Channel3

Product data

Table

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

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What Table can I help you find?

In the catalog

Sample Table products

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

Multi Capsule Coffee Machine - Sand
Table

Multi Capsule Coffee Machine - Sand

$87

Tablemate Plastic Rectangular Table Covers, 54" X 108", Red, Pack Of 6
Table

Tablemate Plastic Rectangular Table Covers, 54" X 108", Red, Pack Of 6

$22

Irish Flat Scallop Shells - Large
Table

Irish Flat Scallop Shells - Large

$44

Hope And Mary Small Platter - Fox
Table

Hope And Mary Small Platter - Fox

$290

Tanzanian Wood And Bone Carved Spoons - Style Three
Table

Tanzanian Wood And Bone Carved Spoons - Style Three

$12

Tablemate Table Set Plastic Banquet Roll Table Cover 40" X 100ft White I4010wh
Table

Tablemate Table Set Plastic Banquet Roll Table Cover 40" X 100ft White I4010wh

$28

Myrtle Beach Stonewashed Linen Collection - Table Runner 20" X 67"
Table

Myrtle Beach Stonewashed Linen Collection - Table Runner 20" X 67"

$74

Thibaut Kingsley Pillow
Table

Thibaut Kingsley Pillow

Golf Greens Linen Cocktail Napkins
Table

Golf Greens Linen Cocktail Napkins

Nostalgic Deer Ornament Black Watch Plaid Sweater
Table

Nostalgic Deer Ornament Black Watch Plaid Sweater

One endpoint

Find all Table products, in one API call

  • 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": "Table products",
  "filters": {
    "brand_ids": [
      "N5XU"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="Table products",
    filters={"brand_ids": ["N5XU"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "Table products",
  filters: {
    brand_ids: ["N5XU"],
  },
  limit: 20,
});

For Table

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