Product data

We

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

What We can I help you find?

In the catalog

Sample We products

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

Felt Snowmen Ornaments Set Of 6

Felt Snowmen Ornaments Set Of 6

$6

Pretty Bows Sheet Set

Pretty Bows Sheet Set

$41

Open Box: Harmony Modular Extra Deep Left-arm 2 Seater Sofa - Performance Boucle Oatmeal

Open Box: Harmony Modular Extra Deep Left-arm 2 Seater Sofa - Performance Boucle Oatmeal

$1,440

Zion Chandelier

Zion Chandelier

$559

European Flax Linen Valance Blackout Curtain

European Flax Linen Valance Blackout Curtain

$20,146

Harris 2-piece Bumper Chaise Sectional (100"–116")

Harris 2-piece Bumper Chaise Sectional (100"–116")

$198

Open Box: Elf Felt Stocking - White

Open Box: Elf Felt Stocking - White

$14

Open Box: Harmony Modular Sectional (extra Deep), Corner - Performance Boucle Oatmeal

Open Box: Harmony Modular Sectional (extra Deep), Corner - Performance Boucle Oatmeal

$1,080

Hoffman Pouf

Hoffman Pouf

$659

Citrino Petite Swivel Chair

Citrino Petite Swivel Chair

$999

Square Outdoor Cantilever Duo Umbrella (8'–10')

Square Outdoor Cantilever Duo Umbrella (8'–10')

$10,999

Disney Lilo & Stitch Wink & Hibiscus Women's Blue Handbag

Disney Lilo & Stitch Wink & Hibiscus Women's Blue Handbag

$30

One endpoint

Filter We 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": "We products",
  "filters": {
    "brand_ids": [
      "OH3B"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="We products",
    filters={"brand_ids": ["OH3B"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "We products",
  filters: {
    brand_ids: ["OH3B"],
  },
  limit: 20,
});

FAQs

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

For We

Do you work at We?

Channel3 is the product graph AI shopping apps plug into. Join it once and We'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.