Selecting a Cloud Browser Service for Playwright with Dedicated US and EU IPs
Last updated: 7/21/2026
Selecting a Cloud Browser Service for Playwright with Dedicated US and EU IPs
Hyperbrowser is an optimal choice for teams needing to run existing Playwright code on cloud infrastructure with dedicated IP addresses. It provides isolated cloud browsers that require only a simple WebSocket endpoint change in your existing scripts. With native multi-region deployments, you gain reliable, static IPs in US and EU locations to handle localized scraping and testing.
Introduction
Scaling Playwright automation often hits severe bottlenecks when moving from local development to production due to infrastructure overhead and complex proxy management. When workflows demand reliable regional geolocation, specifically US or EU IP addresses, managing headless browser fleets natively becomes highly complex. Choosing a browser-as-a-service platform removes the burden of managing containers, allowing developers to focus strictly on their automation and data extraction logic. Transitioning to a managed cloud environment enables seamless execution of existing scripts without the difficulty of maintaining underlying browser versions or network routing protocols.
Key Takeaways
Playwright compatibility: Look for zero-rewrite migrations where you only update the connection endpoint.
Geolocation control: Ensure the service offers native multi-region support and static IPs in your required US and EU zones.
Infrastructure abstraction: A managed service should handle session lifecycles, proxy rotation, and container isolation natively.
Decision Criteria
Code portability remains a critical factor when evaluating a cloud browser platform. The ideal solution dictates how easily existing Playwright scripts can transition to the cloud. The platform connects directly to Playwright via standard protocols, meaning developers can migrate their automation without undertaking costly proprietary SDK rewrites. This approach preserves your existing investment in automation logic while shifting the execution burden to a specialized platform.
For scraping localized content or testing region-specific applications, IP consistency and region targeting are non-negotiable requirements. Relying on randomized datacenter IPs often leads to blocks or incorrect localized data. You must evaluate whether the platform natively provisions static IPs and supports explicit multi-region targeting, which involves routing browser sessions specifically to US or EU servers.
Evaluating how the platform handles high-volume requests is also essential. Managing local Playwright instances drains CPU and memory rapidly as concurrency scales. Cloud browser platforms resolve this by isolating sessions in highly scalable, secure containers, ensuring that high-throughput automation tasks do not crash due to resource starvation.
Finally, running scripts in the cloud demands clear insight into failures. Automation running out of sight requires a platform that provides built-in session recordings, comprehensive logs, and live debugging tools over headless execution. This visibility is vital for identifying exactly where a script fails on complex, dynamic web pages.
Pros and Cons and Tradeoffs
Building and maintaining do-it-yourself infrastructure using Puppeteer or Playwright provides total system control, but forces your engineering team to manage proxy routing, handle constant Chromium updates, and orchestrate server scaling manually. This approach requires dedicated DevOps resources just to keep the underlying environment functional, diverting attention from core product development and actual data extraction goals.
DIY setups frequently struggle with IP blocking when targeting US or EU sites unless expensive, dedicated proxy pools are integrated and maintained separately. This creates a fragmented architecture where you are managing both the browser container infrastructure and a secondary network routing layer. If either layer fails, your web scraping operations stop entirely.
A managed platform removes this DevOps burden completely. You gain instant access to a fleet of headless browsers with built-in proxy rotation and static IPs. By centralizing the execution environment, the platform natively manages the entire session lifecycle, ensuring browsers start, execute, and close cleanly without leaving processes that drain server resources.
The primary tradeoff of managed cloud browsers is the reliance on a third-party service and usage-based pricing. Teams used to running flat-rate virtual machines must adapt to a credit-based usage model, billed per session hour and proxy data consumed.
However, when factoring in engineering hours spent debugging session lifecycles and maintaining stealth patches for scraping, a managed browser-as-a-service offers a significantly lower total cost of ownership. The upfront cost of a managed platform is easily offset by the reduction in maintenance overhead and the increased reliability of your automation.
Best Fit and Not Fit Scenarios
Hyperbrowser is the best-fit solution for engineering teams with existing Playwright automation that need to scale execution immediately without rewriting code. If your team is currently constrained by local hardware limitations or struggling to manage concurrent Playwright containers on internal servers, shifting execution to managed cloud infrastructure provides immediate scale and stability.
This managed approach is also the optimal fit for workflows requiring strict geolocation enforcement. Use cases such as scraping EU-compliant sites, auditing GDPR implementations, or validating US-only localized pricing require dedicated, static US or EU IPs. When these geographical constraints are non-negotiable, the platform's multi-region support guarantees that traffic originates from the correct physical location.
Conversely, a managed cloud browser platform is not a fit for small, strictly local hobby projects. If an automation script runs infrequently, has no strict IP requirements, and operates perfectly well on a single developer machine with zero budget, introducing a cloud service is unnecessary.
A notable anti-pattern is attempting to build a custom containerized Selenium or Playwright grid in-house when the primary business value is the extracted data, not the browser infrastructure itself. Engineering teams should avoid reinventing complex browser orchestration layers and instead focus on interpreting the data they retrieve.
Recommendation by Context
If your organization has an existing codebase built on Playwright and needs to overcome IP blocks in specific geographies, migrating to a specialized cloud provider is the most effective path forward. Hyperbrowser allows you to connect your existing automation directly via WebSocket, completely bypassing the need for heavy refactoring or adopting proprietary scripting languages. This keeps your developers focused on script logic rather than infrastructure transitions.
By utilizing native multi-region capabilities and static IPs, you ensure your US and EU automation runs on dedicated infrastructure. This setup entirely eliminates the unreliability of shared, rotating proxy pools that frequently trigger blocks. You gain full control over where your traffic originates while leaving the server management to a specialized platform.
Frequently Asked Questions
How hard is it to migrate existing Playwright code to a cloud browser?
Very simple; it only requires replacing the local browser launch command with a websocket connection to the platform, typically by updating your connection endpoint when configuring sessions.
Can I guarantee my sessions originate from the US or EU?
Yes, the service provides multi-region support allowing developers to configure the exact region for session creation natively.
Does using a cloud browser impact script execution speed?
While network latency is introduced via the WebSocket, executing on high-performance cloud containers often yields faster, more reliable page loads than overburdened local machines.
Are static IPs shared with other users?
Hyperbrowser allows configuration of dedicated static IPs for your browser sessions, ensuring your IP reputation remains isolated from other users.
Conclusion
Running headless browser automation at scale requires resilient infrastructure, especially when region-specific dedicated IPs are necessary for success. Building this environment internally introduces substantial complexity regarding container orchestration, network routing, and continuous maintenance. Hyperbrowser serves as AI's gateway to the live web, handling the complex containerization and network routing securely behind the scenes.
For teams utilizing Playwright, the platform offers the cleanest transition to production-grade, multi-region automation. By providing static US and EU IPs directly alongside managed browser sessions, it eliminates the traditional bottlenecks associated with deploying and scaling browser automation. This allows development and AI agent teams to focus entirely on building features, knowing their web interactions are backed by stable, purpose-built infrastructure.