n8n vs Zapier for Agencies: When Self-Hosted Wins
Zapier is the default for a reason. It's the fastest way to wire two tools together and feels like magic the first time it works. But at agency scale — multiple clients, AI in the loop, long-running flows — the per-task pricing and platform constraints start to bite. n8n is the most common landing spot for agencies that have outgrown it.
Cost per task
Zapier and Make price per task. A workflow that fires 50,000 times a month is fine on the free tier and painful on a paid plan. n8n, self-hosted, has a fixed infrastructure cost — typically $30–80/month for an agency on a small VPS — regardless of task volume. The crossover for most agencies sits around 10–20k tasks/month.
AI integration
n8n's AI nodes are first-class. You can drop GPT-class agents inside workflows for classification, drafting, summarization, and tool-using behaviors without a separate platform. Zapier has AI steps too, but per-call pricing makes serious AI workloads economically awkward.
Data ownership
With Zapier, every payload passes through their infrastructure. For regulated clients — finance, healthcare, legal — that's a contractual problem. Self-hosted n8n keeps client data inside your VPC. For agencies handling sensitive workflows, this often matters more than cost.
When Zapier still wins
- Solo operator with a handful of low-volume automations.
- No internal devops capacity and no budget for managed hosting.
- Workflows that genuinely live in Zapier-only integrations.
Signals it's time to switch
- Monthly Zapier bill above $200 with growing task volume.
- AI calls becoming a regular part of your automations.
- Client contracts requiring data residency or VPC deployment.
- Wanting branching logic, loops, or long-running workflows that Zapier handles awkwardly.
How a migration usually goes
We typically stand up managed n8n in week 1, migrate the top 5 workflows in weeks 2–3, and run both systems in parallel for a sprint before cutting over. Most agencies retire Zapier within a quarter and reinvest the savings into building new AI-powered flows that weren't economical before.