Product data

Mackenzie

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

What Mackenzie can I help you find?

In the catalog

Sample Mackenzie products

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

Sunny Rainbow Ditsy Mackenzie Lunch Box
Mackenzie

Sunny Rainbow Ditsy Mackenzie Lunch Box

$30

Mackenzie Hello Kitty Hearts Glow-in-the-dark Adaptive Lunch Box
Mackenzie

Mackenzie Hello Kitty Hearts Glow-in-the-dark Adaptive Lunch Box

$37

Paw Patrol Chase Critter Lunch Box
Mackenzie

Paw Patrol Chase Critter Lunch Box

$33

Star Wars Grogu Glow-in-the-dark Lunch Box
Mackenzie

Star Wars Grogu Glow-in-the-dark Lunch Box

$37

Pink Sparkle Glitter Kids Water Bottle
Mackenzie

Pink Sparkle Glitter Kids Water Bottle

$13

Navy Dino Bone Glow-in-the-dark Adaptive Lunch & Bento Bundle, Set Of 2
Mackenzie

Navy Dino Bone Glow-in-the-dark Adaptive Lunch & Bento Bundle, Set Of 2

$36

Mackenzie Navy Planet Lunch & Bento Set | Pottery Barn Kids
Mackenzie

Mackenzie Navy Planet Lunch & Bento Set | Pottery Barn Kids

$30

School Of Sharks Mackenzie Lunch Box
Mackenzie

School Of Sharks Mackenzie Lunch Box

$17

Mackenzie Marvel's Spider-man Critter Glow-in-the-dark Adaptive Lunch Box
Mackenzie

Mackenzie Marvel's Spider-man Critter Glow-in-the-dark Adaptive Lunch Box

$30

Mackenzie Rainbow Glitter Homework Folder
Mackenzie

Mackenzie Rainbow Glitter Homework Folder

$30

Mackenzie Navy Night Unicorn Glow Backpack | Pottery Barn Kids
Mackenzie

Mackenzie Navy Night Unicorn Glow Backpack | Pottery Barn Kids

$80

One endpoint

Find all Mackenzie 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": "Mackenzie products",
  "filters": {
    "brand_ids": [
      "mfSQ"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

For Mackenzie

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