This Amazon Machine Image (AMI) provides a preconfigured Puppeteer environment on Windows for web browser automation. It includes sample code for executing Puppeteer scripts on preinstalled Chrome using Node.js. Access Windows via RDP.
Deploy a Preinstalled Puppeteer environment to Automate Chrome
Running it on an EC2 instance is the easiest way to get started with Puppeteer in the cloud. This AMI offers a reliable, ready-to-use environment for test automation, web scraping, routine web task automation, and application monitoring.
This AMI features a full Windows Server environment. For developing and executing Puppeteer scripts, the virtual machine comes with Visual Studio Code preinstalled, allowing you to edit and run scripts directly from VS Code.
Designed to be minimal, this AMI includes only the necessary installations required to run Puppeteer on a Windows virtual machine.
Key Features:
Connect to Windows Server 2025 via RDP.
Preinstalled Visual Studio Code with sample Puppeteer scripts and language bindings for Node.js.
Deploy Your Own Puppeteer Server in the Cloud Now!
Highlights
Deploy a Windows Server with a preconfigured Puppeteer web browser automation environment. Develop and execute Puppeteer scripts in both headless and non-headless modes with Chrome.
Get started instantly with a preinstalled development environment. Leverage Visual Studio Code, preloaded with sample Puppeteer scripts for Node.js allowing you to start automating tasks immediately.
Configured and supported by the SilverLining.Cloud team. Contact us via live chat on our website or email us at support@silverlining.cloud
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Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour for a Windows virtual machine preloaded with Puppeteer for browser automation. Pricing follows the EC2 instance type you choose at launch. Each dimension maps to a specific instance size, so the hourly rate scales with the compute, memory, and hardware you select. Smaller shared instances cost less per hour, while large, metal, GPU, and high-memory instances cost more. You are billed only for the hours you run, with no upfront commitment. A recommended instance type is preselected during setup, but you can pick any listed option.
Top-of-mind questions for buyers
What does one billed hour cover on this listing?
One hour covers running time on a single Windows virtual machine preloaded with Puppeteer for browser automation. The instance type you pick sets the compute, memory, and hardware. You are charged per hour of running time on that one instance, regardless of how many scripts you execute.
Am I charged when I stop or shut down the instance?
The software charge meters running hours only. A fully stopped instance does not accrue software fees. Underlying AWS storage and other resource fees may still apply while the instance is stopped, but the per-hour listing charge applies only while the virtual machine is running.
Can I change instance types later to control my hourly cost?
Each dimension maps to a specific EC2 instance type, and the hourly rate follows the one you launch. To move to a different size, you launch a new instance of that type. Larger, metal, GPU, and high-memory types bill more per hour; smaller shared types bill less.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
This release focuses primarily on updating packages to their latest stable versions and bolstering security to ensure a seamless and safe user experience. We recommend updating to this latest version to benefit from all the enhancements it brings. As always, we're keen to hear from you. Should you encounter any issues or have suggestions for future updates, please reach out to our support team.
We are currently experiencing a delay in provisioning the instance. It may take up to 20 minutes for the instance to become ready for RDP connections and the initial configuration after the first login.
Default Credentials for RDP connection:
Username: Administrator
Computer Name: Public IPv4 address of your EC2 instance (e.g., 35.173.131.168)
Password: Retrieve the password from the AWS management console by selecting the instance, then going to "Actions" and choosing "Get Windows Password".
Run Puppeteer sample code:
To run our sample scripts, open Visual Studio Code and select the script you would like to execute. Click on 'Run' and then choose either 'Start Debugging' or 'Run Without Debugging'.
We keep software installations to a minimum, and no sensitive data is stored on the virtual machine instance. If you encounter any issues or have additional questions, please refer to our documentation or reach out to our support team.
If you need help with setup, configuration, integration, troubleshooting, or have a feature request, contact us at support@silverlining.cloud or chat live with our experts on our website.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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