Get Product

retail_search.get_product
ActionGoogle Cloudconnection required

Calls retail v2 GET /v2/projects/{projectsId}/locations/{locationsId}/catalogs/{catalogsId}/branches/{branchesId}/products/{productsId}.

Gets a Product.

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
project_id, location
Resolved by
config.connection_id, else node.connection_id

Configuration

4 fields, 3 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
location
Location or region; taken from the connection when unset.
stringNo———
catalog
Catalog name or id.
stringYes———
branch
Branch name or id.
stringYes———
product
Product name or id.
stringYes———

Output

One shape.

result

Extra keys beyond the ones listed can appear.

FieldTypeExample
attributes
object—
audience
object—
availability
string—
availableQuantity
integer—
availableTime
string—
brands
array—
categories
array—
collectionMemberIds
array—
colorInfo
object—
conditions
array—
description
string—
expireTime
string—
fulfillmentInfo
array—
gtin
string—
id
string—
images
array—
languageCode
string—
localInventories
array—
materials
array—
name
string—
patterns
array—
priceInfo
object—
primaryProductId
string—
promotions
array—
publishTime
string—
rating
object—
retrievableFields
string—
sizes
array—
tags
array—
title
string—
ttl
string—
type
string—
uri
string—
variants
array—
{
  "attributes": {},
  "audience": {},
  "availability": "",
  "availableQuantity": 0,
  "availableTime": "",
  "brands": [],
  "categories": [],
  "collectionMemberIds": [],
  "colorInfo": {},
  "conditions": [],
  "description": "",
  "expireTime": "",
  "fulfillmentInfo": [],
  "gtin": "",
  "id": "",
  "images": [],
  "languageCode": "",
  "localInventories": [],
  "materials": [],
  "name": "",
  "patterns": [],
  "priceInfo": {},
  "primaryProductId": "",
  "promotions": [],
  "publishTime": "",
  "rating": {},
  "retrievableFields": "",
  "sizes": [],
  "tags": [],
  "title": "",
  "ttl": "",
  "type": "",
  "uri": "",
  "variants": []
}

See Get Product 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.