Fetch hierarchical data records from Airtable with multi-level relationships
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2500 executions/month
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Airtable Hierarchical Record Fetcher
Description
This n8n workflow retrieves an Airtable record along with its related child records in a hierarchical structure. It can fetch up to 3 levels of linked records and assembles them into a comprehensive JSON object, making it ideal for complex data relationships and nested record structures.
Features
- Multi-level Record Fetching: Retrieves parent record, linked child records (level 2), and optionally grandchild records (level 3)
- API Call Optimization: Uses Airtable's
filterByFormulato minimize API calls by fetching multiple related records in single requests - Selective Level 3 Fetching: Only fetches level 3 records for specified linked fields to optimize performance
- Rich Text Processing: Converts Airtable's pseudo-markdown rich text fields to HTML format
- Hierarchical JSON Output: Organizes all data in a structured, nested JSON format
- Flexible Configuration: Customizable depth and field selection per execution
Input Parameters
The workflow accepts a JSON array with the following structure:
[
{
"base_id": "appN8nPMGoLNuzUbY",
"table_id": "tblLVOwpYIe0fGQ52",
"record_id": "reczMh1Pp5l94HdYf",
"level_3": [
"fldRaFra1rLta66cD",
"fld3FxCaYk8AVaEHt"
],
"to_html": true
}
]
Parameter Details
| Parameter | Type | Required | Description |
|---|---|---|---|
base_id |
string | Yes | Airtable base identifier |
table_id |
string | Yes | Airtable table identifier for the main record |
record_id |
string | Yes | Airtable record identifier to fetch |
level_3 |
array | No | Array of field IDs from level 2 records for which to fetch level 3 children |
to_html |
boolean | No | Convert rich text fields from pseudo-markdown to HTML (default: false). This requires marked npm package. |
Output Structure
The workflow returns a hierarchical JSON object with the following structure:
{
"id": "recXXXXXXX",
"field_1": ...,
"field_2": ...,
"level2_child": [
{
"id": "recXXXXXXX",
"field_a": ...,
"field_b": ...,
"level3_child": [
{
"id": "recXXXXXXX",
"field_y": ...,
"field_z": ...,
},
...
]
},
...
]
}