Product data

Wolverine

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

What Wolverine can I help you find?

In the catalog

Sample Wolverine products

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

Wolverine Lightweight, Water Resistant Rugged Backpack For Travel Or Work, Laptop-navy, 23l
Wolverine

Wolverine Lightweight, Water Resistant Rugged Backpack For Travel Or Work, Laptop-navy, 23l

$25

Wolverine Men's Floorhand 10 In Eh Wellington Work Boots
Wolverine

Wolverine Men's Floorhand 10 In Eh Wellington Work Boots

$250

Pack Of Walk Repreve Single Layer Socks – 1000 Mile
Wolverine

Pack Of Walk Repreve Single Layer Socks – 1000 Mile

£29

Wolverine Bring The Claws Girls Slouchy Sweatshirt
Marvel

Wolverine Bring The Claws Girls Slouchy Sweatshirt

$37

Wolverine Revival Waterproof Composite Toe Boots Dark Brown
Wolverine

Wolverine Revival Waterproof Composite Toe Boots Dark Brown

$140

Rancher Flag Lx Wellington Work Boot
Wolverine

Rancher Flag Lx Wellington Work Boot

$112

Wolverine Moonlit Blades Womens Slouchy Sweatshirt
Wolverine

Wolverine Moonlit Blades Womens Slouchy Sweatshirt

$39

Men's Cotton Steel Toe Over The Calf Socks 6-pack
Wolverine

Men's Cotton Steel Toe Over The Calf Socks 6-pack

$25

Leather Signature Jean Belt 1.5 In. W Brown
Wolverine

Leather Signature Jean Belt 1.5 In. W Brown

$36

Marvel Deadpool & Wolverine We Are Deadpool T-shirt
Marvel

Marvel Deadpool & Wolverine We Are Deadpool T-shirt

$25

Marvel Deadpool & Wolverine Poster Encore Hoodie
Marvel

Marvel Deadpool & Wolverine Poster Encore Hoodie

$47

One endpoint

Find all Wolverine 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": "Wolverine products",
  "filters": {
    "brand_ids": [
      "Vmb0"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="Wolverine products",
    filters={"brand_ids": ["Vmb0"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "Wolverine products",
  filters: {
    brand_ids: ["Vmb0"],
  },
  limit: 20,
});

For Wolverine

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