Automated website testing in plain English.
Describe a user flow and what should happen. Browser Use navigates your web app, checks behavior, and reports results. Run UI tests, regression checks and quality assurance tasks with an AI browser agent.
STEP 1 / 4
Example: the agent identifies the signup controls, submits an empty email and verifies the validation message, types qa@example.com, submits again, and verifies that the account was created.
How automated website testing works
- 1
Describe your test
Give the agent a starting URL, the actions to take and the expected results. For example: submit the sign-up form without an email and verify that a validation message appears. - 2
Let the agent run the flow
Browser Use reads the interface, clicks, types and navigates through the scenario. Watch the live browser as it checks your website. Ask it to flag broken steps even if another path reaches the goal. - 3
Review the results
Ask for passed, failed and inconclusive checks, with observations and screenshots of failures. For API workflows, use an output schema to get a structured JSON report.
What you can test
- UI testing
- Check that menus open, buttons respond, filters update results and forms display the right validation messages.
- Functional testing
- Check that a discount changes the order total correctly and account changes are saved after a page reload.
- Regression testing
- Rerun your critical user flows after a change. Check that existing signup, search, cart and account features still behave as expected.
- Quality assurance
- Turn acceptance criteria into browser checks. Explore a new feature, inspect empty states and report unexpected behavior with steps to reproduce it.
- End-to-end testing
- Follow a journey across several pages: sign in with a test account, add a product to the cart and verify that the checkout total is correct.
- Smoke testing
- Run a focused check after deployment: confirm that key pages load, navigation works and users can reach your main flow.
Automated regression testing for every release
Spending more time maintaining tests than building features?
Questions people ask
What is automated website testing?
Automated website testing uses software to interact with a website and check its behavior against expected results. Browser Use lets you describe the flow in plain English. An AI agent opens a real browser, follows your instructions and reports what it observed.
How does natural language testing compare with Playwright, Puppeteer or Selenium?
Tests written with Playwright, Puppeteer or Selenium are usually cheaper to run, but can take more time to write and maintain. With Browser Use, you describe the test in plain English and an AI agent handles the browser actions.
Can I use Browser Use for regression testing?
Yes. Save a prompt with specific checks and rerun it after a release to look for regressions in existing functionality. Use the same starting state, test data and expected outcomes so you can compare runs. The agent can take different navigation paths, so retain scripted assertions where you need an exact, repeatable sequence.
Do I need to write code to run a test?
No. You can run a natural language test from the Browser Use Cloud dashboard. For an automated workflow, call the API from your own script or CI job. An output schema lets you request JSON with a result and observations for each check.
How much does automated testing cost?
Pay as you go: browser time and traffic, plus model usage with a 20% orchestration fee on model costs. No subscription. See pricing for rates.