List Records
adalo.list_records
ActionBusiness appsconnection required
Calls the Adalo API with the connection's credentials.
Read a page of records from a collection, optionally filtered.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- Bearer token
- Providers
- Adalo
- Secret shape
- the app API key, or {"api_key": "…"}
- Config it needs
- app_id, test_collection_id, base_url
- Resolved by
- config.connection_id, else node.connection_id
Configuration
5 fields, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
collection_id The Adalo collection to work in; find it under the collection's API Documentation. | string | Yes | — | — | t_0nu9wnkyqjzip4wrfvz7bdefz |
limit How many records to return; Adalo caps a page at 100. | number | No | — | 1–100 | — |
offset How many records to skip before the page starts. | number | No | — | ≥ 0 | — |
filter_key Return only records whose property of this name matches filter_value. Adalo filters single-value properties only (Number, Text, Boolean, Date). | string | No | — | — | |
filter_value The value that property must equal; only used when filter_key is set. | string | Conditional | — | only with filter_key | ada@example.com |
Example configuration
Every value below is the contract’s own example or default — nothing invented.
{
"collection_id": "t_0nu9wnkyqjzip4wrfvz7bdefz",
"filter_key": "Email",
"filter_value": "ada@example.com"
}Output
One shape.
result
| Field | Type | Example |
|---|---|---|
records The records on this page, as Adalo returned them. | array | — |
count How many records this page carried. | number | — |
offset The offset Adalo reported for this page. | any | — |
collection_id The collection the records came from. | string | — |
{
"collection_id": "",
"count": 0,
"offset": null,
"records": []
}Related Adalo nodes
See List Records run in a workflow.
In a technical demo we add the Adalo connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.