List Products

retail_search.list_products
ActionGoogle Cloudconnection required

Calls AI Commerce Search GET /v2/projects/{projectsId}/locations/{locationsId}/catalogs/{catalogsId}/branches/{branchesId}/products.

Gets a list of Products.

Connection

Required
Yes — the node will not save without one
Auth type
OAuth 2.0
Providers
Google AI Commerce Search
Secret shape
{"client_id", "client_secret", "refresh_token"}
Config it needs
location, project_id
Resolved by
config.connection_id, else node.connection_id

Configuration

7 fields, 2 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
project_id
GCP project id (overrides connection).
stringNo———
location
Location / region (overrides connection).
stringNo———
catalog
Id of the catalog to act on, from retail_search.list_catalogs — not its name.
stringYes———
branch
Id of the branch to act on, from its Retail Search URL or console — not its name.
stringYes———
filter
A filter to apply on the list results.
stringNo———
page_size
Maximum number of Products to return. If unspecified, defaults to 100. The maximum allowed value is 1000. Valu
numberNo50≥ 1—
page_token
A page token ListProductsResponse.next_page_token, received from a previous ProductService.ListProducts call.
stringNo———

Example configuration

Every value below is the contract’s own example or default — nothing invented.

{
  "page_size": 50
}

Output

One shape.

result

FieldTypeExample
ok
boolean—
nextPageToken
string—
products
array—
{
  "nextPageToken": "",
  "ok": false,
  "products": []
}

See List Products run in a workflow.

In a technical demo we add the Google AI Commerce Search connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.