Sold by: SilverLining.Cloud GmbH
Deployed on AWS
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This product has charges associated with it for additional support. Launch a virtual machine with Selenium Remote WebDriver preinstalled to execute local scripts remotely using Chrome, Firefox, and Edge.
Overview
This is a repackaged open-source software that sets up a Selenium Remote Webdriver. Additional charges apply for support for this virtual machine.
Execute your local scripts with Selenium remotely
Launch a VM instance with this Amazon Machine Image (AMI) to set up your own Selenium Remote WebDriver server in the cloud in under five minutes. This self-configuring server image includes a ready-to-use Selenium Standalone server on Ubuntu 24.04. Connect to the Remote WebDriver using its public IPv4 address on port 4444: http://:4444. Selenium Remote WebDriver is ideal for test automation, routine web task automation, web crawlers, and app monitoring. The Remote WebDriver server allows you to run Selenium tests from any client machine without needing a local browser instance. Tests are executed on the virtual machine, freeing up local resources and ensuring consistent execution environments.
Easy Usage (Example in Python):
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
options = Options()
options.add_argument("--headless")
driver = webdriver.Remote(
command_executor="http://:4444",
options=options
)
driver.get("https://www.google.com ")
print(driver.title)
driver.quit()
This AMI is designed to be minimal, including only the Selenium Standalone server, ensuring a clean and lightweight virtual machine.
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/selenium-remote-ubuntu .
Deploy Selenium Remote Webdriver in the Cloud now!
Highlights
- Ready-to-use Selenium Remote WebDriver for running automated tests immediately with headless Chrome, Firefox, and Edge.
- Execute Selenium scripts from your local machine while tests run on the virtual machine, ensuring a consistent and scalable testing environment without using local system resources.
- 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.medium Recommended | $0.01 |
t3.micro | $0.01 |
t2.micro | $0.01 |
c6in.24xlarge | $0.01 |
c5d.4xlarge | $0.01 |
m6a.24xlarge | $0.01 |
c6a.large | $0.01 |
i3en.3xlarge | $0.01 |
t3a.small | $0.01 |
d2.8xlarge | $0.01 |
Dimensions summary
You pay by the hour for the EC2 instance type you choose when launching this software. The many dimensions all represent the same product running on different AWS instance types. Each instance type carries its own hourly rate, so your cost depends on the compute size you select. Smaller instances like t3.micro bill at a lower hourly rate, while larger instances such as metal and multi-GPU types bill at higher hourly rates. You scale cost up or down by picking a different instance type. Billing stops when you stop or terminate the instance.
Top-of-mind questions for buyers
You get a virtual machine running the software on the AWS EC2 instance type you select. The instance type sets the CPU, memory, and GPU resources. The software runs a standalone Selenium Remote Server, and you connect to it on port 4444 from your own client code.
The hourly software charge meters running time only. When you stop or terminate the instance, the software billing stops. A stopped instance may still accrue underlying AWS storage fees for its disk, but those are separate from this software charge.
The software is the same across every instance type. A larger instance gives more memory and compute, which the vendor notes can reduce crashes and slow first runs. Your choice only changes the hourly rate and available resources, not the product features.
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Vendor refund policy
For any issues, please reach out to our support team at support@silverlining.cloud or contact us via live chat to raise your case.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Manage Remote Server: The Selenium remote server starts automatically with every reboot of the EC2 instance. By default, it is accessible via the public IPv4 address of the instance on port 4444. Ensure that both the instance's security group and your local network allow traffic on this port. Since the server is publicly accessible from the internet, consider restricting access to your specific IP address for enhanced security.
Run Selenium scripts remotely
This example demonstrates Python using Edge. Visit our documentation for additional language support, including Node.js and Java.
from selenium import webdriver
options = webdriver.EdgeOptions() driver = webdriver.Remote(command_executor='http://<public.ip.v4.address>:4444/wd/hub', options=options) driver.get("https://www.whatismybrowser.com ") driver.save_screenshot('screenshot.png') driver.quit()
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.
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