Скачать или смотреть aws lambda tutorial using selenium with chromedriver in python

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certainly! aws lambda is a serverless compute service that allows you to run code without provisioning or managing servers. combining aws lambda with selenium and chromedriver can be useful for tasks like web scraping or automated testing.

in this tutorial, we'll walk through setting up an aws lambda function that uses selenium with chromedriver to perform a simple web scraping task. we'll use python for this example.

prerequisites

1. **aws account**: you need to have an active aws account.
2. **aws cli**: install and configure the aws command line interface (cli) on your machine.
3. **python 3.x**: ensure you have python installed.
4. **pip**: ensure you have pip (python package installer) installed.

step 1: create a lambda function

1. **log in to the aws management console**.
2. **navigate to lambda**: search for 'lambda' in the services and select it.
3. **create a function**:
click on "create function".
choose "author from scratch".
give your function a name (e.g., `seleniumscraper`).
choose the runtime as python 3.x.
choose or create an execution role with basic lambda permissions.

step 2: package selenium and chromedriver

aws lambda has a limitation on the size of deployment packages. to use selenium and chromedriver, you’ll create a deployment package that includes all the necessary files.

2.1 install dependencies locally

1. *create a directory* for your project:

```bash
mkdir selenium-lambda
cd selenium-lambda
```

2. **install selenium**:

```bash
pip install selenium -t .
```

3. **download chromedriver**:
download the headless version of chrome and the corresponding chromedriver for the version you choose. you can find the headless version of chrome [here](https://chromium.googlesource.com/chr....
place the `chromedriver` binary in your project directory.

2.2 create a lambda layer for chrome

1. **create a layer directory**:

```bash
...

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