Channel3

Product data

Usborne

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

What Usborne can I help you find?

In the catalog

Sample Usborne products

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

Sticker Dolly Dressing Popstars Lucy Bowman Author
Usborne

Sticker Dolly Dressing Popstars Lucy Bowman Author

$10

Birds Magic Painting Book Paperback
Usborne

Birds Magic Painting Book Paperback

£10

Funny Faces Sticker Book Paperback
Usborne

Funny Faces Sticker Book Paperback

£7

First Sticker Book Pirates Paperback
Usborne

First Sticker Book Pirates Paperback

£9

Peek Inside The Forest Anna Milbourne Author
Usborne

Peek Inside The Forest Anna Milbourne Author

$13

First Sticker Book Superheroes Paperback
Usborne

First Sticker Book Superheroes Paperback

£9

Usborne Scratch Activities Night Sky Paperback Book
Usborne

Usborne Scratch Activities Night Sky Paperback Book

£11

Sam Taplin Jungle Magic Painting Book Paperback
Usborne

Sam Taplin Jungle Magic Painting Book Paperback

£10

Lots Of Rainy Day Activities Paperback Book
Usborne

Lots Of Rainy Day Activities Paperback Book

£11

Farm Sounds Press-a-sound Book
Usborne

Farm Sounds Press-a-sound Book

$20

Sam Taplin Slider Sound Books: Rummble! Board Book
Usborne

Sam Taplin Slider Sound Books: Rummble! Board Book

£15

First Questions And Answers: Why Does The Sun Shine? Board Book Book
Usborne

First Questions And Answers: Why Does The Sun Shine? Board Book Book

£13

One endpoint

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

client = Channel3()

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

const client = new Channel3();

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

For Usborne

Do you work at Usborne?

Channel3 is the product graph AI shopping apps plug into. Join it once and Usborne'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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