API Integration Tests Development with Supertest

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.

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1358
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1250
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    956
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1188
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    929
  • image_bitrix-bitrix-24-1c_fixper_448_0.webp
    Website development for FIXPER company
    947

API Integration Tests with Supertest

We develop API integration tests for Node.js applications using Supertest, giving your team reliable automated coverage of all REST endpoints. Our engineers write test suites for Express, Fastify, and NestJS backends, covering authentication flows, error handling, pagination, file uploads, and webhook processing. We have written API test suites for 30+ Node.js services. Our clients ship with confidence knowing every endpoint has automated coverage, and regressions are caught before they reach production users.

Supertest lets you test HTTP endpoints directly through your application instance without starting a real server. Tests run fast, integrate with Jest or Mocha, and catch regressions before they reach production. A well-written API test suite pays for itself after the first prevented outage.

What's Included in Our API Tests Development Service

We deliver complete API test coverage as a turnkey service. The scope includes:

  • Test environment configuration: database setup, seed data, teardown strategy
  • Authentication helper utilities for token-based and session-based flows
  • Endpoint tests covering happy paths and all documented error states
  • File upload and multipart form testing
  • Pagination and filtering parameter tests
  • Integration with CI pipeline so tests block deployments on failure
  • Test coverage report with gap analysis and recommendations

Why Choose Supertest for API Testing?

Supertest sits between unit tests and end-to-end tests. It tests your actual HTTP layer, middleware, validation, and database interactions together, without the overhead of a running server or a real network. This makes it faster and more deterministic than end-to-end tools like Cypress or Playwright for pure API testing.

For teams that already use Jest, adding Supertest requires minimal setup. Tests look like familiar assertions, the learning curve is low, and the feedback loop is fast. Our clients typically achieve 80-90% endpoint coverage within the first week of implementation.

Installation and Basic Setup

npm install -D supertest @types/supertest

Sample Test Suite

import request from 'supertest';
import { app } from '../../src/app';
import { db } from '../../src/database';

beforeAll(async () => await db.migrate.latest());
afterAll(async () => await db.destroy());
afterEach(async () => await db('users').truncate());

describe('POST /api/auth/login', () => {
    beforeEach(async () => {
        await request(app).post('/api/users').send({
            email: '[email protected]',
            password: 'password123',
            name: 'Test User',
        });
    });

    it('returns 200 and token on valid credentials', async () => {
        const res = await request(app)
            .post('/api/auth/login')
            .send({ email: '[email protected]', password: 'password123' })
            .expect(200);

        expect(res.body.access_token).toBeDefined();
        expect(res.body.user.email).toBe('[email protected]');
    });

    it('returns 401 on wrong password', async () => {
        await request(app)
            .post('/api/auth/login')
            .send({ email: '[email protected]', password: 'wrongpass' })
            .expect(401);
    });
});

How Are Authorized Requests Tested?

export async function getAuthToken(app: Express): Promise<string> {
    const res = await request(app)
        .post('/api/auth/login')
        .send({ email: '[email protected]', password: 'adminpass' });
    return res.body.access_token;
}

describe('Products API', () => {
    let token: string;

    beforeAll(async () => {
        token = await getAuthToken(app);
    });

    it('creates product with auth', async () => {
        const res = await request(app)
            .post('/api/products')
            .set('Authorization', `Bearer ${token}`)
            .send({ name: 'MacBook Pro', price: 150000, slug: 'macbook-pro' })
            .expect(201);

        expect(res.body.id).toBeDefined();
    });

    it('returns 401 without auth', async () => {
        await request(app).post('/api/products').send({ name: 'Test' }).expect(401);
    });
});

NestJS Integration

import { Test } from '@nestjs/testing';
import * as request from 'supertest';

describe('UsersController', () => {
    let app: INestApplication;

    beforeAll(async () => {
        const moduleRef = await Test.createTestingModule({
            imports: [AppModule],
        }).compile();
        app = moduleRef.createNestApplication();
        await app.init();
    });

    afterAll(async () => await app.close());

    it('GET /users returns array', () => {
        return request(app.getHttpServer()).get('/users').expect(200)
            .expect(res => expect(Array.isArray(res.body)).toBeTruthy());
    });
});

Delivery Process

Our team follows a four-step process for every API tests engagement:

  1. Audit your existing endpoints and identify which ones carry the most business risk
  2. Set up the test environment with database migrations, seed fixtures, and teardown logic
  3. Write tests for all endpoints, prioritizing auth flows and data-mutating operations
  4. Integrate the test suite with your CI pipeline and document the coverage baseline
Scope Timeline
10–15 endpoints, single auth flow 2–3 working days
20–30 endpoints with file upload and pagination 4–5 working days
Full API surface with NestJS and custom auth 5–7 working days

We deliver well-structured, maintainable tests. Contact us to get a quote based on your API documentation or Swagger spec. Our team will review it and send a detailed proposal within one business day.

CI Pipeline Integration

Tests that only run locally provide weak protection. We configure Supertest suites to run automatically on every pull request via GitHub Actions, GitLab CI, or your existing CI tool. A failing test blocks the merge until the issue is resolved.

# .github/workflows/api-tests.yml
jobs:
  test:
    services:
      postgres:
        image: postgres:15
        env:
          POSTGRES_DB: test_db
          POSTGRES_USER: test
          POSTGRES_PASSWORD: test
    steps:
      - uses: actions/checkout@v4
      - run: npm ci
      - run: npm test
        env:
          DATABASE_URL: postgresql://test:test@localhost/test_db

We configure the test database to reset between runs using migrations, and seed only the minimal fixture data each specific test requires.

How We Deliver

We audit your existing endpoints. We identify the highest-risk flows. We set up the test environment. We write authentication helpers. We cover happy paths first. We add all error case tests. We configure CI integration. We document the coverage baseline. We hand over the suite with a gap analysis report.

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.