Is using an Antidetect Browser the only reliable option for scalable multi-account workflows?

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1

Hey everyone,

I’ve been automating large-scale workflows for managing multiple accounts across platforms like Facebook, Amazon, and TikTok — mostly using n8n.

Lately, I’ve found that API-based methods often run into rate limits, session expiration, or platform restrictions. I’ve experimented with using antidetect browsers + n8n to simulate real user behavior instead.

So far, it’s been effective: I can manage cookies, rotate IPs, run DOM-based scripts, and still orchestrate everything in n8n.

Curious to know:

  • Has anyone else here combined n8n with browser emulation or fingerprint isolation tools?
  • Do you think browser-based automation is becoming the only reliable method for high-volume tasks across strict platforms?

Would love to hear your experience — especially if you’ve scaled beyond 20–50 accounts.

2

I’ve been running a similar setup using n8n + Hidemium — and it’s been surprisingly effective for scaling across 50+ accounts.

Hidemium lets me isolate each browser profile (fingerprint, cookies, proxy, even user-agent), and it integrates well with prompt-based scripting for automating actions like login, scroll, or data scraping — no API needed. I trigger everything via n8n webhooks and push the results to Google Sheets/Notion.

What I like most is the ability to simulate natural behavior (scroll delays, mobile UA, etc.), which really helps avoid checkpoints.

For anyone hitting limits with APIs, I’d definitely recommend testing this kind of hybrid approach.