Product data

Magnanni

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

What Magnanni can I help you find?

In the catalog

Sample Magnanni products

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

Ceres Men's Boots

Ceres Men's Boots

€410

Eddison Cap Toe Oxford

Eddison Cap Toe Oxford

$230

Maya Rider

Maya Rider

€590

Efren Men's Single Buckle Monk Straps

Efren Men's Single Buckle Monk Straps

$525

Seneca Ii Men's Tassel Loafers

Seneca Ii Men's Tassel Loafers

$475

Montego Men's Double Buckle Monk Straps

Montego Men's Double Buckle Monk Straps

€375

Montana X Men\'s Hiking Boots

Montana X Men\'s Hiking Boots

$575

Cosmo Perf Men's Low-top Sneakers

Cosmo Perf Men's Low-top Sneakers

$495

Keanu Ii Men's Double Buckle Monk Straps

Keanu Ii Men's Double Buckle Monk Straps

€300

Lobo Cap Oxford

Lobo Cap Oxford

$112

Giancarlo Men's Moc Toe Bit Loafers

Giancarlo Men's Moc Toe Bit Loafers

€450

Aneto Monk Strap Loafer

Aneto Monk Strap Loafer

$250

One endpoint

Filter Magnanni with a brand ID

The same search used in the demo above. Pass brand_ids to keep results inside this catalog. 1,000 free searches a month.

  • 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": "Magnanni products",
  "filters": {
    "brand_ids": [
      "PnsS"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

FAQs

How developers pull Magnanni into agents, search, and commission-earning flows.

For Magnanni

Do you work at Magnanni?

Channel3 is the product graph AI shopping apps plug into. Join it once and Magnanni's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.

Join the graph

Build with this catalog

1,000 free searches every month. No credit card required.