Web Testing Overview
Complete guide to creating, managing, and executing web application tests in ContextQA — from recording your first test to running full regression suites.
Who is this for? Testers and SDETs who want to automate web application testing using natural language — no Selenium or Playwright expertise required.
ContextQA's web testing capabilities let you build automated tests for any web application in natural language — no code required. The AI agent navigates real browsers, interacts with your UI, and verifies results exactly as a human QA engineer would.
How Web Testing Works
Describe the test — Write what you want to test in plain English, including the steps to perform and what to verify.
ContextQA creates the steps — The AI parses your description into structured, executable steps.
Execution runs in a real browser — The AI agent navigates Chrome, Firefox, Safari, or Edge with actual browser rendering and JavaScript execution.
Evidence is collected automatically — Screenshots, video, network HAR, and console logs are captured for every run.
AI self-healing keeps tests green — If a UI element changes, the agent automatically finds the equivalent new element and continues.
Supported Browsers
Chrome
Latest + 2 previous
Default; best performance
Firefox
Latest + 2 previous
Safari
Latest
macOS/iOS only
Edge
Latest
Chromium-based
Browser selection is configured in the Test Plan or per individual execution run.
What You Can Test
Single-page applications (React, Angular, Vue, Svelte) — full JavaScript execution and dynamic routing
Traditional server-rendered sites — page loads, form submissions, redirects
Authentication flows — login, logout, SSO/SAML redirect handling, MFA (with Knowledge Base entries)
Multi-step workflows — checkout flows, onboarding wizards, multi-page forms
Data entry and validation — form field inputs, error messages, required field enforcement
Navigation and routing — breadcrumbs, back button behavior, deep link handling
API-backed UI — the network monitor captures all XHR/fetch requests, so API failures surface in test results
PDF and file download — verify that downloads trigger and files have expected content
File uploads — test file input fields with actual files
Responsive layouts — set the viewport size per run to test desktop, tablet, and mobile breakpoints
In This Section
How to write effective test descriptions; AI-powered test generation from tickets and requirements
Manual step editing; conditional logic, loops, API calls, and step groups
Grouping test cases; building regression and smoke suites
Data-driven testing with parameterized profiles; local and global variables
How self-healing works; reviewing and approving healing suggestions
Quick Start: Your First Web Test
If you want to jump straight in:
Go to Test Cases in the left navigation.
Click + New Test Case.
Choose Start with AI Assistance.
Enter your application URL and a plain-English description:
Click Generate Test Case.
Watch the AI run, capture screenshots, and build the structured steps.
Click Run to execute the saved test case.
The test is now saved and can be added to a suite and scheduled.
Tips for Effective Web Tests
Be specific about what to verify — "verify the order confirmation number appears" is better than "verify the page loads".
Use your Knowledge Base — if your app has cookie banners, chat widgets, or feature tours, add Knowledge Base entries to dismiss them automatically before they interfere with tests.
Keep tests atomic — one test case per user scenario. This makes failures easier to diagnose.
Use step groups for shared setup — if 20 test cases all start with "log in as admin", create a Login step group and reuse it.
Set realistic environments — always use an Environment record instead of hardcoding URLs in steps, so the same tests can run against staging and production.
Related Pages
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