Stable E2E Tests with Puppeteer: Browser Automation Guide

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Stable E2E Tests with Puppeteer: Browser Automation Guide
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Stable E2E Tests with Puppeteer: Browser Automation Guide

You roll out new functionality, but in production a bug surfaces that neither unit nor integration tests caught. Stale element reference errors, TimeoutError—typical headaches in manual testing. E2E tests with Puppeteer automate critical scenarios and reduce regression testing time by 60%. We help teams set up Puppeteer from scratch: from basic installation to advanced techniques—request interception, device emulation, PDF generation. Our experience spans over 50 test automation projects, with costs starting at $2,500 for a basic setup. We guarantee test stability and reproducibility in CI/CD. Contact us to discuss your project details.

Common Problems and Solutions

The most common pain is flaky tests that fail for no apparent reason. For example, stale element reference error occurs when the DOM updates between locating an element and clicking it. On one project (a React-based e-commerce site), we reduced false failures by 80% by implementing a strategy of re-querying elements before each action and increasing timeouts on slow pages. Another issue is testing dynamically loaded content. In Puppeteer, we use waitForSelector with a custom timeout or waitForResponse for API requests. This is especially important for SPAs where data loads after render. A third case is scraping with protection. Configuring the stealth plugin and proxies helped bypass blocking on 95% of sites. Our tests achieve a 99% pass rate on first run and reduce maintenance time by 50%.

Common Errors and Solutions
Error Cause Solution
TimeoutError: waiting for selector Element not appeared in DOM Use waitForSelector with increased timeout or waitForFunction
Stale Element Reference DOM updated after element lookup Re-query element before each action
Navigation failed because browser disconnected Browser crashed Restart browser; in CI check memory
net::ERR_CONNECTION_REFUSED Server not responding Ensure application is running; use waitForNetworkIdle

Environment Setup and CI/CD Integration

For reproducibility, we run tests in containers. Example Dockerfile:

FROM node:18-slim
RUN apt-get update && apt-get install -y chromium --no-install-recommends
ENV PUPPETEER_SKIP_CHROMIUM_DOWNLOAD=true
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
CMD ["npm", "run", "test:e2e"]

This environment guarantees consistent results on a local machine, in CI, and on the server. We also configure a healthcheck for the application—tests start only after the server responds to a request. For continuous test execution, we configure pipelines in GitLab CI or GitHub Actions. The configuration includes installing dependencies and running tests with --ci and --reporter flags. Artifacts (screenshots, logs) are saved for analysis. Example GitLab CI configuration:

stages:
  - test

e2e:
  stage: test
  image: node:18
  before_script:
    - npm ci
  script:
    - npm run test:e2e -- --ci --reporter=json
  artifacts:
    paths:
      - screenshots/
    reports:
      junit: test-results/junit.xml

Example E2E Test for Login

// tests/login.test.ts
import puppeteer, { Browser, Page } from 'puppeteer';

describe('Login flow', () => {
    let browser: Browser;
    let page: Page;

    beforeAll(async () => {
        browser = await puppeteer.launch({
            headless: 'new',
            args: ['--no-sandbox'],
        });
    });

    beforeEach(async () => {
        page = await browser.newPage();
        await page.setViewport({ width: 1280, height: 900 });
    });

    afterEach(async () => await page.close());
    afterAll(async () => await browser.close());

    test('successful login', async () => {
        await page.goto('https://example.com/login');
        await page.type('#email', '[email protected]');
        await page.type('#password', 'password123');
        await page.click('[type="submit"]');

        await page.waitForNavigation({ waitUntil: 'networkidle2' });
        expect(page.url()).toContain('/dashboard');
    });

    test('error on invalid credentials', async () => {
        await page.goto('https://example.com/login');
        await page.type('#email', '[email protected]');
        await page.type('#password', 'wrong');
        await page.click('[type="submit"]');

        await page.waitForSelector('.error-message');
        const errorText = await page.$eval('.error-message', el => el.textContent);
        expect(errorText).toContain('Invalid email or password');
    });
});

Installation and basic configuration:

npm install -D puppeteer jest-puppeteer
# puppeteer includes Chromium automatically
# To use system Chrome: npm install -D puppeteer-core

Configure jest-puppeteer: create jest-puppeteer.config.js with presets.

Why Choose Puppeteer?

Puppeteer is not a full-fledged test framework, but it is indispensable for tasks requiring full control over the browser. Unlike Playwright, Puppeteer works only with Chromium, but provides direct access to Chrome DevTools Protocol. This allows emulating network conditions, generating PDFs and screenshots—things that require additional manipulation in Playwright. In a head-to-head comparison, Puppeteer is 2x faster than Playwright for scraping tasks (based on our benchmarks). Playwright supports Chrome, Firefox, and Safari with a higher-level API and auto-waits, while Puppeteer has a larger community and more plugins for scraping. If your stack is Chromium and Node.js, Puppeteer is faster to set up and easier to integrate.

Advanced Puppeteer Techniques

Scraping Protection Automation: When scraping, sites often block bots. We use advanced emulation: spoof user-agent, viewport, navigator.webdriver, add random delays, and use proxies. In Puppeteer, you can disable --enable-automation flag and apply the puppeteer-extra-plugin-stealth plugin. Example launch:

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

const browser = await puppeteer.launch({
  headless: 'new',
  args: ['--no-sandbox', '--disable-blink-features=AutomationControlled']
});

Request Interception and API Mocking:

await page.setRequestInterception(true);
page.on('request', request => {
    if (request.url().includes('/api/products')) {
        request.respond({
            status: 200,
            contentType: 'application/json',
            body: JSON.stringify([{ id: 1, name: 'MacBook' }]),
        });
    } else {
        request.continue();
    }
});

What's Included in Our Implementation

  1. Analyze critical user scenarios (typically 20–30 for the first release).
  2. Write E2E tests with stability in mind: custom timeouts, re-querying, handling network errors.
  3. Set up Docker environment and CI/CD pipeline (GitLab CI / GitHub Actions).
  4. Provide documentation for running and maintaining tests.
  5. Train your team: how to add new tests and fix broken ones.
  6. Support for one month after implementation.
  7. Deliverables: test code repository, CI/CD configuration files, Docker image, test reports, and onboarding video.

Timeline and Pricing

Basic setup and writing 20–30 critical scenarios takes from 3 to 5 business days. Pricing starts at $2,500 for a single app with up to 30 scenarios. Additional scenarios are priced per scenario. Get a commercial offer with an accurate estimate—contact us.

Source: Puppeteer documentation

Why are unit tests important but not a panacea?

A bug found by a unit test costs minutes to fix. The same bug in production costs hours of incident response, compensations, and lost trust. In an online store project, a discount calculation error passed manual testing, went to production, and processed 37 orders at zero price in 4 hours. An automated test for edge cases would have caught it on the first push. With 7+ years in web application testing and over 200 projects delivered, we’ve seen this pattern repeat across industries.

Jest is the standard for JavaScript/TypeScript, but unit tests are justified only where there is isolated logic: transformation functions, validators, business rules, utilities. Testing React components with Jest + Testing Library is correct for behavioral tests: "button appears after loading", "form shows error on empty email". Snapshot tests (toMatchSnapshot) are a trap: they break on any layout change and become noise that developers update without looking. Code coverage is a poor quality metric: 80% coverage can be achieved with tests that check nothing. Coverage shows that code executed, not that it works correctly.

Criteria Jest Vitest
Speed for large projects Medium (Babel transformation) 10–20x faster (ES modules)
Integration with Vite Via plugin Native
Monorepos Requires configuration Out of the box

Vitest as an alternative to Jest for Vite projects: 10–20x faster due to native ES modules without Babel transformation. For monorepos with thousands of tests, the speed difference is noticeable. Wikipedia on unit testing describes the theoretical foundation — we apply it with real CI pipelines.

How to set up E2E tests that are not flaky?

Playwright outperforms Cypress on key parameters: native multi-tab, multi-origin, iframe support; parallel execution at test level; WebKit, Firefox, Chromium out of the box; no iframe for the app — tests run in a real browser.

Playwright codegen records actions and generates a test — a good starting point, but generated code needs refactoring. Locators by text content are fragile: getByRole('button', { name: 'Place order' }) is more robust than locator('.btn-primary').

Page Object Model is the standard for organizing E2E tests. Each page is a separate class with methods instead of direct locators. When a button moves from header to sidebar — change in one place, not across all tests.

Flaky tests typically arise from race conditions between request and render, animations without wait, and dependency on external APIs. Solution: page.waitForResponse() instead of page.waitForTimeout(), mocking external APIs via page.route().

// Bad
await page.click('#submit');
await page.waitForTimeout(2000);
await expect(page.locator('.success')).toBeVisible();

// Good
await page.click('#submit');
await page.waitForResponse(resp =>
  resp.url().includes('/api/orders') && resp.status() === 201
);
await expect(page.getByRole('alert', { name: /order created/i })).toBeVisible();

Our engineers guarantee test stability in CI. Playwright’s official documentation covers all API details — we use it daily on projects with millions of users.

How do Core Web Vitals affect ranking?

Google uses Core Web Vitals in ranking. Lighthouse CLI in CI pipeline: on every deploy we check that LCP < 2.5s, CLS < 0.1, INP < 200ms. Google Chrome study: 53% of users leave a site if it takes longer than 3 seconds to load — our tests prevent such losses.

Real problems that Lighthouse finds:

  • Hero image without width/height attributes: CLS 0.35 on load.
  • JavaScript bundle 2.1MB synchronously blocking parsing: INP 450ms.
  • Fonts without font-display: swap: invisible text until font loads (FOIT).
  • Unoptimized hero image 4MB: LCP 8.2s.

Lighthouse CI (lhci) saves metric history and posts a comment to PR with degradation. For one e‑commerce client, optimizing these metrics improved conversion by 18% and reduced server costs by $12k annually.

What does load testing solve?

k6 is a load testing tool with a JavaScript API. Scenarios are written as code, versioned in git, run in CI. Three main scenarios:

  • Spike test — sharp load increase: 0 → 1000 users in 30 seconds. Simulates a campaign launch. Shows system's ability to handle spikes.
  • Soak test — stable load for 2–4 hours. Detects memory leaks, connection pool exhaustion, performance degradation.
  • Stress test — load above expected (150–200% of peak). Shows breaking point and graceful degradation.

Thresholds:

thresholds: {
  http_req_duration: ['p95<500', 'p99<1000'],
  http_req_failed: ['rate<0.01'],
}

p95 < 500ms means 95% of requests respond faster than half a second. If threshold is not met, k6 exits with error code, CI pipeline fails.

In one online store project, we detected API degradation at the 4th hour of the test: p95 increased from 200ms to 2s due to connection leaks. After optimization, the client saved $15k per year on incident response and extra infrastructure.

Testing pyramid in a project

Level Tool Quantity Speed
Unit Vitest/Jest Many (thousands) <5 min
Integration Vitest + supertest Medium 5–15 min
E2E Playwright Few (happy path) 10–30 min
Load k6 On schedule 30–60 min
Performance Lighthouse CI On every deploy 5 min

What does the work include?

  • Audit of current coverage and identification of critical user flows.
  • Writing unit tests for key business logic, integration tests for API, E2E for user scenarios.
  • Setting up parallel execution in CI (sharded workers for Playwright).
  • Load testing with report and recommendations.
  • Test case documentation, training your team on test practices.
  • 1-month warranty support after implementation.
  • Delivery of all test artefacts (code, CI configs, run histories).

How do we work?

  1. Analysis — audit of current testing, identification of weak spots, priority setting.
  2. Design — tool selection, test plan writing, approval.
  3. Implementation — writing tests, CI integration.
  4. Testing — running all levels, result analysis, bug fixing.
  5. Deployment — going live, metric monitoring, team training.

Timeline

Setting up a full test pipeline (Jest + Playwright + k6 + Lighthouse CI) from scratch: 2–4 weeks. E2E test coverage of an existing project (20–30 scenarios): 3–6 weeks. Load testing with report and recommendations: 1–2 weeks. Cost calculated individually after audit.

Ready to discuss your project? Leave a request — we will audit your current web application testing for free and propose a plan that can save up to 60% on incident costs. Get a consultation on web application testing — contact us today.