width space).

This avoids the elements <pre>, <textarea>, and <code>. You can control this with avoid_elements=['textarea', ...].

It also avoids elements with the CSS class nobreak. You can control this with avoid_classes=['code', ...].

Lastly you can control the character that is inserted with break_character=u'\u200b'. However, you cannot insert markup, only text.

word_break_html(html) parses the HTML document and returns a string.

HTML Diff

The module lxml.html.diff offers some ways to visualize differences in HTML documents. These differences are content oriented. That is, changes in markup are largely ignored; only changes in the content itself are highlighted.

There are two ways to view differences: htmldiff and html_annotate. One shows differences with <ins> and <del>, while the other annotates a set of changes similar to svn blame. Both these functions operate on text, and work best with content fragments (only what goes in <body>), not complete documents.

Example of htmldiff:

>>> from lxml.html.diff import htmldiff, html_annotate
>>> doc1 = '''<p>Here is some text.</p>'''
>>> doc2 = '''<p>Here is <b>a lot</b> of <i>text</i>.</p>'''
>>> doc3 = '''<p>Here is <b>a little</b> <i>text</i>.</p>'''
>>> print htmldiff(doc1, doc2)
<p>Here is <ins><b>a lot</b> of <i>text</i>.</ins> <del>some text.</del> </p>
>>> print html_annotate([(doc1, 'author1'), (doc2, 'author2'),
...                      (doc3, 'author3')])
<p><span title="author1">Here is</span>
   <b><span title="author2">a</span>
   <span title="author3">little</span></b>
   <i><span title="author2">text</span></i>
   <span title="author2">.</span></p>

As you can see, it is imperfect as such things tend to be. On larger tracts of text with larger edits it will generally do better.

The html_annotate function can also take an optional second argument, markup. This is a function like markup(text, version) that returns the given text marked up with the given version. The default version, the output of which you see in the example, looks like:

def default_markup(text, version):
    return '<span title="%s">%s</span>' % (
        cgi.escape(unicode(version), 1), text)

Examples

Microformat Example

This example parses the hCard microformat.

First we get the page:

>>> import urllib
>>> from lxml.html import fromstring
>>> url = 'http://microformats.org/'
>>> content = urllib.urlopen(url).read()
>>> doc = fromstring(content)
>>> doc.make_links_absolute(url)

Then we create some objects to put the information in:

>>> class Card(object):
...     def __init__(self, **kw):
...         for name, value in kw:
...             setattr(self, name, value)
>>> class Phone(object):
...     def __init__(self, phone, types=()):
...         self.phone, self.types = phone, types

And some generally handy functions for microformats:

>>> def get_text(el, class_name):
...     els = el.find_class(class_name)
...     if els:
...         return els[0].text_content()
...     else:
...         return ''
>>> def get_value(el):
...     return get_text(el, 'value') or el.text_content()
>>> def get_all_texts(el, class_name):
...     return [e.text_content() for e in els.find_class(class_name)]
>>> def parse_addresses(el):
...     # Ideally this would parse street, etc.
...     return el.find_class('adr')

Then the parsing:

>>> for el in doc.find_class('hcard'):
...     card = Card()
...     card.el = el
...     card.fn = get_text(el, 'fn')
...     card.tels = []
...     for tel_el in card.find_class('tel'):
...         card.tels.append(Phone(get_value(tel_el),
...                                get_all_texts(tel_el, 'type')))
...     card.addresses = parse_addresses(el)
Generated on: 2015-11-13.