This is a solid guide for setting up web scraping with AWS Lambda and Docker! A few areas to consider for improvement or optimization:

Reducing Image Size

The base image public.ecr.aws/lambda/python:3.9 is a good choice, but including Chrome and its dependencies might increase the size significantly. You can explore slim versions or use Lambda base images with Chromium preinstalled to keep it lightweight. Lambda Execution Timeout

Web scraping tasks, especially with Selenium, can be slow. Ensure your Lambda function has an appropriate timeout (--timeout 30 or higher) when creating it. Handling Dynamic Content

Some pages use anti-bot measures. Consider adding randomized user agents, proxies, or request throttling. Headless Chrome Pre-bundled Options

Instead of installing Chrome via webdriver-manager, you could use a pre-compiled headless Chromium binary (e.g., chromium from aws-chrome-lambda). Logging & Error Handling

Use AWS CloudWatch to debug failures: python Copy Edit import logging logger = logging.getLogger() logger.setLevel(logging.INFO) Wrap the driver.get(url) in a try-except block to handle common scraping errors gracefully.