List Recommendations
recommender.list_recommendations
ActionGoogle Cloudconnection required
Calls Recommender GET /v1/projects/{projectsId}/locations/{locationsId}/recommenders/{recommendersId}/recommendations.
Lists recommendations for the specified Cloud Resource. Requires the recommender.*.list IAM permission for the specified recommender.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- OAuth 2.0
- Providers
- Google Recommender
- Secret shape
- {"client_id", "client_secret", "refresh_token"}
- Config it needs
- location, project_id
- Resolved by
- config.connection_id, else node.connection_id
Configuration
6 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 |
|---|---|---|---|---|---|
project_id GCP project id (overrides connection). | string | No | — | — | — |
location Location / region (overrides connection). | string | No | — | — | — |
recommender Recommender id. | string | Yes | — | — | — |
filter Filter expression to restrict the recommendations returned. Supported filter fields: * `state_info.state` * `r | string | No | — | — | — |
page_size Optional. The maximum number of results to return from this request. Non-positive values are ignored. If not s | number | No | 50 | ≥ 1 | — |
page_token Optional. If present, retrieves the next batch of results from the preceding call to this method. `page_token` | string | No | — | — | — |
Example configuration
Every value below is the contract’s own example or default — nothing invented.
{
"page_size": 50
}Output
One shape.
result
| Field | Type | Example |
|---|---|---|
ok | boolean | — |
nextPageToken | string | — |
recommendations | array | — |
{
"nextPageToken": "",
"ok": false,
"recommendations": []
}Related Google Recommender nodes
See List Recommendations run in a workflow.
In a technical demo we add the Google Recommender connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.