is-arrayish: Detect Array-like Objects in Workflows
Automates detection of array-like objects using the is-arrayish utility, enabling robust type checking in n8n automations for data processing tasks.
The is-arrayish workflow leverages the lightweight 'is-arrayish' JavaScript library to determine if any given object behaves like an array. This is crucial for handling diverse data inputs in automation pipelines where standard Array.isArray() falls short, such as with arguments objects, NodeLists, or custom iterables. By integrating this check, workflows can gracefully manage 'duck-typed' arrays, preventing errors in downstream nodes.
Benefits include enhanced reliability in data manipulation, reduced debugging time, and seamless compatibility with various JavaScript environments within n8n. It's MIT-licensed, lightweight (version 0.2.1), and supports testing via Mocha, ensuring production-ready stability. This utility saves hours of custom coding for type validation, making it ideal for scalable automations.
Use cases span API data parsing, where responses might use array-ish structures; form data processing in webhooks; or ETL pipelines integrating with Node.js modules. In e-commerce or CRM workflows, it validates shopping carts or contact lists before CRM updates. Developers can trigger it via HTTP requests or schedules, outputting booleans for conditional branching.
For n8n users, embed this in Function nodes or custom scripts to supercharge built-in apps, especially mobile app integrations handling dynamic lists. Its repository at https://github.com/qix-/node-is-arrayish.git provides full source for extensions.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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