Product data

Kellogg's

Structured Kellogg's product data for search, recommendations, and AI shopping agents.

What Kellogg's can I help you find?

In the catalog

Sample Kellogg's products

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

Popmarket - Medicom - Udf Series - Kellogg's Classic Style Sugar Pops Pete Figure - Collectibles - Multicolor
PopMarket

Popmarket - Medicom - Udf Series - Kellogg's Classic Style Sugar Pops Pete Figure - Collectibles - Multicolor

$22

Extra Large Inflatable Pool Float - Multicolor
Kellogg's

Extra Large Inflatable Pool Float - Multicolor

$9

Pop! Ad Icons: Kellogg's Eggo Waffle
Funko

Pop! Ad Icons: Kellogg's Eggo Waffle

$14

Vintage Kellogg's Cornflakes Cockerel Tote Bag
Kellogg's

Vintage Kellogg's Cornflakes Cockerel Tote Bag

£14

Vintage Kelloggs By Dexam Set Of 2 Rice Crispies Tea Towels
Kellogg's

Vintage Kelloggs By Dexam Set Of 2 Rice Crispies Tea Towels

£17

Vintage Kellogg's Coco Pops Tea Towel
Kellogg's

Vintage Kellogg's Coco Pops Tea Towel

£9

Breakfast Cereals Modern Logo T-shirt
Kellogg's

Breakfast Cereals Modern Logo T-shirt

£22

Odd Sox Frosted Flakes Crew Socks
Odd Sox

Odd Sox Frosted Flakes Crew Socks

$15

Thrilljoy Kellogg’s Frosted Flakes Pix! Tony The Tiger Collectible Figure
Thrilljoy

Thrilljoy Kellogg’s Frosted Flakes Pix! Tony The Tiger Collectible Figure

$20

Funko Pop! Ad Icons: Kelloggs Snap Crackle And Pop 4.86 Vinyl Figure
Funko

Funko Pop! Ad Icons: Kelloggs Snap Crackle And Pop 4.86 Vinyl Figure

$5

Roseart Kellogg's Cereal Favourite Modern 1000pc Jigsaw Puzzle

Rogueart

Roseart Kellogg's Cereal Favourite Modern 1000pc Jigsaw Puzzle

$11

One endpoint

Find all Kellogg's 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": "Kellogg's products",
  "filters": {
    "brand_ids": [
      "BPtm"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

const response = await client.products.search({
  query: "Kellogg's products",
  filters: {
    brand_ids: ["BPtm"],
  },
  limit: 20,
});

For Kellogg's

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