Using Antidetect Profiles + n8n + AI to Manage Multi-Account Workflows at Scale

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Hi everyone,

I wanted to share a setup I’ve been testing that combines n8n, antidetect browser profiles, and prompt-based automation agents to orchestrate multi-account tasks. This is especially helpful if you manage workflows involving different user identities across platforms (think: account creation, login flows, form submissions, etc).

The Problem

Handling workflows for 10+ user accounts manually is tedious, error-prone, and often flagged due to fingerprint duplication. Using the same IP, browser, or cookie context leads to bans or shadowbans.

The Stack

Here’s the system I’m currently using:

  • n8n: As the central orchestrator for all logic, retries, triggers, data collection, and scheduling.
  • Hidemium (Antidetect Browser): Each account is isolated in its own browser profile, complete with separate fingerprint, IP, and device emulation.
  • Prompt-Based Scripting: I use AI agents that respond to prompts like “Log in to Gmail and check unread messages,” and the agent handles UI navigation inside the Hidemium browser context.
  • API/Webhook Layer: Hidemium exposes local APIs for interacting with browser tabs, which I call from n8n nodes or via a custom webhook setup.

Sample Workflow

  1. Trigger: n8n is triggered by webhook or schedule.
  2. Data Input: Pull list of accounts + tasks from Google Sheets or Airtable.
  3. Open Profile: For each task, n8n sends a command to open the corresponding Hidemium profile.
  4. Run Task: A local AI script executes the web interaction (e.g., login, scrape, post, click).
  5. Close & Log: Task result is logged back into the database; browser is closed.

Challenges

  • Latency: Prompt-based automation is slower than traditional scripting but more resilient to DOM changes.
  • Captcha Handling: Still requires fallback or integration with third-party services.
  • Error Recovery: I’ve added checkpoints in n8n to detect and reassign failed profiles.

Why It Works

Using separate fingerprinted browsers reduces flagging. n8n handles orchestration and logic branching beautifully, and AI prompt scripting lowers the bar for writing brittle scripts manually. Combined, this setup allows me to automate operations over 50+ browser identities reliably.

Anyone else experimenting with multi-identity workflows or combining AI + n8n orchestration?

I’d love to hear how others are integrating with headless or profile-isolated browsers.