When it comes to parsing web-scraped HTML content, there are multiple techniques to select the data we want.
For simple text parsing, regular expression can be used, but HTML is designed to be a machine-readable text structure. We can take advantage of this fact and use special path languages like CSS selectors and XPath to extract data in a much more efficient and reliable way!
You are probably familiar with CSS selectors from the style sheet documents (.css) however, XPath goes beyond that and implements full document navigation in its own unique syntax.
In this article, we'll be taking a deep look at this unique path language and how can it be used to extract needed details from modern, complex HTML documents. We'll start with a quick introduction and expression cheatsheet and explore concepts using an interactive XPath tester.
Finally, we'll wrap up by covering XPath implementations in various programming languages and some common idioms and tips when it comes to XPath in web scraping. Let's dive in!
What is Xpath?
XPath stands for "XML Path Language" which essentially means it's a query language that described a path from point A to point B for XML/HTML type of documents.
Other path languages you might know of are CSS selectors which usually describe paths for applying styles, or tool-specific languages like jq which describe paths for JSON-type documents.
For HTML parsing, Xpath has some advantages over CSS selectors:
Xpath can traverse HTML trees in every direction and is location-aware.
Xpath can transform results before returning them.
Xpath is easily extendable with additional functionality.
Before we dig into Xpath let's have a quick overview of HTML itself and how it enables xpath language to find anything with the right instructions.
HTML Overview
HTML (HyperText Markup Language) is designed to be easily machine-readable and parsable. In other words, HTML follows a tree-like structure of nodes and their attributes, which we can easily navigate programmatically.
Let's start off with a small example page and illustrate its structure:
In this basic example of a simple web page, we can see that the document already resembles a data tree. Let's go a bit further and illustrate this:
HTML tree is made of nodes which can contain attributes such as classes, ids and text itself.
Here we can wrap our heads around it a bit more easily: it's a tree of nodes and each node can also have properties attached to them like keyword attributes (like class and href) and natural attributes such as text.
Now that we're familiar with HTML let's familiarize ourselves with Xpath itself!
Xpath Syntax Overview
Xpath selectors are usually referred to as "xpaths" and a single xpath indicates a destination from the root to the desired endpoint. It's a rather unique path language, so let's start off with a quick glance over basic syntax.
Average xpath selector in web scraping often looks something like this:
illustration of a usual xpath selector's structure
In this example, XPath would select href attribute of an <a> node that has a class "button" which is also directly under <div> node:
Xpath selectors are made up of multiple expressions joined together into a single string. Let's see the most commonly used expressions in this XPath cheat sheet:
expression
description
/node
selects a direct child that matches node name.
//node
selects any descendant - child, grandchild, gran-grandchild etc.
*
wildcard can be used instead of node name
@
selects an attribute of a node e.g. a/@href will select value of href attribute of an a node
text()
selects text value of a node
[]
selector constraint - can be used to filter out nodes that do no match some condition
parent or ..
select current nodes parent e.g. /div/a/.. will select div element
self or .
select current node (this is useful as argument in xpath function, we'll cover more later)
following-sibling::node
selects all following siblings of type, e.g. following-sibling::div will select all div siblings below the current node
preceding-sibling::node
selects all preceding siblings of type, e.g. preceding-sibling::div will select all div siblings below the current node
function()
calls registered xpath function e.g. /a/text() will return text value of a node
Let's solidify this knowledge with some real-life examples.
Basic Navigation
When writing xpaths the first thing we should be aware of is that all xpaths have to have a root (aka point A) and final target (aka point B). Knowing this and xpath axis syntax, we can start describing our selector path:
<div>
<p class="socials">
Follow us on
<a href="https://twitter.com/@scrapfly_dev">Twitter!</a>
</p>
</div>
Here, our simple xpath simply describes a path from the root to the a node.
All we used is / direct child syntax, however with big documents direct xpaths are often unreliable as any changes to the tree structure or order will break our path.
It's better to design our xpaths around some smart context. For example, here we can see that this <a> node is under <p class="socials"> node - we can infer strong sense that these two will most likely go together:
<div>
<p class="socials">
Follow us on
<a href="https://twitter.com/@scrapfly_dev">Twitter!</a>
</p>
</div>
With this xpath, we get rid a lot of structure dependency in favor of context. Generally, modern websites have much more stable contexts than structures, and finding the right balance between context and structure is what creates reliable xpaths!
Further, we can combine constrains option ([]) with value testing functions such as contains() to make our xpath even more reliable:
<div>
<p class="socials">
Follow us on
<a href="https://twitter.com/@scrapfly_dev">Twitter!</a>
</p>
</div>
Using XPath contains() text function, we can filter out any results that don't contain a piece of text.
Xpath functions are very powerful and not only they can check for truthfulness but also modify content during runtime:
<div>
<p class="socials">
Follow us on
<a href="https://twitter.com/@scrapfly_dev">Twitter!</a>
or connect with us on
<a href="https://www.linkedin.com/company/scrapfly/">Linkedin</a>
</p>
</div>
Here, we've added concat() function, which joins all provided arguments into a single value and only then perform our match check.
Navigating Complex Structures
Sometimes tree complexity outgrows context based selectors and we have to implement some complex structure checks. For that, xpath has powerful tree navigation features that allow to select ancestors and siblings of any level:
In this example, we used position() function to select only siblings that are in specific range. We also combined to xpaths using the | operator (for or operation or operator can being used) to fully retrieve all pricing info.
As you can see, xpaths can be very powerful and parse almost any html structure if we get creative with path logic!
Extending Functions
Xpath in most clients can be extended with additional functions, and some clients even come with pre-registered non-standard functions.
For example, in Python's lxml (and it's based packages like parsel) we can easily register new functions like this:
Almost every programming language contains some sort of xpath client for XML file parsing. Since HTML is just a subset of XML we can safely use xpath in almost every modern language!
Xpath in Python
In Python there are multiple packages that implement xpath functionality, however most of them are based on lxml package which is a pythonic binding of libxml2 and libxslt C language libraries. This means Xpath selectors in Python are blazing fast, as it's using powerful C components under the hood.
While lxml is a great wrapper, it lacks a lot of modern API usability features used in web scraping. For this, lxml based packages parsel (used by scrapy) and pyquery provide a richer feature set.
from parsel import Selector
html = """
<html>
<head>
<title>Page Title</title>
</head>
<body>
<h1 class="title">Page header by <a href="#">company</a></h1>
<p>This is the first paragraph</p>
<p>This is the second paragraph</p>
</body>
</html>
"""
sel = Selector(html)
sel.xpath("//p").getall()
# [
# "<p>This is the first paragraph</p>",
# "<p>This is the second paragraph</p>",
# ]
Other tool recommendations:
cssselect - converts css selectors to xpath selectors
parsel-cli - real time REPL for testing css/xpath selectors
Xpath in PHP
In PHP most popular xpath processor is Symphony's DomCrawler:
use Symfony\Component\DomCrawler\Crawler;
$html = <<<'HTML'
<html>
<head>
<title>Page Title</title>
</head>
<body>
<h1 class="title">Page header by <a href="#">company</a></h1>
<p>This is the first paragraph</p>
<p>This is the second paragraph</p>
</body>
</html>
HTML;
$crawler = new Crawler($html);
$crawler->filterXPath('//p');
Other tool recommendations:
css-selector - converts css selectors to xpath selectors
Most other languages have some sort of XPath client as XML parsing is an important data exchange feature. Meaning, we can parse web-scraped content in the language of our choice!
For example, C# supports XPath natively as well, you can read more about it over at the official documentation so does Objecive C and other low-level languages.
While some languages might not have first-party XPath clients it's very likely there's a community package. For example, Go language has community packages for xpath in xml, html and even json.
Xpath in Browser Automation
Browser automation tools support XPath without any additional Javascript packages.
To access XPath in Selenium we can use by.XPath selector. For example, for Selenium in Python:
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome()
driver.get("https://httpbin.org/html")
element = driver.find_element(By.XPATH, '//p')
To access XPath in Playwright we can use the locator functionality which take either CSS selectors or XPath as the argument. For example in Playwright and Python:
from playwright.sync_api import sync_playwright
with sync_playwright() as pw:
browser = pw.chromium.launch(headless=False)
context = browser.new_context(viewport={"width": 1920, "height": 1080})
page = context.new_page()
page.goto("http://httpbin.org/html")
paragraphs = page.locator("//p") # this can also take CSS selectors
To access XPath in Puppeteer we can use the $ and $$ methods. For example in Puppeteer in Javascript:
To wrap this introduction up let's take a look at some frequently asked questions regarding HTML parsing using XPath selectors:
Is XPATH faster than CSS selectors?
Many CSS selector libraries convert CSS selectors to XPATH because it's faster and more powerful. That being said it depends on each individual library and complexity of the selector itself. Some XPATH selectors which use broad selection paths like // can be very expensive computationally.
My xpath selects more data than it should
XPATH broad selector paths like // are global rather than relative. To make them relative we must add the relativity marker . -> .//
How to match nodes by multiple names?
To match nodes by multiple names we can use wildcard selector together with a name check condition: //*[contains("p h1 head", name())] - will select h1, p and head nodes.
How to select select elements between two nodes?
If we know two nodes like text headers we can select text between with clever use of preceding-sibling notation: //h2[@id="faq"]//following-sibling::p[(preceding-sibling::h2[1])[@id="faq"]] - this xpath selects all paragraph nodes under h2 tag with id faq and not elements under other h2 nodes.
In this article, we've introduced ourselves with xpath query language. We've discovered that HTML documents are data trees with nodes and attributes which can be machine parsed efficiently.
We glanced over the most commonly used XPath syntax and functions and explored common HTML parsing scenarios and best practices using our interactive XPath tester.
Xpath is a very powerful and flexible path language that is supported in many low-level and high-level languages: Python, PHP, Javascript etc. - so, whatever stack you're using for web-scraping, XPath can be your to-go tool for HTML parsing!
Learn about the fundamentals of parsing data, across formats like JSON, XML, HTML, and PDFs. Learn how to use Python parsers and AI models for efficient data extraction.
