Is Headless Chromium compatible with cloud services like AWS Lambda?

Yes, Headless Chromium is compatible with cloud services like AWS Lambda, but there are some important considerations to keep in mind.

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. It has some specific constraints, such as a limited execution time (up to 15 minutes per invocation), limited disk space in the execution environment (512 MB in the /tmp directory), and a maximum deployment package size.

To run Headless Chromium in AWS Lambda, you typically need to do the following:

  1. Custom Chromium Binary: You'll need a Chromium binary that's compatible with the Amazon Linux environment that Lambda functions run on. This binary needs to be compiled specifically for this environment and stripped down to reduce size, as Lambda has a package size limit (50 MB zipped, 250 MB unzipped).

  2. AWS Lambda Layer: You can package the Chromium binary and its dependencies into an AWS Lambda Layer, which is a ZIP archive containing libraries, a custom runtime, or other dependencies. You can use layers to keep your deployment package size small.

  3. Serverless Framework or AWS SAM: You can use tools like the Serverless Framework or AWS Serverless Application Model (SAM) to manage the deployment of your functions and layers. These tools can help automate the deployment process and make it easier to manage.

  4. Headless Browser Automation Frameworks: You can use frameworks like Puppeteer or Selenium with a compatible WebDriver to control the headless browser. For Puppeteer, you'll need to use a version that is specifically designed to work with the custom Chromium binary mentioned above (such as chrome-aws-lambda).

Here's a basic example of how you might set up a Lambda function to run Headless Chromium using Node.js and the chrome-aws-lambda package, which includes a binary compatible with AWS Lambda:

const chromium = require('chrome-aws-lambda');
const puppeteer = require('puppeteer-core');

exports.handler = async (event, context) => {
  let browser = null;
  try {
    // Launch the headless browser
    browser = await puppeteer.launch({
      args: chromium.args,
      executablePath: await chromium.executablePath,
      headless: chromium.headless,

    // Perform web scraping or automation tasks
    const page = await browser.newPage();
    await page.goto('');

    // ... more actions ...

    return {
      statusCode: 200,
      body: JSON.stringify({ message: 'Task completed' }),
  } catch (error) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: error.message }),
  } finally {
    if (browser !== null) {
      await browser.close();

To deploy this function, you'd need to include chrome-aws-lambda and puppeteer-core in your package.json file and bundle them with your deployment package or use a Lambda Layer.

Remember that running Headless Chromium on AWS Lambda can be resource-intensive, and you need to carefully manage the function's execution time and memory usage to avoid hitting limits and incurring additional costs. It's also important to consider the cold start times, as initializing the headless browser can take a significant amount of time.

For Python, similar considerations apply. You would use the selenium package along with a compatible WebDriver, and you would need to manage the Chromium binary and its dependencies in a similar fashion.

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