Channel3

Product data

Holmegaard

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

What Holmegaard can I help you find?

In the catalog

Sample Holmegaard products

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

Classical Bedside Lamp From Holmegaard, Denmark, 1970s
Holmegaard

Classical Bedside Lamp From Holmegaard, Denmark, 1970s

$300

Art Glass Orchid Vase Attributed To Per Lütken For Holmegaard, 1960s
Holmegaard

Art Glass Orchid Vase Attributed To Per Lütken For Holmegaard, 1960s

$105

Holmegaard Flow Tumbler On Foot, 11.8 Oz, 1 Pcs. - Dark Blue
Holmegaard

Holmegaard Flow Tumbler On Foot, 11.8 Oz, 1 Pcs. - Dark Blue

$30

Vintage Danish Smoked Glass Swirl Plate From Holmegaard, 1970s
Holmegaard

Vintage Danish Smoked Glass Swirl Plate From Holmegaard, 1970s

$231

Mid-century White Opaline Glass Table Lamp From Holmegaard, 1970s
Holmegaard

Mid-century White Opaline Glass Table Lamp From Holmegaard, 1970s

$433

Holmegaard Christmas Beer Glass, Multi, 17 Oz
Holmegaard

Holmegaard Christmas Beer Glass, Multi, 17 Oz

$35

Vintage Danish Pendant Lamp From Holmegaard, 1970s
Holmegaard

Vintage Danish Pendant Lamp From Holmegaard, 1970s

$391

Signed Holmegaard Danish "smoke" Bowl
Holmegaard

Signed Holmegaard Danish "smoke" Bowl

$275

Danish Vase By Per Lütken For Holmegaard, 1960s
Holmegaard

Danish Vase By Per Lütken For Holmegaard, 1960s

$245

One endpoint

Find all Holmegaard 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": "Holmegaard products",
  "filters": {
    "brand_ids": [
      "IqND"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

For Holmegaard

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