Product data

Pendleton

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

What Pendleton can I help you find?

In the catalog

Sample Pendleton products

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

Nehalem Shoreside Pack-n-go Swim Trunks

Nehalem Shoreside Pack-n-go Swim Trunks

Pendleton All Season Kuddler Indoor Outdoor Dog Bed

Pendleton All Season Kuddler Indoor Outdoor Dog Bed

Pendleton Trail Ridge Leash

Pendleton Trail Ridge Leash

Pendleton Graphic Black Casual Dress Size 6 Petite

Pendleton Graphic Black Casual Dress Size 6 Petite

Cat Heads Jar Candle - Rolling In Grass Scent

Cat Heads Jar Candle - Rolling In Grass Scent

Vintage 90's Pendleton Plaid Popper Flannel Shirt - L

Vintage 90's Pendleton Plaid Popper Flannel Shirt - L

£63

Yellowstone Decke Aus Schurwolle Mit Streifen Und Applikation

Yellowstone Decke Aus Schurwolle Mit Streifen Und Applikation

€343

National Park Adventure Leash

National Park Adventure Leash

$37

National Park Hiker Leash

National Park Hiker Leash

$70

Vintage Pendleton Navajo Western Snap Button Long Sleeve Corduroy Shirt

Vintage Pendleton Navajo Western Snap Button Long Sleeve Corduroy Shirt

£50

V-neck Sweater

V-neck Sweater

$22

Pendleton Wool Mock Neck Polo Sweater

Pendleton Wool Mock Neck Polo Sweater

$29

One endpoint

Filter Pendleton 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
  • 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": "Pendleton products",
  "filters": {
    "brand_ids": [
      "kguR"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

FAQs

How developers pull Pendleton into agents, search, and commission-earning flows.

For Pendleton

Do you work at Pendleton?

Channel3 is the product graph AI shopping apps plug into. Join it once and Pendleton's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.

Join the graph

Build with this catalog

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