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Use Selenium WebDriver to operate a real browser and Hypothesis to generate inputs—or sequences of user actions—that exercise your application. Start with a normal Selenium test, add @given when a behavior should hold across many inputs, and use a state machine when the important bugs depend on action order. This is a practical combination of the two tools, not an integration officially documented by Selenium or Hypothesis.
What Selenium and Hypothesis each do
Selenium’s Python bindings let a test interact with a browser: navigate, locate elements, enter values, click controls, and inspect what the page displays. Hypothesis supplies generated values to ordinary Python tests through strategies and @given. Its stateful testing API can also choose a sequence of rules, such as adding and removing items, and check invariants as those actions occur.
Together, they let you test browser-visible properties beyond a few manually selected examples. Selenium does not generate the test data, and Hypothesis does not drive the browser; your test connects them by using generated values or actions in Selenium operations and asserting the expected result.
Set up the Python environment
The Selenium Python API documentation currently lists Python 3.10 or newer and support for Chrome, Edge, Firefox, Safari, WebKitGTK, WPEWebKit, and remote protocol use. Check the current Selenium Python API documentation against your chosen browser and environment, since compatibility details can change.
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Create and activate a virtual environment using your project’s usual method.
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Install Selenium and Hypothesis:
python -m pip install -U selenium hypothesisSelenium’s current Python documentation gives
pip install -U selenium; Hypothesis’s quickstart givespip install hypothesis. -
Install or configure a browser supported by your environment. Modern Selenium uses Selenium Manager for browser and driver installation on most supported platforms; you can also specify browser and driver details manually when your setup requires it.
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Run tests through pytest or unittest. Hypothesis-generated tests are ordinary Python functions and work with either framework.
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The browser fixture, application URL, selectors, and cleanup process depend on your project. The examples below show test structure, not a complete fixture or a test verified against a live application.
Start with one conventional Selenium test
Before adding generated data, establish one important behavior with a known input. This confirms that the application, browser setup, selectors, and expected result make sense before Hypothesis multiplies the cases.
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from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
def test_search_shows_results(driver):
driver.get("https://example.test/search")
field = driver.find_element(By.NAME, "q")
field.clear()
field.send_keys("selenium")
field.submit()
WebDriverWait(driver, 10).until(
EC.visibility_of_element_located((By.ID, "search-results"))
)
assert driver.find_element(By.ID, "search-results").is_displayed()This assumes a test fixture named driver, a page at the example URL, a search field named q, and a results element with ID search-results. Replace those with elements and behavior that actually exist in a controlled application.
Use @given for properties over generated inputs
Choose an ordinary Hypothesis test when each example can begin from fresh application state and the property should hold for a useful range of independent values. For instance, if a search field should accept non-empty text and display a results region after submission, generate text and assert that visible invariant.
from hypothesis import given, strategies as st
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
@given(st.text(min_size=1, max_size=40))
def test_search_input_is_accepted(driver, search_term):
driver.get("https://example.test/search")
field = driver.find_element(By.NAME, "q")
field.clear()
field.send_keys(search_term)
field.submit()
WebDriverWait(driver, 10).until(
EC.visibility_of_element_located((By.ID, "search-results"))
)
assert driver.find_element(By.ID, "search-results").is_displayed()This is an editorial example of how to connect the libraries, not a ready-to-run test or officially documented integration. It needs an application whose form accepts the generated values and whose selectors and expected behavior match the code. A property should be meaningful: asserting only that a form can be submitted may miss whether the app handles the value correctly.
Constrain strategies to valid, useful cases
The example uses st.text(min_size=1, max_size=40) to keep values within a plausible field range. Choose constraints from your application’s actual validation rules. If the app only accepts particular characters, formats, or lengths, encode those constraints in the strategy rather than letting most generated examples test rejection paths unintentionally.
Hypothesis’s quickstart documents 100 generated inputs by default and a max_examples setting for changing that count. More examples mean more browser work, so tune the count to the value of the property and the available test time rather than assuming that a larger count is always better.
Keep generated examples isolated
Each generated example should start from state that will not be contaminated by an earlier example. Navigate to a clean test route, reset server-side records, create unique test data, or use a project fixture that reliably establishes and tears down the needed state. Selenium and Hypothesis do not guarantee this isolation for you. Without it, one example’s data can change what a later example sees, making failures hard to understand.
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Use a state machine when action order matters
Use RuleBasedStateMachine when earlier actions affect which later actions are valid or what outcomes should follow. A cart, multi-step form, or editable list may need sequences such as add, remove, and submit—not just a collection of unrelated input values. Hypothesis stateful tests chain rules and can run invariants after steps; simpler cases may be clearer as ordinary @given tests.
A useful stateful browser test keeps a small expected model in Python alongside the browser. For example, after an “add item” action, update the model and check the visible cart count; after “remove item,” update the model again and check that the page agrees. Rules should represent meaningful user operations, while invariants express behavior that should remain true after each step.
Choose between generated inputs and generated action sequences
| Question | Ordinary @given |
State machine |
|---|---|---|
| What varies? | Independent generated input values. | Prior actions, the order of operations, and values used by rules. |
| What is the best fit? | A property that should hold for many separate inputs. | A behavior whose outcome depends on the sequence of operations. |
| What must the test explain? | The expected result for each generated input. | A simple model of state and invariants that can be checked as rules run. |
| What should you weigh? | Whether each example is independent and the browser work per example is affordable. | Whether the model and minimized action sequence remain understandable, and the browser work per sequence is affordable. |
The distinction between independent generated tests and chained rules follows Hypothesis’s documentation. Runtime and model clarity are practical design considerations; there is no quantified performance comparison here.
Wait for page conditions instead of sleeping
Browser commands and page scripts do not necessarily finish at the same time. A page’s HTML assets loading does not guarantee that JavaScript-driven changes are ready. Selenium identifies these timing races as a common source of flaky tests and recommends condition-based explicit waits.
Wait for the state the next test action requires: for example, visibility before reading an element or clickability before clicking it. The example’s WebDriverWait polls for a particular condition and stops when it becomes true or the timeout is reached. A fixed time.sleep() can waste time when the page is fast and still be too short when it is slow.
Do not casually mix implicit and explicit waits. Selenium warns that combining them can produce unpredictable total wait durations. Prefer explicit waits around the specific asynchronous state your test depends on.
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Understand shrinking and replaying a failure
When Hypothesis finds a failing case, shrinking attempts to reduce it to a simpler example. For a stateful failure, the report can show a short, program-like sequence of actions. Preserve that output when filing a defect: a smaller reproducer is often easier to inspect than a long random run.
Hypothesis supports seed-based replay, including pytest’s --hypothesis-seed. A seed does not guarantee identical browser behavior if timing, external services, or other state is nondeterministic. Hypothesis’s settings documentation distinguishes seed replay from deterministic CI behavior; in browser tests, treat replay as a useful aid, not a promise of perfectly identical execution.
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Troubleshoot common failures
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Browser or driver does not start: Check that the browser is installed and supported in the current environment, then consult the current Selenium Python API documentation for setup guidance. Selenium Manager handles installation on most supported platforms, but manual browser and driver configuration remains possible.
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An element cannot be found immediately after navigation: The page may not yet have reached the state that creates the element. Wait for the specific condition, such as element visibility, instead of adding a fixed sleep.
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A wait times out: Verify that the URL, locator, and expected condition match the actual application, and determine whether the page reached the intended state. An explicit wait timing out means its condition was not met within the configured time.
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Waits take unexpectedly long: Look for implicit and explicit waits being used together; Selenium warns that their combined timing is unpredictable.
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Generated examples fail validation: Narrow the strategy to inputs the property is meant to cover, or write a separate test for invalid-input behavior. Unconstrained data can spend most of the run exercising a different property.
-
Results change between examples: Reset browser and application state or isolate records so each generated example begins from a known baseline.
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A failure does not recur with the same seed: Check for timing, external state, or other nondeterministic influences. Save the minimized failure report and the environment details rather than relying on seed replay alone.
Or skip the browser setup
For screenshot capture rather than interactive browser testing, ScreenshotNeo provides a one-request screenshot API. It is not a substitute for Selenium interactions or Hypothesis-generated assertions, but can remove the need to install and operate a browser just to capture a page image.
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpSee the ScreenshotNeo API documentation for request options. Cookie and consent banners, newsletter popups, and chat widgets are removed before capture; bot checks, blank pages, failed loads, timeouts, and cache hits are not billed. An MCP server provides screenshot tools for AI agents. The free plan includes 1,000 screenshots per month without a card; paid plans start at $5 for 3,000 shots.
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Quick Recap
Sources
- Selenium Client Driver — Python API documentation
- Selenium WebDriver waiting strategies
- Hypothesis quickstart
- Hypothesis stateful tests
- Hypothesis settings and stateful test controls
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