Taylor Darktone Series 3-pack Guitar Pick Tin Black
$60
Product data
Structured TAYLOR product data for search, recommendations, and AI shopping agents.
In the catalog
A live slice of the TAYLOR catalog โ titles, images, and prices the API returns today.
Taylor Darktone Series 3-pack Guitar Pick Tin Black
$60
Taylor Builder's Edition 614ce V-class Grand Auditorium Acoustic-electric Guitar Natural
$3,999
Bee Kind Thermometer Ceramic Multicolored 8 In. - Case Of 6
$115
Used 2011 Taylor Mahogany Gs-ltd Mahogany Acoustic Electric Guitar
Taylor Gs Mini-e Sunset Blvd Acoustic-electric Guitar - Natural
$899
2025 Catch Custom #3 C14ce "canela" Grand Auditorium Acoustic-electric Guitar - Natural
$6,499
2025 Catch Custom #32 C14e Baritone-6 Grand Auditorium Acoustic-electric Guitar - Aged Toner
$5,499
Used 2004 Taylor 214 Natural Acoustic Guitar
$600
Used Taylor 312e Natural Acoustic Electric Guitar
$1,230
Used Taylor Big Baby Taylor Natural Acoustic Guitar
$300
Taylor Custom Torrefied Sitka Spruce-katalox Grand Auditorium Acoustic-electric Guitar Natural
$4,999
Used Taylor Gs Mini Bass Natural Acoustic Bass Guitar
$530
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": "TAYLOR products",
"filters": {
"brand_ids": [
"A72Z"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
response = client.products.search(
query="TAYLOR products",
filters={"brand_ids": ["A72Z"]},
limit=20,
)import { Channel3 } from "@channel3/sdk";
const client = new Channel3();
const response = await client.products.search({
query: "TAYLOR products",
filters: {
brand_ids: ["A72Z"],
},
limit: 20,
});Broader product-data APIs for the same shopping workflows.
Other large catalogs available through the same API.
How developers pull TAYLOR into agents, search, and affiliate flows.
For TAYLOR
Channel3 can help TAYLOR show up more accurately across AI shopping apps. No technical work. Most teams are live the same week.