Retrieve and Structure Multi-Level Airtable Records in JSON
This n8n workflow efficiently fetches Airtable records and their related child records up to three levels deep, organizing them into a structured JSON format. It optimizes API calls and allows for flexible configuration of data retrieval.
The workflow starts by retrieving a specified Airtable record and its schema. It then filters and splits out fields to identify linked records, fetching up to three levels of related records. The workflow uses Airtable's API to minimize calls by leveraging `filterByFormula`. It also converts Airtable's rich text fields to HTML if specified, using the `marked` npm package. The final output is a comprehensive JSON object that maintains the hierarchical structure of the data, making it ideal for ap
- Platform
- n8n
- Category
- Data & Analytics
- Price
- $24.99
- Creator
- Indira Kapoor
- if
- set
- code
- merge
- filter
- airtable
- splitOut
- aggregate
- stickyNote
- httpRequest
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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