Channel3

Product data

Magas

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

What Magas can I help you find?

In the catalog

Sample Magas products

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

Air Outdoor Stacking Armchair (set Of 4) - Orange
Magas

Air Outdoor Stacking Armchair (set Of 4) - Orange

$992

First Outdoor Stacking Chair - Olive Green
Magas

First Outdoor Stacking Chair - Olive Green

$350

Magis Jerry The Wild Bunch Stool - Natural And Red
Magas

Magis Jerry The Wild Bunch Stool - Natural And Red

$341

Xz3 Round Table - Black
Magas

Xz3 Round Table - Black

$1,840

Spun Outdoor Rotating Chair - Bicolor
Magas

Spun Outdoor Rotating Chair - Bicolor

$1,084

South Outdoor Square Steel Dining Table - Bordeaux
Magas

South Outdoor Square Steel Dining Table - Bordeaux

$2,400

Dodo Abstract Outdoor Rockingbird Chair - Pink
Magas

Dodo Abstract Outdoor Rockingbird Chair - Pink

$530

1980s Cricket Chair By Andries Van Onck
Magas

1980s Cricket Chair By Andries Van Onck

$600

South Outdoor Stackable Bench - Night Blue/bench Only
Magas

South Outdoor Stackable Bench - Night Blue/bench Only

$1,540

The Wild Bunch Jerry Stool - Black 7140 / Black 1754 C
Magas

The Wild Bunch Jerry Stool - Black 7140 / Black 1754 C

$760

South Outdoor Basket - Red/orange/small: 15.7 In Diameter
Magas

South Outdoor Basket - Red/orange/small: 15.7 In Diameter

$645

Magis Sequoia Bar Stool Cushion - Divinamd 613
Magas

Magis Sequoia Bar Stool Cushion - Divinamd 613

$114

One endpoint

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

client = Channel3()

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

const client = new Channel3();

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

For Magas

Do you work at Magas?

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

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