AI browser automation: describe the job once and let a browser AI agent finish it in batches
Dozens of accounts usually need the same handful of actions every day: sign in, open the back office, change a few fields, export a sheet. Scripting means queuing behind developers and rewriting after every layout change, while an off-the-shelf agent starts from a signed-out browser each run and falls apart the moment you go parallel. NexBrowser lets you state the task, turns it into editable steps, and dispatches it to dozens of isolated profiles that are already signed in.
Free plan: 1 member and 10 windows. The Local API is free with unlimited calls.
You
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Generated flowReusable
ScopeAuthorized only
When AI fails to do the work for you, the model is rarely the reason
Models already read pages and click accurately. What breaks batch work is the browser the agent is running inside.
Automation means queuing for a developer
The most repetitive work sits with operators, yet a request, a sprint slot and a round of debugging take two weeks. By the time the script ships, the platform has often shipped a new layout.
The agent logs in from scratch every run
Open-source agents launch a clean browser with empty cookies and local storage. Every run repeats the login and the verification code, and across dozens of accounts half the time goes into getting through the door.
Every account crammed into one browser
Running accounts in parallel from one browser means one fingerprint and one exit IP, with timing far too regular to look human. Platforms grouping those accounts onto a single device is only a matter of time.
Automation APIs sold by tier
Plenty of tools park the API in an expensive plan and cap daily calls on top. Batch jobs die halfway with no usable log, leaving you to guess what happened.
From writing scripts to simply describing the job
The old way
- Automation means scripting, so operators queue up behind developers
- One layout change breaks the script and maintenance outweighs the gains
- Agents log in from scratch every run, and parallel accounts get unmanageable
- The automation API sits behind a paid tier with a cap on calls
With NexBrowser
- Describe the task in plain language and AI turns it into a runnable flow
- A free Local API connects browser-use, Playwright MCP and similar frameworks
- Sessions and logins persist while many profiles run in parallel
- The Local API is free and sets no ceiling on the number of calls
Give AI real control of the browser
From a one-sentence description to finished results across dozens of profiles.
Describe tasks in plain language
Say what you want — sign in, filter, export the report — and AI breaks it into editable, reusable flow steps.
Connect mainstream agent frameworks
A free Local API with no call limits, compatible with browser-use, Playwright MCP, Selenium, Puppeteer, Playwright and WebDriver.
Persistent sessions and logins
Every profile keeps its own cookies, cache and local storage, so the agent resumes instead of logging in again.
Run many profiles in parallel
Push one flow to multiple isolated profiles at once, each with its own proxy and fingerprint, with no cross-talk.
How a browser AI agent runs batch tasks: from one sentence to dozens of profiles at once
Start by stating the job: which stores, which template, which fields to change, what the result should look like. AI breaks it into a list of editable steps — open this page, wait for that element, click this button, read that text. You skim the list, fix whatever looks wrong, and what you end up with is a reusable asset rather than a one-off conversation.
Then pick the scope. Tick 24 profiles and the same flow is dispatched to all of them in parallel, each running with its own fingerprint, its own proxy and its own already-signed-in session. Runs are reviewable afterwards: which profile failed at which step, and what the page looked like at the time, are all in the log, so a re-run only covers the one that failed.
- Plain language in, editable steps out, saved as a flow you can reuse
- Dispatch to many profiles at once, each with separate fingerprint, proxy and session
- Reviewable run logs pinpoint the failing profile and step for a targeted re-run
You
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How to connect browser-use and Playwright MCP to a fingerprint browser
The execution layer of an open-source agent framework is usually a bare browser, which is exactly where these setups fall over in real work: no session, no stable fingerprint and one shared exit for every account. The NexBrowser Local API fills that gap. One local HTTP request launches the profile you name and returns a debugging port you can attach to, so browser-use, Playwright MCP, Selenium, Puppeteer, Playwright and WebDriver all connect with next to no rewriting.
The API ships with the Windows client, costs nothing and has no call cap, including on the free plan. To the agent it is just a standard Chromium debugging port; to the platform it is an ordinary device with a complete fingerprint and a residential exit. The awkward middle layer — not being recognised — is handled by the profile, leaving the agent to deal only with business logic.
- One HTTP request launches a profile and returns a debugging port for the agent to attach to
- Works with browser-use, Playwright MCP, Selenium, Puppeteer, Playwright and WebDriver
- Free with unlimited calls, available on the free plan as well
Local APIFree & unlimited
POST http://127.0.0.1:port/browser/start
{ "envId": "Store-US-01" }
200 OK
{ "ws": "ws://127.0.0.1:9222/devtools/...",
"debugPort": 9222 }Selenium / Puppeteer / PlaywrightAttach
Call quotaUnlimited
Does an AI agent have to log in again every run? How sessions are kept
It does not. Every profile keeps its own data directory, with cookies, cache and localStorage stored encrypted on your machine, bound long-term to the same proxy and the same fingerprint parameters. The next time the agent launches that profile it picks up the previous session — which saves more than login time, because it also avoids repeatedly triggering verification codes and second factors, and keeps the behavioural history of the account coherent.
It also makes results reproducible. With the same flow, the same profile and the same exit IP, the variation between ten runs comes from the page rather than from looking like a brand-new device every time. Scaling up just means dispatching the flow to more profiles; because they are isolated at both the storage and fingerprint layers, trouble on one account never spreads to the rest.
- Cookies, cache and localStorage persist per profile, so the agent resumes the last session
- Each profile stays bound to one proxy and one fingerprint, keeping runs reproducible
- Scale by dispatching to more profiles, with no linkage between accounts
Profile 01
US · AmazonProfile 02
UK · eBayProfile 03
JP · RakutenProfile 04
DE · AmazonProfile 05
VN · TikTokProfile 06
BR · ShopeeCookie / localStoragePer profile
Fingerprint20+ generated
Exit IPOwn proxy each
Prove out an AI flow on the free plan first
1 member and 10 windows that never expire, plus a free Local API with unlimited calls.
Three steps to put AI on your batch work
No scripting background needed — three steps from description to batch results.
Step one: write the goal and the order of actions in plain language, and AI turns it into editable flow steps.
Step two: pick the profiles to run in, each with its own fingerprint, proxy and saved login state.
Step three: dispatch in one click, with scheduling, retries and variables, and a run history you can review and reproduce.
AI browser automation FAQ
Can I use this with no coding experience at all?
Yes. The core workflow is describing the task in plain language, and AI converts it into visual flow steps that you review and fine-tune. Not a single line of code is required, so your operations team can run it themselves, and when a flow needs tighter control you move it into the no-code RPA builder.
Which AI agent frameworks can I connect?
NexBrowser ships a free Local API with no call limits, compatible with Selenium, Puppeteer, Playwright and WebDriver. Open-source agent frameworks such as browser-use and Playwright MCP connect directly and use NexBrowser as their browser execution layer, working inside a real profile with its own fingerprint and proxy.
Does the agent have to log in again on every run?
No. Each profile keeps its own cookies, cache and local storage, bound to the same proxy and the same fingerprint parameters over time. The agent picks up the previous session on its next launch, so logins hold, verification prompts drop sharply and results are far easier to reproduce.
How many profiles can run at once, and what does it cost?
Parallel capacity depends on your window count and local hardware. The free tier gives you 1 member and 10 windows, non-expiring and with no feature gating, which is enough to prove out a flow. Paid plans start at 0.30 USDT per window per 30 days and 3.00 USDT per member per 30 days, with volume discounts up to 60% off.
Should I use the AI Agent or RPA?
Use the AI Agent while the work is still fluid and every run is slightly different — you describe the goal and it works out the steps. Use RPA once the flow has settled and needs to run unattended, because drag-and-drop steps are more predictable and support scheduling and retries. Many teams do both: let AI draft the flow, then save it as an RPA task.
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Keep reading about browser automation
- RPA automationNo-code flows, scheduled and run in batches
- Local APILaunch profiles over local HTTP, free and unlimited
- Multi-account managementAn isolated fingerprint profile per account
- Window syncAct once, finish in dozens of windows
- One-click residential IPGive every profile a clean exit IP
- PricingFree plan never expires; pay by windows and seats
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