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🆗 Run Google Chrome Lighthouse on AWS Lambda.

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joytocode/lighthouse-lambda

Run Google Chrome Lighthouse on AWS Lambda.

Versions

Since version 2.x, lighthouse-lambda has the same major version of lighthouse. For example, lighthouse-lambda 5.x will use lighthouse 5.x.

This README is for version 5.x. To see older versions, visit:

Installation

$ npm install lighthouse-lambda --save

Lambda function

// index.js

const createLighthouse = require('lighthouse-lambda')

exports.handler = function (event, context, callback) {
  Promise.resolve()
    .then(() => createLighthouse('https://example.com', { logLevel: 'info' }))
    .then(({ chrome, results }) => {
          // Do something with `results`
          return chrome.kill().then(() => callback(null))
        })
        .catch((error) => {
          // Handle errors when running Lighthouse
          return chrome.kill().then(() => callback(error))
        })
    // Handle other errors
    .catch(callback)
}

Testing locally

You can use docker-lambda to test your Lambda function locally.

$ docker run --rm -v "$PWD":/var/task lambci/lambda:nodejs12.x index.handler

Deployment

You can use docker-lambda to install dependencies and pack your Lambda function.

$ docker run --rm -v "$PWD":/var/task lambci/lambda:build-nodejs12.x bash -c "rm -rf node_modules && npm install"

$ docker run --rm -v "$PWD":/var/task lambci/lambda:build-nodejs12.x bash -c "rm -f *.zip && zip lambda.zip -r node_modules index.js package.json"
  • The file will be big (at least 75MB), so you need to upload it to S3 then deploy to Lambda from S3.
  • You should allocate at least 512 MB memory and 15 seconds timeout to the function.

API

createLighthouse(url, [options], [config])

Same parameters as Using Lighthouse programmatically.

Returns a Promise of an Object with the following fields:

Credits

License

MIT

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🆗 Run Google Chrome Lighthouse on AWS Lambda.

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