Channel3

Product data

Train Cases

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

What Train Cases can I help you find?

In the catalog

Sample Train Cases products

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

Litepanels Traveler Case Duo With Custom Foam For 1 Astra Soft And 1 Astra (black)
Litepanels

Litepanels Traveler Case Duo With Custom Foam For 1 Astra Soft And 1 Astra (black)

$565

Westman Atelier By Métier Makeup Train Case Bouclé Black
Metier

Westman Atelier By Métier Makeup Train Case Bouclé Black

£550

Rolling Makeup Train Case Cosmetology Organizer Box Art Deco Graphite
Byootique

Rolling Makeup Train Case Cosmetology Organizer Box Art Deco Graphite

$94

Used Headliner Flx-10 Case Utility Case
Headliner

Used Headliner Flx-10 Case Utility Case

$200

19th Century English Rosewood Veneer Traveling Vanity Case Box
Chairish

19th Century English Rosewood Veneer Traveling Vanity Case Box

$625

Shany Rebel Alpha Series Trolley Makeup Case

SHANY

Shany Rebel Alpha Series Trolley Makeup Case

$20

Jujube X Miffy In Flower Fields Be Dapper Bag
JuJuBe

Jujube X Miffy In Flower Fields Be Dapper Bag

$35

Westcott Deluxe Wheeled Travel Case For Scrim Jim Cine Frames
Westcott

Westcott Deluxe Wheeled Travel Case For Scrim Jim Cine Frames

$190

Berkfield Pilot Trolley 54x44x21 Cm Silver Aluminium
Berkfield

Berkfield Pilot Trolley 54x44x21 Cm Silver Aluminium

£100

One endpoint

Find all train cases on the internet, in one API call

  • Normalized titles, images, and stable category IDs
  • Live prices, availability, and merchant URLs
  • Commission-ready offers
curl https://api.trychannel3.com/v1/search \
  -H "x-api-key: $CHANNEL3_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "query": "train cases",
  "filters": {
    "category_ids": [
      "BrM"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="train cases",
    filters={"category_ids": ["BrM"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "train cases",
  filters: {
    category_ids: ["BrM"],
  },
  limit: 20,
});

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