AdsPower browser technology · Two ways to run it
Already using AdsPower? AdsCrawl brings its fingerprint browser technology to a managed cloud environment. Keep hands-on account work in AdsPower, and use AdsCrawl when APIs, batch jobs or AI agents need browsers without running them on your computer.
See the cloud browser in action →Published by AdsCrawl · Official documentation reviewed
A documentation-based feature comparison; not a performance benchmark.
A shared browser foundation
AdsCrawl runs AdsPower fingerprint browsers in a managed cloud environment. The native fingerprints and environment isolation you know become cloud resources you can access through an API. Browser workloads use cloud CPU and memory, leaving your computer available for other work.
Runs on a device you manage
Your computer / configured host
AdsPower browser profilesUses the host’s CPU and memory
A fit for daily account operations, hands-on browsing and established local automation. You control the host and maintain its runtime.
Runs in the AdsCrawl cloud
AdsCrawl managed cloud
AdsPower browser profilesCloud CPU and memory · Ready browser runtime
Need hands-on access? Remote control via WebRTC
A fit for batch extraction, scheduled workflows and AI calls. No local AdsPower installation or browser host to provision yourself.
You can use both: keep daily operations in AdsPower and move suitable API workloads to AdsCrawl. Your scheduler or AI agent still runs in your app, server or automation platform; remote interaction also needs a connected device.
Powered by AdsPower
The browser foundation is shared: native fingerprints, isolated environments and updates that follow AdsPower. AdsCrawl adds a managed place to run that browser for your applications and AI workflows.
Cloud browsers use AdsCrawl's execution resources, keeping their CPU and memory load off your computer. Your API client or live viewer still uses its own device resources.
AdsCrawl prepares and operates the browser environment. Connect your application, batch pipeline or AI tools with API credentials and task settings, without maintaining a local AdsPower installation.
Use the WebRTC viewer for responsive manual interaction with a saved Cloud Browser environment. Sign in, inspect a page or handle a step yourself, then reuse the profile for later work.
Technology & releases: AdsPower Local APIAdsPower AI & release notes
These recommendations follow the documented capabilities below; they do not imply the other provider cannot perform the same task.
Side by side
Each row links to official references. Proxy and session behavior is scoped to the named product; check the current contract before integrating.
Scroll the table sideways to compare both providers →
| Dimension | AdsCrawl | AdsPower |
|---|---|---|
| Where the browser runs | On AdsCrawl's managed cloud infrastructure; the browser workload does not execute on your computer. | On the machine running AdsPower. You manage that execution host and its available resources. |
| Browser foundation | Cloud Browser uses AdsPower fingerprint browsers with native fingerprints, isolated profiles and updates that follow AdsPower. | Provides fingerprint browser profiles with configurable settings, separate browser information and ongoing browser updates. |
| Installation & maintenance | AdsCrawl prepares the browser runtime. Configure your credentials, task settings and the proxy required by your chosen API. | Install and run AdsPower on a supported host; configure profiles, automation access and the execution environment you operate. |
| Batch jobs & recurring work | Call cloud APIs from your pipeline or scheduler, within your concurrency and running allowances. Host the caller too when it must be independent of a laptop. | RPA supports batches and scheduled runs. Its documented scheduler requires AdsPower to remain started and signed in on the execution machine. |
| AI integration | Your agent's tool layer calls cloud browser APIs. Your application supplies the AI model and task logic; AdsCrawl supplies browser execution. | Supports Local API, MCP and AI integrations. Messaging integrations can receive remote instructions while tasks execute on the local AI Agent host. |
| Manual interaction & saved state | Open a signed-in WebRTC viewer for hands-on Cloud Browser use. Saved profiles keep cookies for later runs; stop runtime explicitly when finished. | Open browser profiles on the execution machine for direct operation, with separate profile data and configurable data synchronization. |
| Capacity & costs | Compare plan allowances and measured usage. Saved Cloud Browser runtime requires a paid plan and an explicit valid proxy on each API-key start; HTTP tasks and temporary CDP have separate routing options. | Compare profile and member allowances, API access and the resources of the machines you operate. Include your proxy, hardware or hosted-machine costs. |
Keep daily account operations in AdsPower and try one collection job, scheduled check or AI browser task in AdsCrawl. Run it from a server or hosted scheduler if it must continue independently of your laptop.
Use HTTP browser tasks for page outputs, Remote CDP for compatible Playwright or Puppeteer scripts, and Cloud Browser for saved profiles with a live viewer. These have separate APIs and lifecycles; an AdsPower Local API script is not a drop-in AdsCrawl integration.
Test sign-in, proxy settings and a small batch before scaling. Confirm your running allowance, record actual usage, and stop or release each runtime when finished. Saved profiles and active browsers have different limits.
Use AdsCrawl when you want AdsPower browser technology without operating the execution environment yourself. AdsCrawl hosts the browsers and exposes cloud APIs and an interactive viewer. The additional value is managed cloud execution for applications, batches and AI workflows; you can keep using AdsPower for daily account work.
Yes. AdsPower provides RPA, Local API, MCP and AI integrations. Its documented AI messaging integration can receive tasks remotely, while execution remains on the local AI Agent machine. AdsCrawl moves browser execution into its managed cloud environment.
AdsCrawl's browser runs in the cloud, but the code controlling it must also keep running. Put your scheduler, script or AI agent on a server or hosted runner for an end-to-end workflow independent of your computer. A local script stops when its computer shuts down, and cloud sessions still follow their runtime limits.
You do not need a local AdsPower installation or your own browser server to use AdsCrawl. AdsCrawl prepares the browser runtime. You still configure your API credentials and workflow; saved Cloud Browser runtime currently requires a paid plan and a valid explicit proxy on each API-key start.
Yes. Sign in to AdsCrawl and open the Cloud Browser viewer to click, type, browse and inspect pages through WebRTC. You can use a full browser, including extensions. Responsiveness depends on your network and runtime; closing the viewer does not stop the browser or its charges.
Do not assume automatic profile, cookie, extension or subscription synchronization. Create and validate an AdsCrawl environment for the workflow you want to run. Saved Cloud Browser profiles can retain cookies between runs, but the destination website still controls login expiration.