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# XPath Selectors

When you’re scraping web pages, the most common task you need to perform is to extract data from the HTML source. There are several libraries available to achieve this:

> - BeautifulSoup is a very popular screen scraping library among Python programmers which constructs a Python object based on the structure of the HTML code and also deals with bad markup reasonably well, but it has one drawback: it’s slow.
> - lxml is a XML parsing library (which also parses HTML) with a pythonic API based on ElementTree (which is not part of the Python standard library).

Scrapy comes with its own mechanism for extracting data. They’re called XPath selectors (or just “selectors”, for short) because they “select” certain parts of the HTML document specified by XPath expressions.

XPath is a language for selecting nodes in XML documents, which can also be used with HTML.

Both lxml and Scrapy Selectors are built over the libxml2 library, which means they’re very similar in speed and parsing accuracy.

This page explains how selectors work and describes their API which is very small and simple, unlike the lxml API which is much bigger because the lxml library can be used for many other tasks, besides selecting markup documents.

For a complete reference of the selectors API see the XPath selector reference.

## Using selectors

### Constructing selectors

There are two types of selectors bundled with Scrapy. Those are:

> - `HtmlXPathSelector` - for working with HTML documents
> - `XmlXPathSelector` - for working with XML documents

Both share the same selector API, and are constructed with a Response object as their first parameter. This is the Response they’re going to be “selecting”.

Example:

    hxs = HtmlXPathSelector(response) # a HTML selector
    xxs = XmlXPathSelector(response) # a XML selector

### Using selectors with XPaths

To explain how to use the selectors we’ll use the Scrapy shell (which provides interactive testing) and an example page located in the Scrapy documentation server:

> http://doc.scrapy.org/_static/selectors-sample1.html

Here’s its HTML code:

    <html>
     <head>
      <base href='http://example.com/' />
      <title>Example website</title>
     </head>
     <body>
      <div id='images'>
       <a href='image1.html'>Name: My image 1 <br /><img src='image1_thumb.jpg' /></a>
       <a href='image2.html'>Name: My image 2 <br /><img src='image2_thumb.jpg' /></a>
       <a href='image3.html'>Name: My image 3 <br /><img src='image3_thumb.jpg' /></a>
       <a href='image4.html'>Name: My image 4 <br /><img src='image4_thumb.jpg' /></a>
       <a href='image5.html'>Name: My image 5 <br /><img src='image5_thumb.jpg' /></a>
      </div>
     </body>
    </html>

First, let’s open the shell:

    scrapy shell http://doc.scrapy.org/_static/selectors-sample1.html

Then, after the shell loads, you’ll have some selectors already instantiated and ready to use.

Since we’re dealing with HTML, we’ll be using the `HtmlXPathSelector` object which is found, by default, in the `hxs` shell variable.

So, by looking at the HTML code of that page, let’s construct an XPath (using an HTML selector) for selecting the text inside the title tag:

    >>> hxs.select('//title/text()')
    [<HtmlXPathSelector (text) xpath=//title/text()>]

As you can see, the select() method returns an XPathSelectorList, which is a list of new selectors. This API can be used quickly for extracting nested data.

To actually extract the textual data, you must call the selector `extract()` method, as follows:

    >>> hxs.select('//title/text()').extract()
    [u'Example website']

Now we’re going to get the base URL and some image links:

    >>> hxs.select('//base/@href').extract()
    [u'http://example.com/']

    >>> hxs.select('//a[contains(@href, "image")]/@href').extract()
    [u'image1.html',
     u'image2.html',
     u'image3.html',
     u'image4.html',
     u'image5.html']

    >>> hxs.select('//a[contains(@href, "image")]/img/@src').extract()
    [u'image1_thumb.jpg',
     u'image2_thumb.jpg',
     u'image3_thumb.jpg',
     u'image4_thumb.jpg',
     u'image5_thumb.jpg']

### Using selectors with regular expressions

Selectors also have a `re()` method for extracting data using regular expressions. However, unlike using the `select()` method, the `re()` method does not return a list of `XPathSelector` objects, so you can’t construct nested `.re()` calls.

Here’s an example used to extract images names from the HTML code above:

    >>> hxs.select('//a[contains(@href, "image")]/text()').re(r'Name:\s*(.*)')
    [u'My image 1',
     u'My image 2',
     u'My image 3',
     u'My image 4',
     u'My image 5']

### Nesting selectors

The `select()` selector method returns a list of selectors, so you can call the `select()` for those selectors too. Here’s an example:

    >>> links = hxs.select('//a[contains(@href, "image")]')
    >>> links.extract()
    [u'<a href="image1.html">Name: My image 1 <br><img src="image1_thumb.jpg"></a>',
     u'<a href="image2.html">Name: My image 2 <br><img src="image2_thumb.jpg"></a>',
     u'<a href="image3.html">Name: My image 3 <br><img src="image3_thumb.jpg"></a>',
     u'<a href="image4.html">Name: My image 4 <br><img src="image4_thumb.jpg"></a>',
     u'<a href="image5.html">Name: My image 5 <br><img src="image5_thumb.jpg"></a>']

    >>> for index, link in enumerate(links):
            args = (index, link.select('@href').extract(), link.select('img/@src').extract())
            print 'Link number %d points to url %s and image %s' % args

    Link number 0 points to url [u'image1.html'] and image [u'image1_thumb.jpg']
    Link number 1 points to url [u'image2.html'] and image [u'image2_thumb.jpg']
    Link number 2 points to url [u'image3.html'] and image [u'image3_thumb.jpg']
    Link number 3 points to url [u'image4.html'] and image [u'image4_thumb.jpg']
    Link number 4 points to url [u'image5.html'] and image [u'image5_thumb.jpg']

### Working with relative XPaths

Keep in mind that if you are nesting XPathSelectors and use an XPath that starts with `/`, that XPath will be absolute to the document and not relative to the `XPathSelector` you’re calling it from.

For example, suppose you want to extract all `<p>` elements inside `<div>` elements. First, you would get all `<div>` elements:

    >>> divs = hxs.select('//div')

At first, you may be tempted to use the following approach, which is wrong, as it actually extracts all `<p>` elements from the document, not only those inside `<div>` elements:

    >>> for p in divs.select('//p') # this is wrong - gets all <p> from the whole document
    >>>     print p.extract()

This is the proper way to do it (note the dot prefixing the `.//p` XPath):

    >>> for p in divs.select('.//p') # extracts all <p> inside
    >>>     print p.extract()

Another common case would be to extract all direct `<p>` children:

    >>> for p in divs.select('p')
    >>>     print p.extract()

For more details about relative XPaths see the Location Paths section in the XPath specification.

## Built-in XPath Selectors reference

There are two types of selectors bundled with Scrapy: `HtmlXPathSelector` and `XmlXPathSelector`. Both of them implement the same `XPathSelector` interface. The only different is that one is used to process HTML data and the other XML data.

### XPathSelector objects

class `scrapy.selector.``XPathSelector`(response)

  A `XPathSelector` object is a wrapper over response to select certain parts of its content.

  `response` is a `Response` object that will be used for selecting and extracting data

  `select`(xpath)

    Apply the given XPath relative to this XPathSelector and return a list of `XPathSelector` objects (ie. a `XPathSelectorList`) with the result.

    `xpath` is a string containing the XPath to apply

  `re`(regex)

    Apply the given regex and return a list of unicode strings with the matches.

    `regex` can be either a compiled regular expression or a string which will be compiled to a regular expression using `re.compile(regex)`

  `extract`()

    Return a unicode string with the content of this `XPathSelector` object.

  `register_namespace`(prefix, uri)

    Register the given namespace to be used in this `XPathSelector`. Without registering namespaces you can’t select or extract data from non-standard namespaces. See examples below.

  `__nonzero__`()

    Returns `True` if there is any real content selected by this `XPathSelector` or `False` otherwise. In other words, the boolean value of an XPathSelector is given by the contents it selects.

### XPathSelectorList objects

class `scrapy.selector.``XPathSelectorList`

  The `XPathSelectorList` class is subclass of the builtin `list` class, which provides a few additional methods.

  `select`(xpath)

    Call the `XPathSelector.select()` method for all `XPathSelector` objects in this list and return their results flattened, as a new `XPathSelectorList`.

    `xpath` is the same argument as the one in `XPathSelector.select()`

  `re`(regex)

    Call the `XPathSelector.re()` method for all `XPathSelector` objects in this list and return their results flattened, as a list of unicode strings.

    `regex` is the same argument as the one in `XPathSelector.re()`

  `extract`()

    Call the `XPathSelector.extract()` method for all `XPathSelector` objects in this list and return their results flattened, as a list of unicode strings.

  `extract_unquoted`()

    Call the `XPathSelector.extract_unoquoted()` method for all `XPathSelector` objects in this list and return their results flattened, as a list of unicode strings. This method should not be applied to all kinds of XPathSelectors. For more info see `XPathSelector.extract_unoquoted()`.

### HtmlXPathSelector objects

class `scrapy.selector.``HtmlXPathSelector`(response)

  A subclass of `XPathSelector` for working with HTML content. It uses the libxml2 HTML parser. See the `XPathSelector` API for more info.

#### HtmlXPathSelector examples

Here’s a couple of `HtmlXPathSelector` examples to illustrate several concepts. In all cases, we assume there is already an `HtmlPathSelector` instantiated with a `Response` object like this:

    x = HtmlXPathSelector(html_response)

1. Select all `<h1>` elements from a HTML response body, returning a list of `XPathSelector` objects (ie. a `XPathSelectorList` object):

       x.select("//h1")

2. Extract the text of all `<h1>` elements from a HTML response body, returning a list of unicode strings:

       x.select("//h1").extract()         # this includes the h1 tag
       x.select("//h1/text()").extract()  # this excludes the h1 tag

3. Iterate over all `<p>` tags and print their class attribute:

       for node in x.select("//p"):
       ...    print node.select("@href")

4. Extract textual data from all `<p>` tags without entities, as a list of unicode strings:

       x.select("//p/text()").extract_unquoted()

       # the following line is wrong. extract_unquoted() should only be used
       # with textual XPathSelectors
       x.select("//p").extract_unquoted()  # it may work but output is unpredictable

### XmlXPathSelector objects

class `scrapy.selector.``XmlXPathSelector`(response)

  A subclass of `XPathSelector` for working with XML content. It uses the libxml2 XML parser. See the `XPathSelector` API for more info.

#### XmlXPathSelector examples

Here’s a couple of `XmlXPathSelector` examples to illustrate several concepts. In all cases we assume there is already a `XmlPathSelector` instantiated with a `Response` object like this:

    x = HtmlXPathSelector(xml_response)

1. Select all `<product>` elements from a XML response body, returning a list of `XPathSelector` objects (ie. a `XPathSelectorList` object):

       x.select("//h1")

2. Extract all prices from a Google Base XML feed which requires registering a namespace:

       x.register_namespace("g", "http://base.google.com/ns/1.0")
       x.select("//g:price").extract()

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