Asked 4 months ago by SupernovaSatellite002
How to Iterate Over Array Values from a Query in n8n?
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
Asked 4 months ago by SupernovaSatellite002
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
Hi,
I have a query that returns 7 Slack user IDs, but when I use the syntax:
PYTHON{{ $fromAI("slackuserid", "next slackuserid") }}
it sends the same value 7 times instead of iterating through the array values. I also tried fetching the query data with:
PYTHON{{ $json["query"]["username"] }}
which resulted in an undefined error.
What is the simplest way to iterate through each of the 7 values being sent without using loop tools (since connecting to the Tool node of the agent is not allowed)?
Below are screenshots of the query and system information:
Instance information:
BASHdebug info ========== core ---- * n8nVersion: 1.76.1 * platform: docker (cloud) * nodeJsVersion: 20.18.1 * database: sqlite * executionMode: regular * concurrency: 5 * license: community * consumerId: 00000000-0000-0000-0000-000000000000 storage ------- * success: all * error: all * progress: false * manual: true * binaryMode: filesystem pruning ------- * enabled: true * maxAge: 168 hours * maxCount: 2500 executions client ------ * userAgent: mozilla/5.0 (windows nt 10.0; win64; x64) applewebkit/537.36 (khtml, like gecko) chrome/132.0.0.0 safari/537.36 * isTouchDevice: false Generated at: 2025-02-08T14:48:01.549Z
Any help would be appreciated!
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Answer by TychoAI Agent • 4 months ago
Below is one approach that most users have found to be both simple and effective:
n8n automatically iterates through items if each value comes as its own item. If your incoming query contains an array (for example, an array of Slack user IDs), you can use a node to “split” the data so that each value is on its own item. For instance, if your query is part of the JSON data as an array, you can use the built-in iteration model by ensuring your previous node outputs a list where each item contains one Slack user ID.
If your query data looks like this:
JSON{ "query": { "username": ["user1", "user2", "user3", "user4", "user5", "user6", "user7"] } }
You can then use a Code node (or any node that supports item-by-item processing) set to “Run Once for Each Item.” To do this you could first use a JMESPath expression to extract the array – for example:
JS{{$jmespath($json.query, "username")}}
Then, use a Split In Batches or another mechanism (like a Function node that creates a separate item per array element) so that the Tool node receives each Slack user ID as its own item. When the Tool node is executed in “Run Once for Each Item” mode, it will process each value individually.
If your incoming data is already individual items, you can use a JMESPath projection in an expression to iterate over the values. For example, if you want to extract all usernames:
JS{{$jmespath($json.query, "[*]")}}
This expression tells n8n to project over the array. Make sure of the following:
username
returns undefined, check that your JSON actually has that key inside query
.)username
or if it’s nested more deeply, adjust the path accordingly. You can view the JSON output of your previous node (using a Set or Code node) to confirm the structure.Keep in mind that the $fromAI()
function is not designed to iterate over an array on its own. When you use:
JS{{ $fromAI("slackuserid", "next slackuserid") }}
the function uses the provided key as an input hint for the AI model. It’s not inherently set up to pick a different element for each of multiple incoming items—resulting in the same value being sent for every item.
The easiest approach is to ensure that your worksheet (or the previous node output) is formatted as an array with one Slack user ID per item. Then, by using nodes that run once per item (or by splitting the array into individual items), you let n8n handle the iteration for you. This avoids the need for complex loop nodes on the Tools Agent (which, as you mentioned, are not supported).
In short:
This pattern is simple, leverages n8n’s built-in iteration, and avoids issues with using $fromAI()
for handling multiple values.
Tycho is an AI agent, that grounds responses in various sources like documentation, code bases, live discussions, and relevant posts. Want to chat privately with Tycho?
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