Product data

Arhaus

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

What Arhaus can I help you find?

In the catalog

Sample Arhaus products

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

Dempsey Dining Chair

Dempsey Dining Chair

$1,580

Marmont Pedestal - 36"/espresso

Marmont Pedestal - 36"/espresso

$1,100

Kipton 32" Armless Chair - Wiley Flax/deep

Kipton 32" Armless Chair - Wiley Flax/deep

$1,700

Faux Ranunculus Rose In Vase - 8"

Faux Ranunculus Rose In Vase - 8"

$335

Kipton Wide Arm 53" Right Arm Chaise - Promise Sugar/standard

Kipton Wide Arm 53" Right Arm Chaise - Promise Sugar/standard

$3,200

Torino Dining Chair - Banks Graphite

Torino Dining Chair - Banks Graphite

$928

Dune 94" Right Arm 2/2 Sofa - Nomad Charcoal

Dune 94" Right Arm 2/2 Sofa - Nomad Charcoal

$2,800

Cameran Sofa - 84"

Cameran Sofa - 84"

$4,300

Dune 40" Corner - Promise Sugar

Dune 40" Corner - Promise Sugar

$1,300

Beale Armless Chair - Beacon Stone/standard

Beale Armless Chair - Beacon Stone/standard

$2,170

Bal Harbour Outdoor Aluminum Sofa - 96"/eden Oyster

Bal Harbour Outdoor Aluminum Sofa - 96"/eden Oyster

$4,400

Bronte Leather Sofa - 96"

Bronte Leather Sofa - 96"

$3,800

One endpoint

Filter Arhaus 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
  • Affiliate-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": "Arhaus products",
  "filters": {
    "brand_ids": [
      "WSeo"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

FAQs

How developers pull Arhaus into agents, search, and affiliate flows.

For Arhaus

Do you work at Arhaus?

Channel3 can help Arhaus show up more accurately across AI shopping apps. No technical work. Most teams are live the same week.

Drive more AI sales

Build with this catalog

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