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.

That's Not My Mermaid. Board Book Book
Usborne

That's Not My Mermaid. Board Book Book

£11

Cut And Stick Space Paperback Book
Usborne

Cut And Stick Space Paperback Book

£10

Brenda Cole Woodland Magic Painting Book Paperback
Usborne

Brenda Cole Woodland Magic Painting Book Paperback

£10

Poppy And Sam's Big Activity Book Paperback
Usborne

Poppy And Sam's Big Activity Book Paperback

£12

Peek Inside The Forest Anna Milbourne Author
Usborne

Peek Inside The Forest Anna Milbourne Author

$13

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

Fiona Watt Sticker Dolly Dressing Fashion Designer London Collection

Fiona Watt

Fiona Watt Sticker Dolly Dressing Fashion Designer London Collection

£12

Was That Your Bottom, Dinosaur? Board Book Book
Usborne

Was That Your Bottom, Dinosaur? Board Book Book

£12

Little First Stickers Seashore Paperback Book
Usborne

Little First Stickers Seashore Paperback Book

£9

Fiona Watt Slide And See Animals Board Book Book
Usborne

Fiona Watt Slide And See Animals Board Book Book

£11

Little First Stickers Farm Paperback Sticker Book
Usborne

Little First Stickers Farm Paperback Sticker Book

$8

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

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