Channel3

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 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

Pack Of Walk Repreve Single Layer Socks – 1000 Mile
Wolverine

Pack Of Walk Repreve Single Layer Socks – 1000 Mile

£29

Wolverine Moonlit Blades Womens Slouchy Sweatshirt
Wolverine

Wolverine Moonlit Blades Womens Slouchy Sweatshirt

$39

Wolverine Vintage Wolverine Girls Slouchy Sweatshirt
Hot Topic

Wolverine Vintage Wolverine Girls Slouchy Sweatshirt

$37

Wolverine Leather Floorhand Work Belt 1.5 In. W Gravel Gray
Wolverine

Wolverine Leather Floorhand Work Belt 1.5 In. W Gravel Gray

$33

Men's 6 In. Work Boot - Soft Toe - Gold Boot Leather 9.5 M
Wolverine

Men's 6 In. Work Boot - Soft Toe - Gold Boot Leather 9.5 M

$139

Wolverine Trade Wedge Unline Canvas Boots Brown
Wolverine

Wolverine Trade Wedge Unline Canvas Boots Brown

$125

Wolverine 1000 Mile Wool Boots Black Grey
Wolverine

Wolverine 1000 Mile Wool Boots Black Grey

$425

Wolverine X Jordan Davis Graphic Tee
Wolverine

Wolverine X Jordan Davis Graphic Tee

Marvel Wolverine Stencil Womens T-shirt
Marvel

Marvel Wolverine Stencil Womens T-shirt

$29

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