Find_Elements_by_Xpath() using Selenium Python17 Mar 2025 | 4 min read Selenium is basically a powerful tool for automating web browsers and testing web applications. It provides a wide range of methods and techniques to interact with web elements. One of the most commonly used methods is find_elements_by_xpath(). This method allows you to locate elements on a web page using XPath expressions. Understanding XPathThe language known as XPath can be used to browse both HTML and XML texts. It enables you to provide a path to elements depending on their characteristics, structure, or content. As a result, it is an effective tool for finding elements on a webpage. XPath expressions can be absolute or relative. An absolute XPath expression starts from the root of the document, while a relative XPath expression starts from the current node. Relative XPaths are generally preferred as they are more flexible and less likely to break when the structure of the webpage changes. Install Selenium:Open your terminal or command prompt and run the following command to install the Selenium package: This command will download and install the Selenium package along with its dependencies. ![]() Install lxml:Syntax: ![]() Examples1) Using tag name:Python Code: Browser Output: ![]() Terminal Output: ![]() 2) Using class name:Python Code: Browser Output: ![]() Terminal Output: ![]() Advantages of XPath:1. Powerful and Flexible: XPath allows you to select complex and precise elements. It can navigate the entire structure of an XML or HTML document, enabling you to target elements based on various criteria. 2. Location Strategies: XPath provides multiple location strategies, allowing you to select elements by tag name, attribute value, text content, position, and more. This versatility makes it a valuable tool for locating elements in different scenarios. 3. Traversal and Relationships: The document tree can be navigated using XPath in both ways (up and down). As a result, you can choose elements based on how they are related to other elements, such as parent, child, sibling, etc. 4. Relative XPaths: Relative XPaths are not tied to the absolute structure of the document, which makes them more robust to changes in the page structure. This is crucial for maintaining automation scripts in dynamic web environments. 5. Support for Attributes: XPath allows you to target elements based on their attributes (e.g., id, class, name, etc.), providing a powerful mechanism for element identification. 6. Wide Applicability: XPath is not limited to web scraping or automation. It is also widely used in other domains like XML parsing, data extraction, and transformation. Disadvantages of XPath:1. Complexity: XPath expressions can become complex, especially for intricate selections. This can lead to longer and potentially harder to maintain-XPath queries. 2. Performance Impact: Poorly constructed XPath queries can lead to slower performance, especially when used in scenarios where elements are numerous or deeply nested. 3. Browser Dependency: XPath expressions can behave differently in different browsers. What works in one browser may not work as expected in another, so it's essential to test your XPath expressions across different browsers. 4. Learning Curve: Understanding the syntax and best practices for XPath can be challenging for individuals who are just getting started. Being skilled could require some time and practice. 5. Not Ideal for Dynamic Content: XPath is less suitable for dynamically generated content or situations where elements may change attributes or structure after page load, as it may lead to brittle selectors. 6. Limited to DOM Structure: XPath is designed for selecting elements within the Document Object Model (DOM). It may not be suitable for tasks that involve non-DOM elements or actions (e.g., handling JavaScript alerts). ConclusionUsing find_elements_by_xpath() with Selenium in Python provides a powerful way to locate and interact with elements on a webpage. By understanding XPath syntax and applying it effectively, you can automate a wide range of tasks in web testing and scraping. Remember to use relative XPaths whenever possible, as they are more robust to changes in the webpage structure. Additionally, consider using waits to ensure that the elements you're looking for are present before interacting with them. With the knowledge of XPath and Selenium, you're equipped to automate web interactions and efficiently test web applications. Next TopicBack Driver Method - Selenium Python |
In the following tutorial, we will understand how to create a Body Mass Index (BMI) Calculator with the help of the Python programming language. But we get started creating one; let us briefly discuss what Body Mass Index (BMI) is. Understanding the Body Mass Index (BMI) BMI, short...
4 min read
? Using Python's tolist() function, you may turn an array into a list. Here is an example: import array arr = array.array("i", [1, 2, 3, 4, 5]) lst = arr.tolist() print(type(lst)) # <class 'list'> print(lst) Output: [1, 2, 3, 4, 5] In this example, the array.array() constructor is used to create an array arr...
2 min read
How to Print Pattern in Python In Python, for loop is used to print the various patterns. Printing the various patterns are most common asked programming questions in the interview. The multiple for loops are used to print the patterns where the first outer loop is used...
25 min read
To make small-scale projects, such as the Text-based User Interface (TUI) dice-rolling application, can help us build the level of our Python programming capabilities. We will learn to collect and verify the input of the user, import code from packages and modules, use write-functions, utilize to...
20 min read
In this tutorial, we will write the Python program for the stock span problem. It is quite popular programming problem that is frequently asked in technical interviews. The stock span problem is a financial challenge that involves analyzing a series of N daily price quotes for...
7 min read
Introduction Urban planning and environmental tracking benefit greatly from using geospatial data, which is information about locations on the surface of the Earth. The Folium module is one of Python's greatest geographic data manipulation and visualization tools. A Python module called Folium makes it easier to make...
4 min read
In this tutorial, we will discuss different methods used for swapping two variables (n1 and n2) without using a third variable in Python programs. Example: P: 112 Q: 211 After swapping P and Q: P: 211 Q: 112 Method 1: By using inbuilt method The inbuilt method can work with any data type...
3 min read
A random refers to the collection of data or information that can be available in any order. The random module in python is used to generate random strings. The random string is consisting of numbers, characters and punctuation series that can contain any pattern. The random...
5 min read
When we get a huge number of datasets, then it will be quite beneficial to speed through the datasheet into an equal chance and then process each data frame on an individual basis. This will be only possible when the operation on the data frame is...
5 min read
LastPass is a popular password management tool that allows users to securely store and manage their passwords. While there is no official Python module for LastPass, there are several third-party libraries and tools that can be used to interact with LastPass from Python. One such library is...
6 min read
We request you to subscribe our newsletter for upcoming updates.
We provides tutorials and interview questions of all technology like java tutorial, android, java frameworks
G-13, 2nd Floor, Sec-3, Noida, UP, 201301, India