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BrowserAct + AI Browser Automation Runtime

Multi-Account Social Ops,Run by AI Agents.

Run logged-in workflows in parallel with isolated browsers, stable proxies, and persistent login state.

Works with the agent you already use
Claude Code Cursor Codex VS Code Windsurf GitHub Copilot Replit Custom Agents
Agent console / multi-account run
Check three logged-in social accounts, read replies, DMs, warnings, and prepare reviewable drafts every day.
NEEDI can scrape public pages, but I need browser access and login state.
RUNBrowserAct connected: isolated browsers and sessions ready.
RUNChecking persistent login state per account...
OUTPreparing reviewable drafts and account alerts...
OKRemote assist available when verification appears.
social-account-a
US static residentialRunning
SessionChecking DMs
social-account-b
UK static residentialRunning
SessionReading notifications
social-account-c
AU static residentialAssist
SessionWarning check
Answer first

What BrowserAct Adds to a Social Media AI Agent.

BrowserAct gives AI agents the browser layer they need to run logged-in, multi-account social workflows with isolated identities, stable proxies, human handoff, and reviewable outputs.

What it is

A browser runtime for social AI agents.

Use BrowserAct to let agents operate real browser sessions instead of scraping public pages only.

Who it is for

Teams running account-heavy social workflows.

Handle inbox checks, moderation, warmup routines, monitoring, and draft generation across multiple accounts.

What it solves

Login state, isolation, proxies, and handoff.

Keep one browser identity per account, preserve login state, stabilize network context, and pause for human assist when needed.

How it works

Run in parallel and return reviewable output.

Agents open real sessions, read live page state, continue through protected flows, and return drafts before sensitive actions.

Agent bottleneck

Your Agent Can Read the Web. But Can It Operate Real Accounts?

Most agents are useful for public-page scraping. Real social media multi-account automation happens inside logged-in, protected, stateful browser environments where login state, account isolation, verification, and parallel execution matter.

01
CK

Agents lose cookies, profiles, and login state.

Fetching a page is not enough. Logged-in workflows need persistent browser storage, account-specific cookies, and a browser identity that survives repeated runs.

02
ID

Agents cannot safely isolate multiple social accounts.

Multiple accounts need separate browser identities, proxy context, fingerprints, storage, and login state. A shared environment creates association risk.

03
2F

Agents stop when verification appears.

CAPTCHA, QR login, SMS, SSO, blocked pages, and sensitive confirmations require a live browser that can pause and hand off to a human.

04
OP

Agents can scrape pages, but cannot reliably operate workflows.

The bottleneck is not agent intelligence. It is browser execution: login state, dynamic UI control, protected pages, and account-safe continuity.

BrowserAct Runtime

BrowserAct Turns Agents into Real Browser Operators.

BrowserAct gives AI agents the missing execution layer for social media multi-account operations: isolated browser identities, static residential proxy context, persistent login state, real browser control, parallel sessions, and human handoff.

Separate browser identity per accountISOLATED
Profileseparate
Static residential proxybound
Cookies and login statepreserved
Fingerprint contextdedicated
Stable network context per account identityPROXY
Account AUS static residential
Account BUK static residential
Account CAU static residential
Long-running loginstable context
Agent controls real browser sessionsCONTROL
Open logged-in pageread UI
Click and typecontinue
Dynamic page stateinspect first
Sessions run work without mixing identityPARALLEL
session-redditreading inbox
session-xpreparing post
session-linkedinchecking state
Verification stays inside the workflowHANDOFF
CAPTCHA or SSO detectedpause
Supported handling pathtry
Remote assist linkready
Agent returns reviewable results before sensitive actionsREVIEW
OUTreply drafts
OUTaccount alerts
NEXTrecommended steps
Anti-association browser layer

Give every account its own browser identity.

Multi-account operations do not start with automation. They start with account isolation. BrowserAct keeps account state, fingerprint context, cookies, storage, login history, and network environment separated.

Account identity stack
01Dedicated browser profile
02Fingerprint context
03Static residential proxy
04Cookies and browser storage
05Persistent login state
06Independent agent execution
https://www.reddit.com/user/social-account-a
DMReplyWarn
ProxyUS Cookiesisolated Loginactive
https://www.reddit.com/user/social-account-b
InboxRulesDraft
ProxyUK Storageisolated Loginactive
https://www.reddit.com/user/social-account-c
AlertCheckAssist
ProxyAU Profileseparate Loginreview
Agent alone vs Agent + BrowserAct

Agents Alone Read Pages.
With BrowserAct, They Run Logged-In Account Workflows.

BrowserAct does not replace your agent. It gives your agent the browser automation runtime required for real multi-account social operations.

Capability
Agent Alone
Agent + BrowserAct
Public page scraping
Yes
Yes
Logged-in social account operation
Limited
Runs inside persistent browser identity
Cookies and login state
Hard to preserve
Preserved per account
Social media multi-account isolation
Not built in
One browser identity per account
Static residential proxy context
External setup
Bound to each account identity
Dynamic UI operation
Fragile
Real browser control
Verification handling
Usually blocked
Supported paths + human handoff
Parallel account workflows
Risky
Multiple isolated sessions
Reviewable social output
Manual
Drafts, summaries, alerts, next steps
Reliability layer

Multi-Layer Browser Reliability for Agent Workflows.

Social media multi-account automation often fails before the workflow starts - not because the agent cannot reason, but because the browser environment is exposed. BrowserAct is designed to reduce common automation fingerprints and preserve workflow continuity in protected browser environments.

Detection and verification

Multi-Layer Reliability for Protected Browser Automation.

BrowserAct combines stealth browser environments, proxy context, profile isolation, cookies, sessions, verification handling paths, and human handoff to help agents work inside dynamic, login-required, and protected browser environments.

01

BrowserAct Detection Test Results

BrowserAct shows stronger results than stock browser automation across real detection surfaces.

Detection service Stock Playwright BrowserAct
reCAPTCHA v3 0.1 bot score 0.9 human score
BrowserScan bot detection DETECTED PASS
bot.incolumitas.com 13 fails + 1 warn PASS
deviceandbrowserinfo.com DETECTED PASS
Rebrowser Bot Detector DETECTED PASS
bot.sannysoft.com DETECTED PASS
02

Browser Fingerprint Capability Signals

Fingerprint capability signals include WebDriver, CDP detection, Playwright globals, WebGL / GPU, TLS fingerprint, plugins, Chrome object, and real Chrome baseline.

Fingerprint signal BrowserAct result
WebDriver Not detected
Plugins length 5
Chrome object PASS
User agent Chrome/144
CDP detection Not detected
Playwright globals PASS
Runtime.enable leak PASS
Source URL leak PASS
WebGL / GPU PASS
TLS fingerprint PASS
03

Verification Handling Paths

When supported workflows and environments allow it, BrowserAct can follow configured verification handling paths or hand off the live browser to a human without losing browser state.

Verification path BrowserAct status
reCAPTCHA v2 Supported
reCAPTCHA v3 Supported
reCAPTCHA Enterprise Supported
Cloudflare Turnstile Supported
Cloudflare Challenge Supported
DataDome Supported
HUMAN Security / PerimeterX long-press verification Supported
04

Human Handoff Without Losing Browser State

Some login, verification, SSO, QR code, SMS, or sensitive confirmation steps need a real person.

BrowserAct keeps these moments inside the workflow. The agent pauses, hands off the live browser to the user, and resumes from the same browser state after the user completes the step.

No restart. No lost session. No broken workflow.

No automation system can guarantee access to every website or every verification flow. BrowserAct is designed to reduce common automation fingerprints, preserve workflow continuity, and keep human control when needed.

How it works

How BrowserAct Turns an Agent into a Browser Operator.

Install BrowserAct, create isolated browser identities, and run social account workflows in real sessions with live page state, remote assist, and reviewable output.

Install prompt
Help me install the browser-act skill: https://github.com/browser-act/skills/tree/main/browser-act
Installing browser-act...
Checking skill files...
browser-act skill is installed.
browser-act is ready.
Proxy and browser setup
Create one isolated browser identity for each social account and prepare static residential proxy context.
Now let me check existing proxies before presenting the plan.
browser-act proxy buy-request --count 3
https://www.browseract.com/session/static-proxy-purchase/17075ccb-37e2-4a8d
Done.
Browser IDNameProxyStatus
br-8f31social-account-aUS staticBound
br-42c9social-account-bUK staticBound
br-77aasocial-account-cAU staticBound
Parallel account check
Run the daily social account workflow. Check login state, read live page state, and return reviewable output before any sensitive action.
Opening isolated browser identities and reading live page state.
A
DMs3 drafts
B
Alerts1 draft
C
Warningsclear
Memorable line: Not one browser with many tabs. One browser identity per social account.
Beyond social

Browser Automation for Account-Heavy Workflows.

The same BrowserAct runtime model applies whenever your agent needs logged-in browser state, isolated identities, verification handoff, or repeated browser automation.

Social media multi-account operations

Run checks, warmups, inbox triage, notifications, warnings, and reviewable drafts across multiple social accounts.

same-platform accountsreviewable output

E-commerce multi-store ops

Open each seller console in its own browser identity, check orders, inventory alerts, campaign status, and daily reports.

seller consolesdaily checks

Affiliate and partner portals

Check partner dashboards, campaign links, approval states, payout pages, and repeated account workflows.

partner portalsstatus tracking

Admin panels and verification-heavy workflows

Let the agent handle logged-in browser steps, then hand off the live session when a human must complete login, SSO, QR code, SMS, or verification.

remote assiststate preserved
Questions

FAQ

Is BrowserAct an AI agent?

No. BrowserAct is the browser automation runtime layer that lets AI agents operate real browser sessions with persistent identity, protected-page handling, and human handoff.

Why can my agent scrape pages but not operate accounts?

Public-page scraping does not preserve account identity, cookies, browser storage, proxy context, login state, or verification continuity. BrowserAct gives the agent those browser execution capabilities.

Can BrowserAct manage multiple social accounts safely?

BrowserAct gives each account its own isolated browser identity, cookies, storage, proxy context, fingerprint context, and login state so account environments stay separated.

What happens when login, CAPTCHA, SSO, or verification appears?

BrowserAct can use supported handling paths when available. When human action is required, the agent pauses and hands off the live browser through remote assist. After the user completes the step, the agent can continue from the same browser state.

Can the agent publish, submit, or reply automatically?

Workflows can be configured for different levels of automation. For sensitive actions, we recommend returning drafts, summaries, and pending actions for human review before publishing, submitting, or confirming.

Is this only for social media?

No. Social media is the clearest use case, but the same runtime applies to e-commerce dashboards, affiliate portals, lead generation platforms, admin panels, logged-in data extraction, regional testing, and repeated browser tasks with human checkpoints.

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Multi-Account Social Ops Run by AI Agents | BrowserAct