Automation testing is a cornerstone of modern software development, helping teams deliver reliable applications at scale. Selenium, an open-source framework, stands out as one of the most widely adopted tools for browser automation. A Selenium script is essentially a set of instructions written in a supported programming language to simulate user actions in a web browser.
Learning how to write effective Selenium scripts not only ensures functional correctness but also helps build scalable automation frameworks.
This guide explores the essentials of Selenium scripting, including script anatomy, handling advanced scenarios, and running tests on real browsers and devices.
A Selenium script is code written to automate interactions with a browser. It can perform tasks such as:
The importance of Selenium scripts lies in their ability to:
Before writing a Selenium script, certain prerequisites must be met:
Python:
pip install selenium
Here’s a minimal Selenium Python script to open Google, search for “Selenium,” and validate results:
from selenium import webdriver
from selenium.webdriver.common.by import By
# Initialize browser
driver = webdriver.Chrome()
# Open Google
driver.get("https://www.google.com")
# Search for Selenium
search_box = driver.find_element(By.NAME, "q")
search_box.send_keys("Selenium")
search_box.submit()
# Validate result
assert "Selenium" in driver.title
# Close browser
driver.quit()
This simple script demonstrates the lifecycle: setup → interaction → validation → teardown.
Every Selenium script follows a common structure. Breaking it into components makes it easier to design and maintain tests.
Scripts begin with initiating a browser session:
driver = webdriver.Chrome()
driver.get("https://example.com")
This launches Chrome and navigates to the target URL.
Locating and interacting with elements is the core of Selenium scripting. Common locator strategies include:
Example:
login_button = driver.find_element(By.ID, "login")
login_button.click()
Web pages may load elements asynchronously. To prevent failures, waits are essential:
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
WebDriverWait(driver, 10).until(
EC.presence_of_element_located((By.ID, "dashboard"))
)
Explicit waits ensure Selenium interacts only when elements are ready.
Assertions confirm that the script achieves its expected outcome:
assert "Dashboard" in driver.title
This ensures test reliability by validating results against expectations.
Real-world applications often present advanced challenges. Selenium provides mechanisms to handle them effectively.
Alerts:
alert = driver.switch_to.alert
alert.accept()
New Windows/Tabs:driver.switch_to.window(driver.window_handles[1])
Modern applications load content dynamically. Selenium waits help handle AJAX-driven pages:
WebDriverWait(driver, 15).until(
EC.text_to_be_present_in_element((By.ID, "status"), "Completed")
)
Instead of hardcoding test data, external sources (Excel, JSON, CSV, or databases) can feed scripts dynamically. This approach improves reusability and coverage.
Example (reading from a CSV in Python):
import csv
with open('testdata.csv') as file:
reader = csv.reader(file)
for row in reader:
username, password = row
# Use values in Selenium script
For scalable automation suites, adopt the following practices:
Local testing environments often fail to capture real-world diversity of browsers, operating systems, and devices. Running Selenium scripts on real environments offers benefits such as:
BrowserStack Automate provides access to 3,500+ real browsers and devices. By integrating Selenium tests with Automate, teams can:
This ensures faster feedback cycles, improved reliability, and broader test coverage without building an in-house device lab.
Selenium scripts enable testers to automate everything from simple UI validations to complex multi-step workflows. By understanding script anatomy, handling dynamic scenarios, applying best practices, and running tests on real devices through platforms like BrowserStack Automate, teams can achieve robust, scalable, and reliable web automation.
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