How To Get HTML Source Of A Web Element In Selenium Using Python?

Ayush Mishra

Posted On: March 28, 2024

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Retrieving the page source of a website under scrutiny is a day-to-day task for most test automation engineers. Analysis of the page source helps eliminate bugs identified during regular website UI testing, functional testing, or security testing drills. In an extensively complex application testing process, automation test scripts can be written so that if errors are detected in the program, then it automatically.

  • saves that particular page’s source code.
  • notifies the person responsible for the URL of the page.
  • extracts the HTML source of a specific element or code-block and delegates it to responsible authorities if the error has occurred in one particular independent HTML WebElement or code block.

This is an easy way to trace, and fix logical and syntactical errors in the front-end code. In this article, we first understand the terminologies and then explore how to get the page source in Selenium WebDriver using Python.

If you’re looking to improve your Selenium interview skills, check out our curated list of Selenium interview questions and answers.

What is an HTML Page Source?

An HTML (Hypertext Markup Language) Page Source refers to the complete set of HTML code that constitutes a web page.

HTML source code of a webpage can be accessed by right-clicking on the page within most web browsers and choosing the option “View Page Source”. This allows users to inspect the underlying code that defines the structure and content of the webpage. Most importantly, testing HTML code in a cross browser testing environment becomes vital for testers and developers.

It is worth noting that the HTML <source> tag is not the same as the HTML page source.

What is an HTML Web Element?

An HTML Web Element is any HTML tag that constitutes the HTML page source code. It can be an HTML code block, an independent HTML tag like </br>, a media object on the web page – image, audio, video, a JS function, or even a JSON object wrapped within <script> </script> tags. These HTML web elements may have unique identifiers like IDs, names, or unique classes.

These elements can be extracted for testing using mechanisms like XPath in Selenium or CSS Selectors.

How to Get HTML Page Source in Selenium WebDriver Using Python?

Selenium WebDriver is a set of open-source APIs used to automate web application testing. It enables developers and testers to interact programmatically with various web elements to mimic user interaction and perform actions like clicking buttons, filling out forms, and navigating web pages.

Selenium WebDriver’s Python bindings offer three ways to retrieve the HTML source code of the web page. To download the Selenium Python bindings:

  • You may visit the official downloads page of Selenium
  • As an alternative, the Selenium package can be installed using pip. The pip is included in the standard library of Python 3.6. Use pip to install Selenium using the syntax as follows:

While you can retrieve the HTML source of specific web elements using Selenium WebDriver, using KaneAI by LambdaTest enhances this process.

KaneAI assists in identifying element-specific issues, such as incorrect locators or timing issues, and provides actionable insights for improving test accuracy across different browsers.

This AI-powered tool works seamlessly with Selenium, supporting Python, and helps in optimizing test cases with real-time suggestions, making debugging and execution smoother.

Let’s explore examples illustrating the three methods to get an HTML page source in Selenium WebDriver with Python.

Selenium Get HTML Page Source using driver.page_source

Selenium Python WebDriver provides an attribute, &#96page_source&#96, which allows us to retrieve the HTML page source code of a web page. Let’s see an example of fetching the page source of the LambdaTest E-commerce Website. This is a dummy website for automation testing, allowing us to practice and perform automation testing techniques. We use the &#96page_source&#96 attribute to fetch the html page source code and save its content to a file named “page_source.html.” This filename could be anything of your choice. Next, we read the file’s content and print it on the terminal before closing the driver.

Code:

test.py

Output Screen:

Output Screen

Code Walkthrough:

We will import the webdriver library to get the HTML page source.

import the webdriver library to get the HTML page source

We will create a new instance of the Chrome WebDriver and maximize the browser window to ensure the entire webpage is visible. The driver then opens the specified URL.

Chrome WebDriver and maximize the browser window

We will retrieve the HTML source code of the current webpage using driver.page_source and store it in the variable page_source. Then, we will print the page_source.

HTML source code of the current webpage

We will create a new file named “page_source.html” and write the webpage’s HTML source code into it, then close the file.

create a new file named page source html

We will close the Chrome browser window and end the WebDriver session.

Chrome browser window and end the WebDriver session

Selenium Get HTML Page Source using driver.execute_script

The execute_script method in Selenium Python WebDriver executes JavaScript in the current browser window or frame to get the HTML page source code of the web page. Here, we will execute a JavaScript that returns an HTML body element.

Code:

test.py

Output Screen:

Output Screen 2

Code Walkthrough:

We will use Selenium’s execute_script method to run JavaScript code that fetches the HTML content of the current page and assigns it to the variable page_source.

Selenium execute script method to run JavaScript code

Selenium Get HTML Page Source Using XPath

The XPath in Selenium Python WebDriver extracts the HTML page source by identifying the source element i.e. <html>. Let’s see the example of extracting the HTML page source code by identifying the source element using XPath.

Code:

test.py

Output Screen:

Output Screen 3

Code Walkthrough:

We will locate the first HTML element on the page using the XPath “//*” i.e. <html>, then extract the outer HTML content of the found element (which in our case entire html page source code).

locate the first HTML element on the page using the XPath

How to Get HTML Source of WebElement in Selenium WebDriver Using Python?

The get_attribute method in Selenium Python WebDriver is used to get the HTML source of the Web Element. Let’s understand by example in which we will grab and print the source code of the div containing the categories of products with id “entry_213259” as shown below in the given image.

Get HTML Source of WebElement in Selenium WebDriver Using Python

Code:

test.py

Output Screen:

Output Screen 4

Code Walkthrough:

We will use Selenium’s find_element method to locate an HTML element by its ID. This line extracts the outer HTML content of the found element (in our case, the element with ID “entry_213250”) and assigns it to the variable element_Source.

 Selenium find element method to locate an HTML element by its ID

Note: We can use various locators, such as id, name, XPath, and CSS Selector, to find the element depending on requirements.

How to Retrieve JSON Data From an HTML Page in Selenium WebDriver Using Python?

Modern applications often rely on multiple APIs, with dynamic content updates using JSON objects instead of XML responses. As a proficient Selenium Python tester, it’s essential to handle JSON objects, particularly those embedded within `<script>` HTML tags. Python offers a built-in JSON library for effective experimentation with JSON objects. Let’s see an example of fetching the JSON data from an HTML Page Source.

Code:

test.py

Output Screen:

Retrieve JSON Data From an HTML Page in Selenium WebDriver Using Python

Code Walkthrough:

We will import all the libraries to get the JSON data from an HTML page source.

libraries to get the JSON data from an HTML page source

We will create a new instance of Chrome driver, launch the driver in full-screen mode, and load the LambdaTest E-commerce Website home page.

Chrome driver, launch the driver in full-screen mode

We will find the JSON objects in the HTML page source of the LambdaTest E-commerce Website.

 JSON objects in the HTML page source of the LambdaTest

Now, we will load and print the JSON data from the HTML page source.

 JSON data from the HTML page source

Lastly, we will quit the driver.

quit the driver

Retrieving The Earlier JSON Data From an HTML Page Source Using Selenium Cloud Grid

Cloud Selenium services automatically update their browser environments. Extracting HTML page source from up-to-date browsers ensures compatibility and helps identify issues related to the latest browser versions. We will maintain a hybrid testing approach, enabling seamless transitions between local and cloud-based environments, such as LambdaTest cloud platform.

LambdaTest is an AI-powered test orchestration and execution platform. LambdaTest’s scalable infrastructure make it a reliable and cost-effective solution for obtaining HTML source code with the latest compatibility and efficiency.

Follow these easy steps before running a Python test on LambdaTest:

  1. Create an account on LambdaTest.
  2. Navigate to your LambdaTest build directory.
  3. Select “Access Key” located at the top-right corner.
  4. Copy both your Username and Access Key from the displayed popup modal.

Code:

test.py

Output Screen:

Output Screen 5

Code Walkthrough:

Add your credentials in this section to enable LambdaTest to execute tests using your account. Get the username and access key from the LambdaTest Dashboard, then copy and paste them into your code.

credentials in this section to enable LambdaTest to execute tests

Access your desired capabilities that can be generated from the LambdaTest capabilities generator.

desired capabilities that can be generated from the LambdaTest capabilities generator

Provide the remote URL for running a test over the LambdaTest Selenium Cloud.

 remote URL for running a test over the LambdaTest Selenium Cloud

Conclusion

In conclusion, retrieving HTML page sources in Selenium using Python is essential for identifying and rectifying issues across various website testing scenarios. The ability to dissect and analyze the HTML page source provides testers with a powerful tool to enhance the reliability and resilience of web applications. This blog covered all the essential ways to extract the HTML page source and web element in Selenium using Python to enhance the quality and resilience of modern web systems.

Frequently Asked Questions (FAQs)

Why is extracting HTML page sources important in web testing?

Extracting HTML page sources is essential in web testing for detailed analysis, bug identification, and understanding the structure of web elements. It provides insights into the rendered content and aids in debugging and troubleshooting.

How does HTML page source extraction help in cross-browser testing?

Extracting HTML page sources helps verify the consistency of the rendered content across different browsers and platforms. Testers can analyze the source to identify any discrepancies and ensure cross-browser compatibility.

What is outerHTML?

An outerHTML is a JavaScript property that represents the entire HTML serialization of an element and its descendants. It includes the HTML tag of the element itself and all of its content, making it a convenient way to access the entire HTML structure of a specific element in a document.

What is innerHTML?

An innerHTML is a JavaScript property used to get or set the HTML content of an element. It allows us to retrieve the HTML content as a string or replace it with new HTML content.

What is JSON data?

JSON is a lightweight data-interchange format. It uses key-value pairs to represent structured data, providing a readable and easy-to-parse format for data exchange between applications.

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Ayush Mishra

Ayush Mishra is a passionate tech enthusiast with a fervent curiosity for emerging technologies. My expertise lies in areas such as front end web development and machine learning. With a penchant for problem-solving, I relish delving into complex tech challenges and am committed to pushing the boundaries of innovation.

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