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Continuous Integration

Playwright tests can be executed in CI environments. We have created sample configurations for common CI providers.

Introduction​

3 steps to get your tests running on CI:

  1. Ensure CI agent can run browsers: Use our Docker image in Linux agents or install your dependencies using the CLI.

  2. Install Playwright:

    # Install NPM packages
    npm ci
    # or
    npm install

    # Install Playwright browsers and dependencies
    npx playwright install --with-deps

  3. Run your tests:

    npx playwright test

Workers​

We recommend setting workers to "1" in CI environments to prioritize stability and reproducibility. Running tests sequentially ensures each test gets the full system resources, avoiding potential conflicts. However, if you have a powerful self-hosted CI system, you may enable parallel tests. For wider parallelization, consider sharding - distributing tests across multiple CI jobs.

playwright.config.ts
import { defineConfig, devices } from '@playwright/test';

export default defineConfig({
  // Opt out of parallel tests on CI.
  workers: process.env.CI ? 1 : undefined,
});

CI configurations​

The Command line tools can be used to install all operating system dependencies on GitHub Actions.

GitHub Actions​

On push/pull_request​

name: Playwright Tests
on:
  push:
    branches: [ main, master ]
  pull_request:
    branches: [ main, master ]
jobs:
  test:
    timeout-minutes: 60
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - uses: actions/setup-node@v3
      with:
        node-version: 18
    - name: Install dependencies
      run: npm ci
    - name: Install Playwright Browsers
      run: npx playwright install --with-deps
    - name: Run Playwright tests
      run: npx playwright test
    - uses: actions/upload-artifact@v3
      if: always()
      with:
        name: playwright-report
        path: playwright-report/
        retention-days: 30

On push/pull_request (sharded)​

GitHub Actions supports sharding tests between multiple jobs using the jobs.<job_id>.strategy.matrix option. The matrix option will run a separate job for every possible combination of the provided options. In the example below, we have 2 project values, 10 shardIndex values and 1 shardTotal value, resulting in a total of 20 jobs to be run. So it will split up the tests between 20 jobs, each running a different browser and a different subset of tests, see here for more details.

name: Playwright Tests
on:
  push:
    branches: [ main, master ]
  pull_request:
    branches: [ main, master ]
jobs:
  playwright:
    name: 'Playwright Tests - ${{ matrix.project }} - Shard ${{ matrix.shardIndex }} of ${{ matrix.shardTotal }}'
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        project: [chromium, webkit]
        shardIndex: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        shardTotal: [10]
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-node@v3
        with:
          node-version: 18
      - name: Install dependencies
        run: npm ci
      - name: Install browsers
        run: npx playwright install --with-deps
      - name: Run your tests
        run: npx playwright test --project=${{ matrix.project }} --shard=${{ matrix.shardIndex }}/${{ matrix.shardTotal }}

Note: The ${{ <expression> }} is the expression syntax that allows accessing the current context. In this example, we are using the matrix context to set the job variants.

Via Containers​

GitHub Actions support running jobs in a container by using the jobs.<job_id>.container option. This is useful to not pollute the host environment with dependencies and to have a consistent environment for e.g. screenshots/visual regression testing across different operating systems.

name: Playwright Tests
on:
  push:
    branches: [ main, master ]
  pull_request:
    branches: [ main, master ]
jobs:
  playwright:
    name: 'Playwright Tests'
    runs-on: ubuntu-latest
    container:
      image: mcr.microsoft.com/playwright:v1.34.3-jammy
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-node@v3
        with:
          node-version: 18
      - name: Install dependencies
        run: npm ci
      - name: Run your tests
        run: npx playwright test

Via Containers (sharded)​

GitHub Actions supports sharding tests between multiple jobs using the jobs.<job_id>.strategy.matrix option. The matrix option will run a separate job for every possible combination of the provided options. In the example below, we have 2 project values, 10 shardIndex values and 1 shardTotal value, resulting in a total of 20 jobs to be run. So it will split up the tests between 20 jobs, each running a different browser and a different subset of tests, see here for more details.

name: Playwright Tests
on:
  push:
    branches: [ main, master ]
  pull_request:
    branches: [ main, master ]
jobs:
  playwright:
    name: 'Playwright Tests - ${{ matrix.project }} - Shard ${{ matrix.shardIndex }} of ${{ matrix.shardTotal }}'
    runs-on: ubuntu-latest
    container:
      image: mcr.microsoft.com/playwright:v1.34.3-jammy
    strategy:
      fail-fast: false
      matrix:
        project: [chromium, webkit]
        shardIndex: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        shardTotal: [10]
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-node@v3
        with:
          node-version: 18
      - name: Install dependencies
        run: npm ci
      - name: Run your tests
        run: npx playwright test --project=${{ matrix.project }} --shard=${{ matrix.shardIndex }}/${{ matrix.shardTotal }}

On deployment​

This will start the tests after a GitHub Deployment went into the success state. Services like Vercel use this pattern so you can run your end-to-end tests on their deployed environment.

name: Playwright Tests
on:
  deployment_status:
jobs:
  test:
    timeout-minutes: 60
    runs-on: ubuntu-latest
    if: github.event.deployment_status.state == 'success'
    steps:
    - uses: actions/checkout@v3
    - uses: actions/setup-node@v3
      with:
        node-version: 18
    - name: Install dependencies
      run: npm ci
    - name: Install Playwright
      run: npx playwright install --with-deps
    - name: Run Playwright tests
      run: npx playwright test
      env:
        # This might depend on your test-runner/language binding
        PLAYWRIGHT_TEST_BASE_URL: ${{ github.event.deployment_status.target_url }}

Docker​

We have a pre-built Docker image which can either be used directly, or as a reference to update your existing Docker definitions.

Suggested configuration

  1. Using --ipc=host is also recommended when using Chromium. Without it Chromium can run out of memory and crash. Learn more about this option in Docker docs.
  2. Seeing other weird errors when launching Chromium? Try running your container with docker run --cap-add=SYS_ADMIN when developing locally.
  3. Using --init Docker flag or dumb-init is recommended to avoid special treatment for processes with PID=1. This is a common reason for zombie processes.

Azure Pipelines​

For Windows or macOS agents, no additional configuration required, just install Playwright and run your tests.

For Linux agents, you can use our Docker container with Azure Pipelines support running containerized jobs. Alternatively, you can use Command line tools to install all necessary dependencies.

For running the Playwright tests use this pipeline task:

jobs:
    - deployment: Run_E2E_Tests
      pool:
        vmImage: ubuntu-22.04
      container: mcr.microsoft.com/playwright:v1.34.3-jammy
      environment: testing
      strategy:
        runOnce:
          deploy:
            steps:
            - checkout: self
            - task: Bash@3
              displayName: 'Run Playwright tests'
              inputs:
                workingDirectory: 'my-e2e-tests'
                targetType: 'inline'
                failOnStderr: true
                env:
                  CI: true
                script: |
                  npm ci
                  npx playwright test

This will make the pipeline run fail if any of the playwright tests fails. If you also want to integrate the test results with Azure DevOps, use the task PublishTestResults task like so:

jobs:
    - deployment: Run_E2E_Tests
      pool:
        vmImage: ubuntu-22.04
      container: mcr.microsoft.com/playwright:v1.34.3-jammy
      environment: testing
      strategy:
        runOnce:
          deploy:
            steps:
            - checkout: self
            - task: Bash@3
              displayName: 'Run Playwright tests'
              inputs:
                workingDirectory: 'my-e2e-tests'
                targetType: 'inline'
                failOnStderr: true
                env:
                  CI: true
                script: |
                  npm ci
                  npx playwright test
            - task: PublishTestResults@2
              displayName: 'Publish test results'
              inputs:
                searchFolder: 'my-e2e-tests/test-results'
                testResultsFormat: 'JUnit'
                testResultsFiles: 'e2e-junit-results.xml'
                mergeTestResults: true
                failTaskOnFailedTests: true
                testRunTitle: 'My End-To-End Tests'
              condition: succeededOrFailed()

Note: The JUnit reporter needs to be configured accordingly via

["junit", { outputFile: "test-results/e2e-junit-results.xml" }]

in playwright.config.ts.

CircleCI​

Running Playwright on CircleCI is very similar to running on GitHub Actions. In order to specify the pre-built Playwright Docker image, simply modify the agent definition with docker: in your config like so:

executors:
   pw-jammy-development:
     docker:
       - image: mcr.microsoft.com/playwright:v1.34.3-jammy

Note: When using the docker agent definition, you are specifying the resource class of where playwright runs to the 'medium' tier here. The default behavior of Playwright is to set the number of workers to the detected core count (2 in the case of the medium tier). Overriding the number of workers to greater than this number will cause unnecessary timeouts and failures.

Sharding in CircleCI​

Sharding in CircleCI is indexed with 0 which means that you will need to override the default parallelism ENV VARS. The following example demonstrates how to run Playwright with a CircleCI Parallelism of 4 by adding 1 to the CIRCLE_NODE_INDEX to pass into the --shard cli arg.

  playwright-job-name:
    executor: pw-jammy-development
    parallelism: 4
    steps:
      - run: SHARD="$((${CIRCLE_NODE_INDEX}+1))"; npx playwright test -- --shard=${SHARD}/${CIRCLE_NODE_TOTAL}

Jenkins​

Jenkins supports Docker agents for pipelines. Use the Playwright Docker image to run tests on Jenkins.

pipeline {
   agent { docker { image 'mcr.microsoft.com/playwright:v1.34.3-jammy' } }
   stages {
      stage('e2e-tests') {
         steps {
            // Depends on your language / test framework
            sh 'npm install'
            sh 'npx playwright test'
         }
      }
   }
}

Bitbucket Pipelines​

Bitbucket Pipelines can use public Docker images as build environments. To run Playwright tests on Bitbucket, use our public Docker image (see Dockerfile).

image: mcr.microsoft.com/playwright:v1.34.3-jammy

GitLab CI​

To run Playwright tests on GitLab, use our public Docker image (see Dockerfile).

stages:
  - test

tests:
  stage: test
  image: mcr.microsoft.com/playwright:v1.34.3-jammy
  script:
  ...

Sharding​

GitLab CI supports sharding tests between multiple jobs using the parallel keyword. The test job will be split into multiple smaller jobs that run in parallel. Parallel jobs are named sequentially from job_name 1/N to job_name N/N.

stages:
  - test

tests:
  stage: test
  image: mcr.microsoft.com/playwright:v1.34.3-jammy
  parallel: 7
  script:
    - npm ci
    - npx playwright test --shard=$CI_NODE_INDEX/$CI_NODE_TOTAL

GitLab CI also supports sharding tests between multiple jobs using the parallel:matrix option. The test job will run multiple times in parallel in a single pipeline, but with different variable values for each instance of the job. In the example below, we have 2 PROJECT values, 10 SHARD_INDEX values and 1 SHARD_TOTAL value, resulting in a total of 20 jobs to be run.

stages:
  - test

tests:
  stage: test
  image: mcr.microsoft.com/playwright:v1.34.3-jammy
  parallel:
    matrix:
      - PROJECT: ['chromium', 'webkit']
        SHARD_INDEX: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        SHARD_TOTAL: 10
  script:
    - npm ci
    - npx playwright test --project=$PROJECT --shard=$SHARD_INDEX/$SHARD_TOTAL

Caching browsers​

With the default behavior, Playwright downloads the browser binaries in the following directories:

  • %USERPROFILE%\AppData\Local\ms-playwright on Windows
  • ~/Library/Caches/ms-playwright on MacOS
  • ~/.cache/ms-playwright on Linux

To cache the browser downloads between CI runs, cache this location in your CI configuration, against a hash of the Playwright version.

Debugging browser launches​

Playwright supports the DEBUG environment variable to output debug logs during execution. Setting it to pw:browser* is helpful while debugging Error: Failed to launch browser errors.

DEBUG=pw:browser* npx playwright test

Running headed​

By default, Playwright launches browsers in headless mode. This can be changed by passing a flag when the browser is launched.

// Works across chromium, firefox and webkit
const { chromium } = require('playwright');
const browser = await chromium.launch({ headless: false });

On Linux agents, headed execution requires Xvfb to be installed. Our Docker image and GitHub Action have Xvfb pre-installed. To run browsers in headed mode with Xvfb, add xvfb-run before the Node.js command.

xvfb-run node index.js