Channel3

Product data

Fendi

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

What Fendi can I help you find?

In the catalog

Sample Fendi products

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

Colibrì Slingback Pumps With Crystal Embroidery And High Heel
Fendi

Colibrì Slingback Pumps With Crystal Embroidery And High Heel

$1,425

Fendi Snakeskin-effect Platform Sandals
Fendi

Fendi Snakeskin-effect Platform Sandals

$1,331

Fendi Wood & Leather Bangle Bracelet – Blue Bangle
Fendi

Fendi Wood & Leather Bangle Bracelet – Blue Bangle

$78

Fendi Pre-owned 2010-2026 Mini Leather Simply Handbag
Fendi

Fendi Pre-owned 2010-2026 Mini Leather Simply Handbag

$1,761

Fendi Very Colibrì Leopard-print Sandals
Fendi

Fendi Very Colibrì Leopard-print Sandals

$1,300

Fendi Logo Leopard Printed Felt Hat
Fendi

Fendi Logo Leopard Printed Felt Hat

CA$880

Fendi Kids Logo Patch Hoodie
Fendi

Fendi Kids Logo Patch Hoodie

$591

Fendi Pre-owned 2000-2010 Zucchino Canvas Handbag
Fendi

Fendi Pre-owned 2000-2010 Zucchino Canvas Handbag

$654

Fendi Vintage Long Dress
Fendi

Fendi Vintage Long Dress

$713

Fendi Kids Logo-print T-shirt
Fendi

Fendi Kids Logo-print T-shirt

$387

Shoulder Bag Woman Fendi 8bn353aovhf19p8 Hazel
Fendi

Shoulder Bag Woman Fendi 8bn353aovhf19p8 Hazel

A$7,826

Fendi Demo Round Men's Eyeglasses Ff M0046 0086 49
Fendi

Fendi Demo Round Men's Eyeglasses Ff M0046 0086 49

$90

One endpoint

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

client = Channel3()

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

const client = new Channel3();

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

For Fendi

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