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n8n Error Trigger nodeConfigure Error Trigger in n8n.

The n8n Error Trigger node opens the workflow that runs when another workflow fails. It carries no parameters and nothing to authenticate, so the whole setup is the workflow you build behind it: one error workflow, reused by every automation on your instance, that tells the right people what broke.

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What does the n8n Error Trigger node actually do?

The Error Trigger node does one thing: it opens an error workflow, the second workflow n8n starts when an execution fails. You drop it as the first node on a blank canvas, build the reaction you want after it, and any workflow on the same n8n instance can point at that error workflow. The node itself exposes no settings, so there is nothing to fill in and nothing to misconfigure in its panel.

The most common build is the alert. Behind the Error Trigger, a message lands in the channel where the team already works, through Slack for an ops room or Gmail when the person who needs to know reads email and nothing else. A failed run stops being something you discover three days later in the executions list.

The second build is the log. Instead of a notification you keep a trace, one row per failure in Google Sheets for a small setup, or a table in Postgres once the volume grows. After a few weeks the trace answers a question a single alert never does: which automation breaks often, and which one broke once.

The third build hands the failure to a system that already tracks work. A call through HTTP Request reaches any HTTP endpoint, so an incident tool or an internal API gets the failure without anyone copying it by hand. Keep that node for HTTP APIs: it is the fallback when a dedicated node misses an operation, not a way to speak a protocol that is not HTTP.

When is an error workflow the wrong answer? When the failure is one you can predict and handle inside the workflow that produces it, right where the data still is. The Error Trigger is for what you did not plan for. One more thing decides whether it works at all: the workflow it opens has to be active to listen in production. In the editor a test execution only starts a one off listen, which is enough to check your build and not enough to cover you at night.

The limits are worth knowing before you invest in it. The node has no options, no filter, no version to pick beyond version 1, so every failure that points at this workflow goes through the same path, and any sorting happens in the nodes you place after it. The error workflow can be any workflow on your instance, which means one shared build usually beats one per automation. If you want the wider picture of how triggers, activation and executions fit together, the n8n training covers it end to end.

Parameters

Error Trigger

The Error Trigger node has 0 parameters. For each one: the node as you configure it in n8n, what the parameter changes, and our field notes.

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FAQ

Questions people ask about the Error Trigger

01Is the n8n Error Trigger node included for free?
Yes. The Error Trigger is a core node, shipped with n8n itself. There is nothing to install, no extra cost on the n8n side, and it behaves the same on n8n Cloud, the hosted offer run by n8n, and on an instance you host yourself with Docker or npm under the Community Edition and its Sustainable Use license. A workflow built with it is identical in both places, so a setup you test on Cloud moves to your own server without a rewrite. The node is at version 1, and a node never changes version on its own, so what you build today keeps the behavior you tested.
02What do you need to configure to make it work?
Nothing, and that is the point. This node has no credential and no Authentication selector, so there is no account to connect and no key to rotate. It also exposes no parameters at all: open its panel and there is no field waiting for you. Everything you would normally spend time on moves to the nodes you place after it, where the real decision sits. One condition remains, and it is not a setting: the workflow has to be active for the trigger to listen in production. In the editor, a test execution starts a single listen so you can check your build before you turn it on.
03What are the limits of the Error Trigger node?
It has no options to shape what it catches. With zero parameters there is no filter, no severity level and no routing choice in the node, so everything that reaches this error workflow arrives through the same door and any sorting has to happen downstream, in an If or in the nodes you add after it. It is also a trigger and nothing else: it opens the workflow, it does not retry the failed run for you. The page describes version 1, the maximum version in the catalog. An older workflow may show an earlier version with fewer options, and nothing upgrades by itself.
04When should you use an error workflow instead of handling the failure inline?
Use the inline route for failures you can name. If an API returns nothing for a known reason, you deal with it in the workflow that made the call, where the item and its data are still in hand. Use the Error Trigger for everything else: the case nobody planned, on any of the automations running on the instance. The error workflow can be any arbitrary workflow on your n8n instance, so one good build serves all of them and you maintain a single alert path instead of copying the same three nodes into every canvas. Most teams end up with one shared error workflow and inline handling only where a specific failure is expected.
05n8n or Make for error handling?
It depends on where your data has to live and how you want to pay. Make, formerly Integromat, is a hosted automation platform with no self hosting option, billed per operation, with its own visual logic. n8n runs on n8n Cloud or on your own server, which matters when the payload of a failed run contains something you would rather keep inside your network. The cost model differs too: per operation on one side, per instance or per plan on the other, which changes the arithmetic once error handling fires often. Both draw workflows visually, so the choice is about hosting, data control and cost rather than about which canvas looks nicer.
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