requests vs Playwright API | Which Should You Use for Python API Testing?

When writing API tests in Python, many QA engineers face the same question: “Should I use requests or Playwright API?” requests is simple with a low learning curve; Playwright API excels at integrating with E2E tests. In this article, a QA engineer with 15+ years of hands-on experience compares both tools with real code — and gives you a practical framework for choosing the right one.

requests is a lightweight tool built for API testing. Playwright API is a tool for managing E2E and API tests in a single codebase. These tools serve different purposes — the question isn’t which is better, it’s which fits your situation.

The article’s goal isn’t to declare a winner — it’s to help you figure out which tool fits your team and workflow. Let’s walk through the differences with real code.

requests vs Playwright API | Core Comparison

Side-by-Side Code | The Same Test in Both Tools

Let’s write the same scenarios (GET, POST, and authentication) in both tools and see where the differences show up.

① GET Request — Basic Assertion

# ✅ requests + pytest
import requests

def test_can_retrieve_user_list():
    response = requests.get(
        "https://jsonplaceholder.typicode.com/users",
        timeout=(3, 10)
    )
    assert response.status_code == 200
    users = response.json()
    assert len(users) > 0
    assert "name" in users[0]

# 🎭 Playwright API + pytest
# ※ playwright fixture requires pytest-playwright plugin
from playwright.sync_api import Playwright

def test_can_retrieve_user_list(playwright: Playwright):
    api = playwright.request.new_context(
        base_url="https://jsonplaceholder.typicode.com"
    )
    response = api.get(
        "/users",
        timeout=10_000  # ms (10 seconds)
        # Playwright has a 30-second default; explicit timeout is recommended for CI stability
    )
    assert response.status == 200
    users = response.json()
    assert len(users) > 0
    assert "name" in users[0]
    # Simplified for demo — in production, always use fixture-based management
    api.dispose()

② POST Request — JSON Body

# ✅ requests + pytest
import requests

def test_can_create_post():
    payload = {
        "title": "Automated Test Post",
        "body": "Comparing requests vs Playwright API",
        "userId": 1
    }
    response = requests.post(
        "https://jsonplaceholder.typicode.com/posts",
        json=payload,
        timeout=(3, 10)
    )
    assert response.status_code == 201
    data = response.json()
    assert data["title"] == payload["title"]
    assert "id" in data

# 🎭 Playwright API + pytest
def test_can_create_post(playwright: Playwright):
    api = playwright.request.new_context(
        base_url="https://jsonplaceholder.typicode.com"
    )
    payload = {
        "title": "Automated Test Post",
        "body": "Comparing requests vs Playwright API",
        "userId": 1
    }
    response = api.post(
        "/posts",
        json=payload,
        timeout=10_000  # ms (10 seconds). Default 30s available; explicit is recommended
    )
    assert response.status == 201
    data = response.json()
    assert data["title"] == payload["title"]
    assert "id" in data
    # Simplified for demo — in production, always use fixture-based management
    api.dispose()

③ Cookie-Based Authentication

# ✅ requests + pytest (Cookie auth)
import requests
import pytest

BASE_URL = "https://restful-booker.herokuapp.com"

@pytest.fixture(scope="session")
def auth_token() -> str:
    response = requests.post(
        f"{BASE_URL}/auth",
        json={"username": "admin", "password": "password123"},
        timeout=(3, 10)
    )
    response.raise_for_status()  # Catch HTTP errors immediately
    data = response.json()
    assert "token" in data, "Auth response missing token"
    return data["token"]

def test_can_delete_booking(auth_token: str):
    headers = {"Cookie": f"token={auth_token}"}
    response = requests.delete(
        f"{BASE_URL}/booking/1",
        headers=headers,
        timeout=(3, 10)
    )
    assert response.status_code in (200, 201)

# 🎭 Playwright API + pytest (Cookie auth)
import pytest
from playwright.sync_api import Playwright, APIRequestContext

@pytest.fixture(scope="session")
def api_context(playwright: Playwright) -> APIRequestContext:
    # In production: place this in conftest.py for reuse across all tests
    api = playwright.request.new_context(
        base_url="https://restful-booker.herokuapp.com"
    )
    yield api
    api.dispose()

@pytest.fixture(scope="session")
def auth_token(api_context: APIRequestContext) -> str:
    response = api_context.post(
        "/auth",
        json={"username": "admin", "password": "password123"},
        timeout=10_000  # ms (10 seconds)
    )
    assert response.status == 200
    data = response.json()
    assert "token" in data, "Auth response missing token"
    return data["token"]

def test_can_delete_booking(api_context: APIRequestContext, auth_token: str):
    response = api_context.delete(
        "/booking/1",
        headers={"Cookie": f"token={auth_token}"},
        timeout=10_000
    )
    assert response.status in (200, 201)

④ Playwright’s Unique Strength | E2E + API Integration

# 🎭 Playwright: E2E and API tests in a single test
from playwright.sync_api import Page, expect

def test_user_appears_in_api_after_registration(page: Page, playwright):
    # ① Register via UI (E2E test)
    page.goto("https://example.com/register")
    page.fill("#email", "test@example.com")
    page.fill("#password", "SecurePass123")
    page.click("#register-btn")
    expect(page.get_by_text("Registration complete")).to_be_visible()

    # ② Verify via API that user was created (API test)
    api = playwright.request.new_context(
        base_url="https://example.com"
    )
    response = api.get("/api/users?email=test@example.com")
    assert response.status == 200
    users = response.json()
    assert len(users) == 1
    assert users[0]["email"] == "test@example.com"
    api.dispose()

    # requests alone cannot handle the UI step above —
    # E2E + API integration is natural when combining Playwright components

requests — Strengths and Weaknesses

Playwright API — Strengths and Weaknesses

Decision Flow | Which Tool Should You Choose?

Migration Decision Checklist | requests → Playwright API

Production Setup | Session, Fixtures, and conftest.py

When to Use requests.Session()

import pytest
import requests

BASE_URL = "https://restful-booker.herokuapp.com"

@pytest.fixture(scope="session")
def auth_session() -> requests.Session:
    session = requests.Session()
    # Set shared headers once
    session.headers.update({
        "Content-Type": "application/json",
        "Accept": "application/json"
    })
    response = session.post(
        f"{BASE_URL}/auth",
        json={"username": "admin", "password": "password123"},
        timeout=(3, 10)
    )
    response.raise_for_status()     # Catch HTTP errors immediately
    data = response.json()
    assert "token" in data, "Auth response missing token"
    token = data["token"]
    session.cookies.set("token", token)
    yield session       # yield enables teardown
    session.close()     # Always release the session after tests complete

def test_can_retrieve_bookings(auth_session: requests.Session):
    response = auth_session.get(f"{BASE_URL}/booking", timeout=(3, 10))
    assert response.status_code == 200
    assert len(response.json()) > 0

Recommended Directory Structure with conftest.py

tests/
├── conftest.py          # Shared fixtures (auth_session, api_context, etc.)
├── api/
│   ├── test_booking.py  # requests-based API tests
│   └── test_auth.py
└── e2e/
    ├── test_login.py    # Playwright-based E2E tests
    └── test_booking_ui.py

FAQ

# Minimal setup — no pytest-playwright required
from playwright.sync_api import sync_playwright

def test_retrieve_users():
    with sync_playwright() as p:
        api = p.request.new_context(
            base_url="https://jsonplaceholder.typicode.com"
        )
        response = api.get("/users", timeout=10_000)
        assert response.status == 200
        api.dispose()

Summary

The right question isn’t “which tool is better?” — it’s “which tool fits what my team actually needs?” Use the comparison table, decision flow, and checklist in this article to make a grounded choice.