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Learn how to perform double click in Selenium, handle errors, and automate reliable cross-browser tests using Actions and TestMu AI.

Alex Anie
February 20, 2026
The standard .click() method in Selenium is often insufficient for advanced web interactions. To perform a double click in Selenium, the ActionChains API is required. Double click in Selenium is commonly used to enable inline editing of text fields, trigger hidden UI controls or context menus, and select text across elements, making it essential for automating modern web applications.
Why Is Double Click Essential for Web Automation Testing?
Double click is crucial in web automation because some elements respond only to two consecutive clicks, requiring precise simulation to test hidden features, modals, or interactive components reliably.
How Can You Perform a Double Click Action in Selenium?
Double clicking in Selenium requires careful element identification, initializing ActionChains, and performing the double_click() method for accurate user simulation.
How to Perform Double-Click Action in Selenium on TestMu AI Cloud?
Performing double-click actions at scale requires connecting Selenium tests to TestMu AI’s cloud, configuring credentials, grid, and capabilities properly.
How to Resolve Double-Click Issues in Selenium?
Double-click failures in Selenium occur due to timing issues, stale elements, driver mismatches, or CI/CD constraints, but practical solutions ensure reliable execution across environments.
Below are the challenges and their respective solutions:
Some web elements are designed to respond only to a double click, which makes automating these interactions more complex than standard clicks.
Common examples include activating inline editing in input fields, opening modal dialogs, accessing hidden menus, or working with components that mimic desktop-like behavior. Failing to simulate a double click correctly can result in tests missing critical functionality.
To perform a double click in Selenium, testers should leverage the ActionChains API. This allows precise simulation of user interactions, ensuring that features triggered by double-clicks behave as expected. Understanding how to perform double click in Selenium is essential for automating these scenarios reliably.
Before working with double-click actions, you should be familiar with locating web elements using Selenium locators and using the Actions class in Selenium to handle complex interactions effectively.
Note: Run your Selenium tests at scale across 3000+ real browsers and OS combinations. Try TestMu AI Now!
By using the Actions class API to perform a double click in Selenium, the workflow involves three main steps: identifying the target element, creating an Actions object, and applying the double_click() method.
While double-clicks are a key interaction, it's also important to understand various Selenium click commands, which cover single clicks, context clicks, and other pointer-based actions you can automate.
Keeping these steps in mind, let's walk through a practical test scenario to understand how to perform a double click in Selenium using the Actions class API.
Test Scenario:
Code Implementation:
The following code demonstrates the implementation of the above test scenario and shows how to perform a double click in Selenium using the Actions class.
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
import time
# ===== Local Chrome WebDriver =====
driver = webdriver.Chrome()
try:
# Go to the main site
driver.get("https://ecommerce-playground.lambdatest.io/")
wait = WebDriverWait(driver, 10)
# Locate the search bar and type "Apple iPhone."
search_bar = wait.until(EC.presence_of_element_located((By.NAME, "search")))
search_text = "Apple iPhone"
search_bar.send_keys(search_text)
time.sleep(1) # Small pause to show typing
# Double-click the text to select it
actions = ActionChains(driver)
actions.double_click(search_bar).perform()
time.sleep(1)
# Select all text in the input field (CTRL + A)
search_bar.send_keys(Keys.CONTROL, 'a')
time.sleep(0.5)
# Copy the selected text (CTRL + C)
search_bar.send_keys(Keys.CONTROL, 'c')
time.sleep(0.5)
# Clear the input and paste copied text
search_bar.clear()
time.sleep(0.5)
search_bar.send_keys(Keys.CONTROL, 'v')
time.sleep(1)
# Press Enter to search
search_bar.send_keys(Keys.ENTER)
# Verify search result (title should contain "Apple iPhone")
wait.until(EC.title_contains("Apple iPhone"))
page_title = driver.title
if "Apple iPhone" in page_title:
print("Search verification successful!")
else:
print("Search verification failed!")
finally:
driver.quit()

Code Walkthrough:
Test Execution:
To run the code, type the command below.
python main.pyThe code should execute successfully on the terminal as follows.

When executed, your automated test will perform a realistic double click in Selenium on the specified element, as shown in the demonstration image below.

Running double click actions in Selenium on your local machine can be tricky. You might face issues like elements not being visible or interactable, timing delays, browser differences, or failures when combining double-clicks with keyboard shortcuts (CTRL + A/C/V). Debugging can also be frustrating because errors aren't always obvious, making it hard to know why your Selenium automation didn't work.
In such cases, relying on cloud platforms can be highly beneficial, and one such platform is TestMu AI (Formerly LambdaTest), which provides access to 3,000+ real devices, real browsers, and custom environments in the cloud, ensuring your double-click actions work consistently.
To see this in action, let's run the same test scenario and explore how to perform a double-click action in Selenium at scale using TestMu AI.
The TestMu AI platform offers end-to-end AI agents to plan, author, execute, and analyze your tests, ensuring your double-click actions in Selenium testing behave reliably.
You can test web, mobile, and enterprise applications at any scale across real-world environments, helping you automate complex interactions like double clicks combined with keyboard shortcuts or chained actions without flakiness.
To learn how to perform a double click in Selenium on a cloud platform, you need to add a few steps to your existing code:
1. Get Your Credentials: Log in or sign up for TestMu AI. From the dashboard, navigate to Profile > Account Settings > Password & Security. Copy your username and access key, and set them as environment variables.
2. Load Credentials in Your Code: After setting the environment variables, you can load them in your script:
# Load .env credentials
from dotenv import load_dotenv
import os
load_dotenv()
username = os.getenv("LT_USERNAME")
access_key = os.getenv("LT_ACCESS_KEY")
This allows your scripts to authenticate with the TestMu AI platform and reliably perform double click in Selenium.
3. Set the TestMu AI Grid URL: After loading your credentials, configure the Selenium Grid URL to connect to TestMu AI:
# Grid URL
grid_url = f"https://{username}:{access_key}@hub.lambdatest.com/wd/hub"
This URL allows your Selenium scripts to communicate with the TestMu AI platform, enabling you to run your double click in Selenium tests on real browsers.
4. Set TestMu AI Capabilities for Selenium: After setting the Grid URL, you need to define the TestMu AI capabilities to configure your Selenium session. This tells the platform which browser, platform, and features to use for your test:
# ===== Capabilities =====
lt_options = {
"username": username,
"accessKey": access_key,
"build": "Search and Double Click Action",
"project": "Search, Double Click and Verify Test",
"name": "Double Click on an Input Field",
"selenium_version": "4.0.0",
"w3c": True,
"visual": True,
"video": True,
}
browser_caps = {
"platformName": "Windows 11",
"browserName": "Chrome",
"browserVersion": "latest",
"seCdp": True,
"LT:Options": lt_options
}
These capabilities let you configure the OS, browser, and version, enable visual logs and video recording, and track your project on the TestMu AI dashboard.
You can also generate the necessary Selenium capabilities easily using the TestMu AI Automation Capabilities Generator to run double click in Selenium reliably across cloud browsers and devices.
5. Connect Your Test Script: Finally, in Selenium 4, you use the Options() object and webdriver.Remote to connect to the cloud:
# Convert capabilities properly for Selenium 4
options = Options()
for key, value in browser_caps.items():
if key != "LT:Options":
options.set_capability(key, value)
options.set_capability("LT:Options", lt_options)
# ===== Remote WebDriver =====
driver = webdriver.Remote(
command_executor=grid_url,
options=options
)
This setup ensures that standard Selenium 4 capabilities are configured correctly, TestMu AI-specific options like username, access key, and build/project names are included, and your double click in Selenium test runs reliably on real browsers and devices in the cloud.
Test Execution:
To run the code, type the command below.
python main_it.pyThe code should execute successfully on the terminal as follows.

Your test case should now work seamlessly on the TestMu AI cloud environment.

There are numerous use cases and techniques for implementing double click actions on a specific element.
Iframes allow external content, like maps, videos, or interactive widgets, to be embedded within a webpage. Interacting with these elements can be tricky, especially when they load dynamically or require precise user actions such as double-clicks.
For example, OpenStreetMap supports zooming through double click interactions, making it a practical demonstration of how Selenium can handle embedded and dynamically loaded content reliably.
GitHub: double_click_map.py

Selenium's move_to_element_with_offset() method allows you to perform mouse interactions at a precise location within an element by specifying X and Y offsets from its top-left corner.
This approach is especially useful when the interaction must occur at specific coordinates rather than at the element's center. In this example, we apply an offset-based double click in Selenium on OpenStreetMap to trigger a zoom action on a targeted map region.
GitHub: double_click_offset.py

Combining multiple user interactions in a single Selenium test helps simulate real-world behavior more accurately while keeping your test suite clean and maintainable.
Instead of splitting actions across multiple scripts, grouping them improves readability and execution efficiency. For example, you can combine double click in Selenium with hover, drag-and-drop, and tab navigation within one cohesive test flow.
GitHub: combining_doudle_click.py

Selenium's native double-click relies on real browser events, which can fail when elements are hidden, animated, overlapped, or not immediately interactable. This can make your tests flaky or cause them to break unexpectedly.
In such situations, using a JavaScript fallback to handle double click in Selenium provides a reliable backup. By directly dispatching a dblclick event at the DOM level, the intended interaction still occurs even when native Actions fail, ensuring your automation remains robust.
GitHub: using_js_fallback_double_click.py

Different browsers handle rendering, timing, and DOM updates in slightly different ways, which can cause Selenium tests to behave inconsistently. Cross-browser quirks often appear as timing issues, stale elements, or failed interactions.
To handle these challenges, you can use Selenium waits, retry logic, and safe element relocation. Applying these techniques ensures your double click in Selenium tests runs more reliably and consistently across Chrome, Firefox, Edge, and Safari.
GitHub: cross_browser_stability_test.py

Even though double click actions in Selenium usually work as expected, you may occasionally encounter issues such as elements not responding, timing mismatches, or unexpected browser behavior.
Understanding common causes and applying practical solutions can help you fix these issues and ensure your double click in Selenium tests run reliably across different browsers and environments.
An element not interactable is among the most common failures encountered when attempting to perform double click in Selenium. These issues usually occur because Selenium tries to interact with an element before the browser is fully ready, or because another component in the UI temporarily blocks the intended target.
Causes:
Solutions:
A StaleElementReferenceException is a common synchronization issue in Selenium, often occurring immediately after performing the first click on an element. Modern websites frequently update parts of the DOM after user interactions, which can make previously referenced elements "stale." Selenium is then pointing to an outdated copy of the element that no longer exists in the current DOM.
Causes:
Solutions:
Selenium's advanced user interactions, such as double clicks, hover actions, drag-and-drop, and click-and-hold, depend on the browser driver implementing the W3C WebDriver Actions API correctly.
If your browser version and driver version are not aligned, the Actions API is often the first feature to fail. This can cause confusing behavior:
Causes:
Solutions:
A double click that works perfectly on your local machine may fail inside a CI/CD pipeline. This is a common source of Selenium test flakiness, especially when running tests in headless mode or inside containerized environments like GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
Causes:
Solutions:
Mastering double click in Selenium requires more than simply calling Actions.doubleClick(). When you work with real-world web applications, you'll encounter dynamic DOM updates, JavaScript event listeners, animations, overlays, and browser-specific behaviors that can cause your double-click tests to fail unexpectedly.
Throughout this guide, you learned how to build stable, cross-browser double-click interactions, from handling element not interactable errors to mitigating stale element references, version mismatches, and CI/CD timing issues.
You also discovered reliable fallback techniques, such as using JavaScript-dispatched events when native Actions fail, and how Selenium waits, retry logic, and enhanced logging can help you diagnose flakiness across Chrome, Firefox, Edge, and headless CI environments.
By combining native Actions, structured error handling, JavaScript fallbacks, and cross-browser resilience strategies, you can create Selenium tests that remain consistent, predictable, and production-ready, even when testing highly dynamic and complex web applications.
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