Sold by: SilverLining.Cloud GmbH
Deployed on AWS
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This Amazon Machine Image (AMI) provides a preconfigured Puppeteer environment on Ubuntu. It includes sample code for executing headless Puppeteer scripts on preinstalled Chrome in Node.js.
Overview
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 provides a reliable solution for your Puppeteer scripts, including test automation, web scraping, automating routine web tasks, and application monitoring.
After deployment, you can run your Puppeteer scripts by connecting via SSH. Use command-line editors like nano or vim, or deploy your script files remotely with tools like WinSCP.
This AMI is designed to be minimal, containing only the necessary installations required for browser automation with Puppeteer.
Key Features:
- Hosted on Ubuntu 24.04 LTS, optimized for executing headless Puppeteer tests.
- Automate Preinstalled Chrome Browser.
- Sample Code Snippets provided for a convenient start with Node.js.
For further assistance, contact our expert cloud team via email at support@silverlining.cloud or through live chat on our website . Detailed documentation for this image is available here: https://www.silverlining.cloud/docs/aws/puppeteer-ubuntu .
Deploy Your Own Puppeteer Server in the Cloud Now!
Highlights
- Automate Preinstalled Chrome Browser with the Puppeteer framework in Node.js.
- Extended sample code snippets and preinstalled language bindings for a quick start with Node.js.
- Configured and supported by the SilverLining.Cloud team. Contact us via live chat on our website or email us at support@silverlining.cloud
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.small Recommended | $0.01 |
t2.micro | $0.01 |
t3.micro | $0.015 |
r5d.24xlarge | $0.027 |
r5b.xlarge | $0.027 |
r7i.16xlarge | $0.047 |
i4i.32xlarge | $0.054 |
m7i.xlarge | $0.027 |
g2.2xlarge | $0.027 |
h1.4xlarge | $0.027 |
Dimensions summary
You pay by the hour for the software running on an Amazon EC2 virtual machine. Each dimension maps to a specific EC2 instance type, billed per hour of use. The listing preconfigures Puppeteer on headless Ubuntu, so pricing scales with the instance size you pick. Smaller instances like t2.nano or t3.micro carry lower hourly rates, while large and metal instances such as p5.48xlarge or u-24tb1.112xlarge cost more per hour. You choose the instance based on your CPU, memory, and GPU needs. You are billed only for the hours each instance runs.
Top-of-mind questions for buyers
The software charge meters running instance-hours only. A stopped instance does not accrue the hourly software fee. You may still pay underlying AWS storage fees for the volume while the instance is stopped, but the software licence bills active running time.
One billed hour covers a running virtual machine of your chosen EC2 instance type, preconfigured with Puppeteer on headless Ubuntu. You connect over SSH as the 'ubuntu' user and run scripts from the /home/ubuntu/Puppeteer directory. The rate reflects the instance's CPU, memory, and GPU size.
Each instance type is a separate dimension with its own hourly rate. Switching to a larger type applies that type's rate for every hour it runs. The change is manual — you launch or relaunch on the new type. You pay only for the hours each type actually runs.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
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
Fixed a critical out-of-bounds write vulnerability (CVE-2026-32746) in the telnetd LINEMODE SLC suboption handler by adding buffer size validation.
Additional details
Usage instructions
Click here for detailed usage instructions with tutorials, screenshots, and troubleshooting tips.
Preconfigured sample code with Puppeteer is available in NodeJS. These code snippets demonstrate common browser operations, such as initializing the web driver, navigating to URLs, clicking elements, sending keys, scrolling, and taking screenshots.
Connect to the instance with SSH to run the sample code:
Access the NodeJS directory with cd /home/ubuntu/Puppeteer/NodeJS. Run the prebuilt script using the command: node script.js
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.
Resources
Vendor resources
Support
Vendor support
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.
Updated weekly
By SilverLining.Cloud GmbH
By Arara Solutions
AI generated from product descriptions
Browser Automation Framework
Puppeteer framework integrated with Node.js for automating Chrome browser interactions
Preinstalled Runtime Environment
Ubuntu 24.04 LTS operating system with preinstalled Chrome browser and Node.js runtime
Headless Browser Execution
Headless Chrome browser capability for executing automated scripts without graphical user interface
Sample Code and Language Bindings
Extended sample code snippets and preinstalled language bindings provided for quick implementation
Use Case Support
Support for test automation, web scraping, routine web task automation, and application monitoring scenarios
Dual Remote Access Methods
RDP connectivity on port 3389 compatible with Microsoft Remote Desktop, Remmina, and FreeRDP clients, plus web-based browser access on port 8080 requiring no additional client software installation
Operating System and Desktop Environment
Ubuntu 22.04 LTS (Jammy Jellyfish) with Gnome Desktop Environment, supported with security updates through April 2027, and automatic security updates enabled by default
Encryption and Security Protocols
RDP connections encrypted via TLS and web interface served over HTTPS, with configurable AWS Security Groups for restricting ingress to known IP ranges on ports 3389, 8080, and 22
Pre-installed Software Stack
xRDP Server for RDP connectivity, web-based remote access interface, Firefox web browser, and standard Ubuntu system utilities including file browser and system tools
Cloud Integration and Management
Integration with AWS Systems Manager for patch management and Amazon CloudWatch for instance monitoring and usage tracking
Operating System Version
Ubuntu 22.04 (Jammy Jellyfish) LTS with graphical user interface
Pre-installed Productivity Applications
Includes LibreOffice, GIMP, Firefox, and access to additional software through package manager
Cloud Platform Optimization
Fully optimized for AWS Cloud Platform deployment with maximum performance and reliability
System Architecture Support
Available on X86 architecture
Customizable Desktop Environment
Fully customizable Linux desktop environment with ability to install and configure additional software and tools
Standard contract
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