Product data

Lunch Containers

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

What Lunch Containers can I help you find?

In the catalog

Sample Lunch Containers products

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

Melii 2 Compartment Snack Boxes, Pack Of 2 - Slate & Seafoam
Melii

Melii 2 Compartment Snack Boxes, Pack Of 2 - Slate & Seafoam

CA$10

Lunchbox Nadja Vehicles | Liewood
Liewood

Lunchbox Nadja Vehicles | Liewood

$29

Snackbox Powder Blue | 24 Bottles
24Bottles

Snackbox Powder Blue | 24 Bottles

€33

Gobe - Kids' Lunch Stack - Twinberry - Rebel

GöBe

Gobe - Kids' Lunch Stack - Twinberry - Rebel

$33

Homestyles Stainless Steel Jar With Spoon, 600-ml.
Homestyles

Homestyles Stainless Steel Jar With Spoon, 600-ml.

CA$10

Food Jar 650ml - Mint
Avanti

Food Jar 650ml - Mint

A$13

Light Oak Selbrae House Scenic Highland Cow Lunch Box
Selbrae House

Light Oak Selbrae House Scenic Highland Cow Lunch Box

£25

Tupperware Divided Square Lunch Box 550ml Orange
Tupperware

Tupperware Divided Square Lunch Box 550ml Orange

A$20

Mepal Ellipse Leak-proof Lunch Pot, 750ml, Nordic Blue
Mepal

Mepal Ellipse Leak-proof Lunch Pot, 750ml, Nordic Blue

£20

Clear Lunch Sandwich Container
Joie

Clear Lunch Sandwich Container

A$12

One endpoint

Find all lunch containers 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": "lunch containers",
  "filters": {
    "category_ids": [
      "17P"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="lunch containers",
    filters={"category_ids": ["17P"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "lunch containers",
  filters: {
    category_ids: ["17P"],
  },
  limit: 20,
});

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