Product data

Furn

Structured Furn product data for search, recommendations, and AI shopping agents.

What Furn can I help you find?

In the catalog

Sample Furn products

A live slice of the Furn catalog — titles, images, and prices the API returns today.

Furn Teal Blush Meridian Velvet 45 X 45cm Cushion

Furn Teal Blush Meridian Velvet 45 X 45cm Cushion

£15

Furn Natural Beige Kallu Faux Fur Cushion (45x45cm)

Furn Natural Beige Kallu Faux Fur Cushion (45x45cm)

£18

Furn Forest Green Christmas Pines Faux Fur Throw

Furn Forest Green Christmas Pines Faux Fur Throw

£48

Furn Natural Dakota 100% Cotton Tufted Feather Filled Cushion

Furn Natural Dakota 100% Cotton Tufted Feather Filled Cushion

$48

Furn Ochre Yellow Dhadit Woven Striped Throw

Furn Ochre Yellow Dhadit Woven Striped Throw

£32

Burnout Jersey Top

Burnout Jersey Top

$32

Pintuck Black Blouse

Pintuck Black Blouse

$33

Furn Dove Cylon Meridian Velvet 45 X 45cm Cushion

Furn Dove Cylon Meridian Velvet 45 X 45cm Cushion

£15

Lilac Furn Cypressa Floral Mosaic 100% Cotton Cushion

Lilac Furn Cypressa Floral Mosaic 100% Cotton Cushion

£12

Furn. Let's Grow Square Cushion

Furn. Let's Grow Square Cushion

£10

Furn Pritta Cotton Rectangle Cushion

Furn Pritta Cotton Rectangle Cushion

£10

Robi Square Cushion

Robi Square Cushion

£16

One endpoint

Filter Furn with a brand ID

The same search used in the demo above. Pass brand_ids to keep results inside this catalog. 1,000 free searches a month.

  • Normalized titles, images, and stable brand IDs
  • Live prices, availability, and merchant URLs
  • Commission-ready offers when a rate is available
curl https://api.trychannel3.com/v1/search \
  -H "x-api-key: $CHANNEL3_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "query": "Furn products",
  "filters": {
    "brand_ids": [
      "g1Mv"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="Furn products",
    filters={"brand_ids": ["g1Mv"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "Furn products",
  filters: {
    brand_ids: ["g1Mv"],
  },
  limit: 20,
});

FAQs

How developers pull Furn into agents, search, and commission-earning flows.

For Furn

Do you work at Furn?

Channel3 is the product graph AI shopping apps plug into. Join it once and Furn's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.

Join the graph

Build with this catalog

1,000 free searches every month. No credit card required.