Waylon 31.5 In. Seat Height Leather And Iron Bar Height Stool With Back And Footrest
$659
Product data
Structured Butler Specialty Company product data for search, recommendations, and AI shopping agents.
In the catalog
A live slice of the Butler Specialty Company catalog โ titles, images, and prices the API returns today.
Waylon 31.5 In. Seat Height Leather And Iron Bar Height Stool With Back And Footrest
$659
Niles Leather And Iron Bar Stool - Brown,black
$679
Butler Specialty Kai 2 Drawer End Table
$769
Butler Specialty Company Hager 16 In. W Round Marble & Metal Side Table, Green
$419
Celeste 25 In. W Rectangular Upholstered Antique Mirrored Vanity Bench
$839
Anew 46 In. W Rectangular Wood Campaign 3 Drawer Writing Desk
$999
Vance Cottage White Bookcase
$399
Pendleton 26 In. W Medium Brown Round Wood End Table
$598
Alinia Brown One Drawer End Table
$499
Talulah Marble Accent Table
$545
Rockport 46 In. W Rectangular Wood 3 Drawer Dresser
$2,499
Tori 40 In. W Light Brown Round Wood And Metal Coffee Table
$866
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": "Butler Specialty Company products",
"filters": {
"brand_ids": [
"MnlE"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
response = client.products.search(
query="Butler Specialty Company products",
filters={"brand_ids": ["MnlE"]},
limit=20,
)import { Channel3 } from "@channel3/sdk";
const client = new Channel3();
const response = await client.products.search({
query: "Butler Specialty Company products",
filters: {
brand_ids: ["MnlE"],
},
limit: 20,
});Broader product-data APIs for the same shopping workflows.
Other large catalogs available through the same API.
How developers pull Butler Specialty Company into agents, search, and affiliate flows.
For Butler Specialty Company
Channel3 can help Butler Specialty Company show up more accurately across AI shopping apps. No technical work. Most teams are live the same week.