Product data

Lanvin

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

What Lanvin can I help you find?

In the catalog

Sample Lanvin products

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

Lanvin V-neck Wool Cardigan
Lanvin

Lanvin V-neck Wool Cardigan

$719

Lanvin Eyelet-embroidered Grosgrain-ribbon Dress
Lanvin

Lanvin Eyelet-embroidered Grosgrain-ribbon Dress

$3,733

Lanvin Pre-owned Button-front Trench Coat
Lanvin

Lanvin Pre-owned Button-front Trench Coat

$400

Lanvin Pre-owned Asymmetric Draped Midi Dress
Lanvin

Lanvin Pre-owned Asymmetric Draped Midi Dress

$491

Lanvin Mary-jane Ballet Flats In Leather
Lanvin

Lanvin Mary-jane Ballet Flats In Leather

$501

Meteor Lace-up Sneakers
Lanvin

Meteor Lace-up Sneakers

$463

Lanvin Logo-embroidered Track Pants
Lanvin

Lanvin Logo-embroidered Track Pants

$607

Lanvin Men's Mesh Knit And Leather Grip-strap Sneakers
Lanvin

Lanvin Men's Mesh Knit And Leather Grip-strap Sneakers

$820

Lanvin Preloved Long Sleeve Mini Dress In Burgundy Viscose
Lanvin

Lanvin Preloved Long Sleeve Mini Dress In Burgundy Viscose

£249

Tapered-leg Wool Trousers
Lanvin

Tapered-leg Wool Trousers

£830

Blue Nylon Curb Sneakers
Lanvin

Blue Nylon Curb Sneakers

€620

Lanvin Eclat D'arpege Mon Eclat Eau De Parfum
Lanvin

Lanvin Eclat D'arpege Mon Eclat Eau De Parfum

£12

One endpoint

Find all Lanvin 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": "Lanvin products",
  "filters": {
    "brand_ids": [
      "q2B8"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="Lanvin products",
    filters={"brand_ids": ["q2B8"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "Lanvin products",
  filters: {
    brand_ids: ["q2B8"],
  },
  limit: 20,
});

For Lanvin

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