Channel3

Product data

Harlequin

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

What Harlequin can I help you find?

In the catalog

Sample Harlequin products

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

Brenda Jackson The Westmorelands Series Books 11-15: An Anthology Brenda Jackson Author
Harlequin

Brenda Jackson The Westmorelands Series Books 11-15: An Anthology Brenda Jackson Author

$20

Harlequin Brocha Abstract Cushion, Forest/midnight
Harlequin

Harlequin Brocha Abstract Cushion, Forest/midnight

£60

Harlequin Allegra Made To Measure Curtains, Oyster
Harlequin

Harlequin Allegra Made To Measure Curtains, Oyster

£42

King's Heir Ultimatum - (babies For Royal Brides)
Harlequin

King's Heir Ultimatum - (babies For Royal Brides)

$6

Navajo Sunrise Elizabeth Lane Author
Harlequin

Navajo Sunrise Elizabeth Lane Author

$7

Harlequin Allegra Made To Measure Curtains, Peony
Harlequin

Harlequin Allegra Made To Measure Curtains, Peony

£42

Harlequin Sumi Reflect Hand Tufted Wool Abstract Area Rug In Fern/pistachio
Harlequin

Harlequin Sumi Reflect Hand Tufted Wool Abstract Area Rug In Fern/pistachio

$786

Harlequin Ario Made To Measure Curtains, Riviera
Harlequin

Harlequin Ario Made To Measure Curtains, Riviera

£30

A Housemaid To Redeem Him Laura Martin Author
Harlequin

A Housemaid To Redeem Him Laura Martin Author

$3

Harlequin Allegra Made To Measure Curtains, Sesame
Harlequin

Harlequin Allegra Made To Measure Curtains, Sesame

£42

One endpoint

Find all Harlequin 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": "Harlequin products",
  "filters": {
    "brand_ids": [
      "MK17"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="Harlequin products",
    filters={"brand_ids": ["MK17"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "Harlequin products",
  filters: {
    brand_ids: ["MK17"],
  },
  limit: 20,
});

For Harlequin

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