Audo Copenhagen Penguin Fully Upholstered Dining Chair
£1,135
Product data
Structured Audo Copenhagen product data for search, recommendations, and AI shopping agents.
In the catalog
A live slice of the Audo Copenhagen catalog — titles, images, and prices the API returns today.
Audo Copenhagen Penguin Fully Upholstered Dining Chair
£1,135
1960s Danish Modern Dining Chairs In Beech & Leather Attributed To Ib Kofod-larsen For Selig, Denmark - Set Of 4
$7,795
Harbour Side Chair With Wood Base - Light Grey/dark Oak
$400
Co Task Chair With Armrest
$1,305
Harbour Upholstered Chair With Swivel Base
$1,445
Eave Modular Chaise Sofa - Champion Green/small: 84.7 In Width/left
$4,940
Plinth Low Coffee Table - White
$3,335
Harbour Upholstered Chair With Swivel Base
$1,445
Eave Modular Open Sofa - 202 - Savanna White/small: 101.6 In Width/right
$5,420
Harbour Upholstered Side Chair - 751 - Fiord/wood Base / Natural Oak
$978
Brasilia Lounge Chair - 0012 - Avalon Pink/dark Stained Oak/low: 26.8 In Height
$3,035
Eave Seamline 4-seater Curved Sofa - 0950 - Baru Green
$12,385
One endpoint
The same search used in the demo above. Pass brand_ids to keep results inside this catalog. 1,000 free searches a month.
curl https://api.trychannel3.com/v1/search \
-H "x-api-key: $CHANNEL3_API_KEY" \
-H "content-type: application/json" \
-d '{
"query": "Audo Copenhagen products",
"filters": {
"brand_ids": [
"IL7L"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
response = client.products.search(
query="Audo Copenhagen products",
filters={"brand_ids": ["IL7L"]},
limit=20,
)import { Channel3 } from "@channel3/sdk";
const client = new Channel3();
const response = await client.products.search({
query: "Audo Copenhagen products",
filters: {
brand_ids: ["IL7L"],
},
limit: 20,
});Broader product-data APIs for the same shopping workflows.
Other large catalogs available through the same API.
How developers pull Audo Copenhagen into agents, search, and affiliate flows.
For Audo Copenhagen
Channel3 can help Audo Copenhagen show up more accurately across AI shopping apps. No technical work. Most teams are live the same week.