Product data

Aquarius

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

What Aquarius can I help you find?

In the catalog

Sample Aquarius products

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

Star Wars Movie Posters Playing Cards
Aquarius

Star Wars Movie Posters Playing Cards

$14

Memory Master Schitt's Creek Card Game
Aquarius

Memory Master Schitt's Creek Card Game

$13

A Nightmare On Elm Street Freddy Puzzle
Aquarius

A Nightmare On Elm Street Freddy Puzzle

$20

The Office Sunday Afternoon 1000 Piece Jigsaw Puzzle, Ages 14+
Aquarius

The Office Sunday Afternoon 1000 Piece Jigsaw Puzzle, Ages 14+

$17

Aquarius How The Grinch Stole Christmas Memory Master Card Game
Aquarius

Aquarius How The Grinch Stole Christmas Memory Master Card Game

$10

Marvel Collage 3000 Piece Puzzle
Aquarius

Marvel Collage 3000 Piece Puzzle

CA$40

Aquarius Elf Movie Collage Christmas Jigsaw Puzzle - 1000 Pc
Aquarius

Aquarius Elf Movie Collage Christmas Jigsaw Puzzle - 1000 Pc

$19

Halloween Ii Coffin 500 Piece Puzzle
Aquarius

Halloween Ii Coffin 500 Piece Puzzle

CA$24

Christmas Vacation Merry Clarkmas 1000 Piece Puzzle
Aquarius

Christmas Vacation Merry Clarkmas 1000 Piece Puzzle

CA$25

Harry Potter Express 1000 Piece Puzzle
Aquarius

Harry Potter Express 1000 Piece Puzzle

CA$25

Lord Of The Rings 3000 Piece Puzzle
Aquarius

Lord Of The Rings 3000 Piece Puzzle

CA$40

One endpoint

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

client = Channel3()

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

const client = new Channel3();

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

For Aquarius

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