AWS Lambda Headless Chrome with Selenium

AWS Lambda layers of Headless Chrome binary with Chrome driver and Selenium Python package that work out-of-box and make work with Selenium on AWS Lambda more transparent.

How to use

1. Create two zip archieves. The first archive should have content of layers/selenium/python/, so on unzipping it has to be python/lib/..., and the second archive should have content of layers/chrome/chrome/, so on unzipping it has to be chrome/... (second chrome folder).
2. In AWS Lambda go to Additional resources -> Layers and create two layers with arbitrary names.
3. Upload zip archives to each layer accordingly and select Python 3.7 runtime. The Chrome layer binaries size requires uploading it through AWS S3.
4. To create a function, go to Functions -> Create function -> Author from scratch and select Python 3.7 runtime. In addition, remember create a new default execution role or use an existing one.
5. Add layers to the function by going to Add layer -> Custom layers. Each layer, including the Chrome one, should have the same runtime, Python 3.7 runtime, since a layer's runtime requires to be the same as with a function.

For testing, import index.py to the function and replace bucket name your-bucket-name-here in the code. Be sure that the role that is assigned to the function has access to the bucket for screenshots uploading.