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– Open Source and Portable – Selenium is an open source and portable Web testing Framework.
– Combination of tool and DSL – Selenium is combination of tools and DSL (Domain Specific Language) in order to carry out various types of tests.
– Easier to understand and implement – Selenium commands are categorized in terms of different classes which make it easier to understand and implement.
– Less burden and stress for testers – As mentioned above, the amount of time required to do testing repeated test scenarios on each and every new build is reduced to zero, almost. Hence, the burden of tester gets reduced
Curriculum Designed by Experts
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Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.Â
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Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.
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Selenium is an open-source tool for automating web browsers. When used with Python, it allows you to interact with web elements programmatically for tasks like web scraping, form submissions, and automating repetitive web-based tasks. You can install the Selenium WebDriver and control browser actions using Python scripts.
Python is a simple and versatile programming language, making it easy to learn and use for automation with Selenium. The main advantages include:
To install Selenium in Python, you can use the following pip command in your terminal:
bash
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pip install selenium
This will install the Selenium WebDriver for Python. After installation, you can start writing Python scripts to interact with browsers.
Dynamic elements can be tricky, as they often change or load asynchronously. You can handle dynamic elements in Selenium by using:
python
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from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
wait = WebDriverWait(driver, 10)
element = wait.until(EC.presence_of_element_located((By.ID, “dynamic-element”)))
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Explicit Wait: A condition is set for a specific element to be found within a defined time frame. It’s more efficient for specific waits.
Example: WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, "element-id")))
Implicit Wait: It sets a global time for the driver to wait for an element to appear before throwing an exception. It applies to all elements on the page.
Example: driver.implicitly_wait(10)
Yes, Selenium can be used for mobile testing by integrating with Appium, which is an open-source tool for automating mobile applications. Appium uses the Selenium WebDriver protocol, allowing you to use the same Python code to automate both web and mobile applications.
Cross-browser testing ensures that your web application works across different browsers. Selenium allows you to run tests on various browsers like Chrome, Firefox, Safari, and Edge using WebDriver. You can specify which browser to use by configuring the WebDriver.
python
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from selenium import webdriver
# To use Chrome
driver = webdriver.Chrome(executable_path=’/path/to/chromedriver’)
# To use Firefox
driver = webdriver.Firefox(executable_path=’/path/to/geckodriver’)
Common locator strategies used in Selenium include:
driver.find_element_by_id('element-id')
driver.find_element_by_name('element-name')
driver.find_element_by_xpath('//tag[@attribute="value"]')
driver.find_element_by_css_selector('.class-name')
driver.find_element_by_class_name('class-name')
driver.find_element_by_link_text('text')
These locators help you find elements on a webpage efficiently.
To handle browser pop-ups and alerts in Selenium, you can use the Alert interface. This allows you to accept, dismiss, or interact with alerts
python
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from selenium.webdriver.common.alert import Alert
# Switch to alert and accept it
alert = Alert(driver)
alert.accept()
# Switch to alert and dismiss it
alert.dismiss()
ActionChains is a class in Selenium that allows you to simulate complex user actions like hover, drag-and-drop, right-click, and keypresses. It is usefulÂ
python
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from selenium.webdriver.common.action_chains import ActionChains
action = ActionChains(driver)
action.move_to_element(driver.find_element_by_id(‘hover-element’)).perform()
when dealing with elements that require more than a simple click
Selenium provides a built-in method get_screenshot_as_file() to capture screenshots of the web page.python
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driver.get(“http://example.com”)
driver.save_screenshot(“screenshot.png”)
Drag-and-drop can be achieved using the ActionChains class. It simulates the drag-and-drop action between two elements.
python
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from selenium.webdriver.common.action_chains import ActionChains
source = driver.find_element_by_id(“source-element”)
target = driver.find_element_by_id(“target-element”)
actions = ActionChains(driver)
actions.drag_and_drop(source, target).perform()
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Selenium allows file uploads through the send_keys() method, which simulates typing a file path into an input field.Â
python
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upload_element = driver.find_element_by_id(‘upload-button’)
upload_element.send_keys(“/path/to/your/file.png”)This will upload the file specified in the path.
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Selenium provides the execute_script() method to run JavaScript on the current page.
python
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driver.execute_script(“alert(‘Hello from Selenium!’)”)
This will trigger a JavaScript alert with the specified message.
In Selenium, you can switch between frames and iframes using the switch_to.frame() method. You can either use the index, name, or WebElement to reference a frame
python
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# Switch to frame by index
driver.switch_to.frame(0)
# Switch to frame by name or ID
driver.switch_to.frame(“frame-name”)
To switch back to the main content, use driver.switch_to.default_content().
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Selenium is one of the most popular tools for web automation, and when combined with Python, it becomes a powerful resource for testers, developers, and data analysts. Python’s simplicity and extensive libraries make it a preferred choice for implementing Selenium automation. This guide delves into Selenium with Python, outlining its applications, setup, and essential functionalities.
Selenium is an open-source automation framework used for testing web applications across different browsers and platforms. It allows developers to automate web browser actions such as form submissions, button clicks, and navigation. Selenium supports various programming languages, including Python, Java, C#, and Ruby, making it versatile for a wide range of users.
python --version
in the command prompt.bash
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pip install selenium
test_script.py
, and include the following code to open a webpage1. Browser Automation
Selenium allows automation of repetitive tasks like filling forms, extracting data, or navigating websites.
2. Cross-Browser Compatibility
Selenium supports major browsers such as Chrome, Firefox, Edge, and Safari, enabling developers to test applications on different platforms.
3. Handling Dynamic Elements
Selenium provides robust mechanisms to locate and interact with dynamic elements using various locators, such as:
ID: driver.find_element_by_id('element_id')
Name: driver.find_element_by_name('element_name')
XPath: driver.find_element_by_xpath('//tag[@attribute="value"]')
4. Assertions for Testing
Python’s unittest
module can be integrated with Selenium to perform test assertions, ensuring web application functionality.
Use Explicit Waits: Replace hard-coded delays with WebDriverWait to handle dynamic page loading efficiently.
python
CopyEdit
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
element = WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.ID, ‘element_id’))
)
python
CopyEdit
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
element = WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.ID, ‘element_id’))
)
python
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from selenium.webdriver.chrome.options import Options
chrome_options = Options()
chrome_options.add_argument(“–headless”)
driver = webdriver.Chrome(options=chrome_options)
Limited to Web Applications: Selenium cannot automate desktop or mobile apps directly.
Performance Constraints: Automating complex workflows can be slow compared to other testing tools.
Requires WebDriver Maintenance: WebDrivers need to be updated regularly to stay compatible with browser updates
Selenium with Python is widely used in various industries for automating web tasks and testing web applications. Its versatility and ease of use make it a go-to choice for developers and testers. Below is a detailed overview of the key applications:
1. Web Application Testing
One of the most popular applications of Selenium with Python is automating web application testing. It helps ensure the functionality and performance of web apps across different browsers and platforms. Selenium supports various types of testing, including:
Functional Testing: Ensures that each feature of the web application works as expected.
Regression Testing: Automates repetitive tests to verify that new changes do not break existing functionality.
Cross-Browser Testing: Ensures that the web application performs consistently across different browsers like Chrome, Firefox, Edge, and Safari.
Python’s unittest
module can be used with Selenium to build scalable and maintainable test cases.
2. Automated Form Filling
Selenium with Python can automate form-filling processes, such as:
Filling out user registration forms.
Logging into websites.
Submitting feedback or contact forms.
This application is useful for businesses looking to simulate and test user interactions or streamline form-based workflows for data entry tasks.
3. Web Scraping
Selenium with Python is often used for web scraping, especially for websites with dynamic or JavaScript-rendered content that traditional scraping libraries like BeautifulSoup cannot handle. Key applications include:
Collecting data from e-commerce websites (e.g., product prices, reviews).
Gathering information from news websites or blogs.
Scraping job listings or real estate data.
Python’s data manipulation libraries like Pandas and NumPy can complement Selenium for organizing and analyzing scraped data.
4. Automated Navigation
Selenium enables automated browsing and navigation across different web pages, which is useful for:
Navigating through multi-step web forms.
Simulating real-world user journeys for analytics and testing.
Automating routine tasks like checking website statuses or downloading reports.
By automating navigation, users can save time and improve efficiency in repetitive web workflows.
5. Continuous Integration and Deployment (CI/CD)
In software development, Selenium scripts are commonly integrated into CI/CD pipelines to ensure web applications are thoroughly tested before deployment. By using tools like Jenkins, Bamboo, or GitLab, Selenium test scripts can be automatically triggered as part of the deployment process. This practice helps catch bugs early and ensures faster, more reliable releases.
6. Cross-Browser Compatibility Testing
Ensuring consistent user experiences across different browsers is crucial for web applications. Selenium with Python enables automated testing on:
Different browsers (Chrome, Firefox, Edge, etc.).
Different browser versions.
Mobile emulators for testing mobile responsiveness.
This testing ensures the application behaves correctly regardless of the browser or platform.
7. Data Collection for Business Insights
Selenium with Python is often used to collect real-time data from various sources for business analytics. This data can be used to:
Monitor competitor prices in e-commerce.
Track changes in stock market prices or financial news.
Collect feedback from social media or review sites.
The collected data can be analyzed using Python’s data analysis libraries for actionable insights.
8. Automating Login and Authentication
For web applications that require frequent logins (e.g., CRM systems or SaaS platforms), Selenium can automate login processes, including multi-step authentication or CAPTCHA handling with external tools. This saves time for teams needing to access dashboards or reports frequently.
9. Load Testing and Performance Monitoring
Although Selenium is not primarily designed for load testing, it can simulate multiple users interacting with a web application to monitor performance under different loads. This helps identify potential bottlenecks and optimize the website for better performance.
10. End-to-End (E2E) Workflow Automation
Selenium with Python can automate entire workflows across different websites. For example:
Automating the order placement and checkout process for an e-commerce site.
Automating ticket booking workflows.
Running simulations for loan application approvals or banking transactions.
E2E testing ensures that complex workflows work seamlessly from start to finish.
11. Automated Screenshot Capture
Selenium can capture screenshots of web pages at different stages of automation. This feature is useful for:
Generating visual documentation for tests.
Capturing evidence of errors for debugging.
Monitoring website layout changes.
Using Python’s automation scripts, the screenshots can be saved or sent via email for review.
12. Automated PDF Download and File Handling
Selenium scripts can automate downloading files like PDFs or Excel sheets from websites. Combined with Python, the downloaded files can be processed and stored for reporting or analytics purposes. This application is especially helpful in finance, healthcare, or education, where file handling is common.
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