This Amazon Machine Image (AMI) provides a preconfigured Selenium WebDriver environment on Ubuntu with a graphical user interface (GUI). It includes sample code for executing Selenium scripts with the Tor browser in the Onion network. Access the virtual machine via RDP or VNC.
Deploy a Preinstalled Selenium WebDriver to Automate Tor
Running Selenium WebDriver on an EC2 instance is the easiest way to get started with Selenium in the cloud. This AMI offers a reliable, ready-to-use environment for test automation, web scraping, routine web task automation, and application monitoring.
Easily connect to the virtual desktop using RDP or VNC. Use the EC2 instance's public IP as the hostname and the instance ID as the initial password for both RDP and VNC. Log in with the username "ubuntu".
For seamless development and execution of Selenium scripts, the virtual machine comes with Visual Studio Code preinstalled. You can edit scripts directly in VS Code or transfer your files remotely using tools like WinSCP.
This AMI is designed to be minimal, containing only the necessary installations required to run Selenium WebDriver on a Graphical User Interface (GUI).
Key Features:
Ubuntu-based with a lightweight Xfce GUI for smooth performance.
Connect via RDP or VNC to interact with the GUI remotely.
Self-configures at launch: Use the EC2 instance ID as the initial password for RDP/VNC.
Automate the Tor browser in the Onion network.
Preinstalled Visual Studio Code with sample Selenium scripts and language bindings for Python.
Watch our video tutorials to get started with this image:
One-click deployment of Ubuntu with a graphical user interface (GUI) to run Selenium scripts in both headless and non-headless modes. It comes preconfigured allowing you to automate the Tor browser in the Onion network.
Easily access the Xfce desktop environment via RDP or VNC. Get started instantly with preinstalled Visual Studio Code, sample Selenium scripts, and language bindings for Python.
Configured and supported by the SilverLining.Cloud team. Contact us via live chat on our website or email us at support@silverlining.cloud
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
You pay by the hour for the EC2 instance type you run this image on. Pricing scales with the instance you choose, not with tiers or feature packs. Each listed dimension maps to a specific EC2 instance size, from small burstable types like t2.nano up to large compute, memory, GPU, and bare-metal machines. Larger or more specialized instances carry higher hourly rates. You pick one instance type at launch and only pay while it runs. There are no upfront costs, monthly minimums, or long-term commitments. Charges appear directly on your AWS invoice.
Top-of-mind questions for buyers
What does one hourly unit cover for this image?
Each unit is one running EC2 instance of the type you select at launch. You pay the software rate for every hour that instance runs. Running two instances bills two hourly rates in parallel. The rate reflects the instance size you chose, not the number of scripts or browsers you run.
Am I charged when I stop or pause my instance?
Software charges meter running time only. A stopped instance does not accrue the hourly software fee. You still pay underlying AWS charges, such as storage for the instance's disk, while it is stopped. Charges resume when you start the instance again.
Is there any commitment, or is this strictly pay-as-you-go?
This uses a consumption-based model with no upfront cost, monthly minimum, or long-term contract. You pay per hour of compute while an instance runs. You can cancel the subscription anytime through the AWS Marketplace Console. Charges appear as native line items on your AWS invoice.
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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
Enhanced system security by patching SQLite memory corruption vulnerabilities and synchronizing all core dependencies to the latest versions.
Computer Name: Public IPv4 address of your EC2 instance (e.g., 35.173.131.168)
Password: Instance ID of your EC2 instance (e.g., i-0ed22c98429479e1c)
Connect with RDP (Remote Desktop Protocol) to run the sample code:
Launch your RDP client software on your local machine.
Connect using the public IP address of your instance, on port 3389.
When prompted, enter the username (ubuntu) and the password (your Instance ID). When connecting with Windows Remote Desktop Connection, go to "More Options" and select "Allow me to save credentials." This is the only way the app will prompt you to enter a password.
Open the Tor browser and connect to the Tor network. Ensure the browser remains open while executing the test scripts.
Launch Visual Studio Code from the Applications panel and select the preconfigured script.
Execute the code by clicking Run and then selecting Run Without Debugging.
Connect with VNC (Virtual Network Computing) to run the sample code::
Launch your VNC client on your local machine.
Connect using the public IP address of your instance, on port 5901.
When prompted, enter the password (your Instance ID).
Open the Tor browser and connect to the Tor network. Ensure the browser remains open while executing the test scripts.
Launch Visual Studio Code from the Applications panel and select the preconfigured script.
Execute the code by clicking Run and then selecting 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.
This Amazon Machine Image (AMI) provides a preconfigured Selenium WebDriver environment on Windows. It includes sample code for executing Selenium scripts on preinstalled Chrome, Firefox, and Edge using Python, Node.js, and Java. Access Windows via RDP.
This Amazon Machine Image (AMI) provides a preconfigured Selenium WebDriver environment on Ubuntu with a graphical user interface (GUI). It includes sample code for executing Selenium scripts on preinstalled Chrome, Firefox, and Edge using Python, Node.js, and Java. Access the GUI via RDP or VNC.
A smart proxy server that helps to run tests against different browsers and operating systems. The tool emulates a user environment allowing tests to validate human behavior in it.
Deployment guide: https://github.com/zebrunner/e3s
This Amazon Machine Image (AMI) provides a preconfigured Selenium WebDriver on Ubuntu. It includes sample code for executing Selenium scripts on preinstalled Chrome, Firefox, and Edge using Python, Node.js, and Java.
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