Product data

Cappellini

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

What Cappellini can I help you find?

In the catalog

Sample Cappellini products

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

Drop Bookcase - White/large: 68.25 In Height
Cappellini

Drop Bookcase - White/large: 68.25 In Height

$3,708

Giulio Cappellini Design Meorabilia Puntino Demitasse Espresso Cups Saucers Set
Cappellini

Giulio Cappellini Design Meorabilia Puntino Demitasse Espresso Cups Saucers Set

$49

Morrison Upholstered Stool - Hallingdal 2 687/low: 17.75 In Height
Cappellini

Morrison Upholstered Stool - Hallingdal 2 687/low: 17.75 In Height

$1,155

Aliante Bookcase - Small: 71 In Width
Cappellini

Aliante Bookcase - Small: 71 In Width

$4,905

Drop Bookcase - Black/medium: 55.5 In Height
Cappellini

Drop Bookcase - Black/medium: 55.5 In Height

$3,264

Arya Table Lamp - Smokey Gray/small: 8.5 In Height
Cappellini

Arya Table Lamp - Smokey Gray/small: 8.5 In Height

$565

Meltdown Multi Light Pendant Light - 4 Lights
Cappellini

Meltdown Multi Light Pendant Light - 4 Lights

$3,535

One endpoint

Find all Cappellini products, in one API call

  • 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": "Cappellini products",
  "filters": {
    "brand_ids": [
      "qctI"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

For Cappellini

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