Product data

Sneakers

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

What Sneakers can I help you find?

In the catalog

Sample Sneakers products

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

Adidas Men's Dame 6 Leather Sneakers - 10.5
adidas

Adidas Men's Dame 6 Leather Sneakers - 10.5

$136

(wmns) Converse Chuck Taylor All Star 'black' A04264c
Converse

(wmns) Converse Chuck Taylor All Star 'black' A04264c

$43

Frank Wright Brown Premium Leather Lace‑up Trainers
Frank Wright

Frank Wright Brown Premium Leather Lace‑up Trainers

£65

Santoni Men's Innova Velatura Leather Sneakers
Santoni

Santoni Men's Innova Velatura Leather Sneakers

$850

Zapato De Hombre
Polo

Zapato De Hombre

€55

Threadbare Men's Textured Trainers In Black
Threadbare

Threadbare Men's Textured Trainers In Black

£17

Asics Jog 100s Sneaker
ASICS

Asics Jog 100s Sneaker

$58

Puma Inhale - Mint Melt/lavender Alert
Puma

Puma Inhale - Mint Melt/lavender Alert

€120

Veja Rio Branco Alveomesh Sneakers
Veja

Veja Rio Branco Alveomesh Sneakers

CA$126

Chuck Taylor All Star Lift Platform Canvas Sneakers Purple
VF CORPORATION

Chuck Taylor All Star Lift Platform Canvas Sneakers Purple

$40

Jordan Air Jordan 6 Retro Bg Alternate 384665 113
Nike

Jordan Air Jordan 6 Retro Bg Alternate 384665 113

€130

One endpoint

Find all sneakers on the internet, in one API call

  • Normalized titles, images, and stable category IDs
  • Live prices, availability, and merchant URLs
  • Commission-ready offers
curl https://api.trychannel3.com/v1/search \
  -H "x-api-key: $CHANNEL3_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "query": "sneakers",
  "filters": {
    "category_ids": [
      "Ara"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

const response = await client.products.search({
  query: "sneakers",
  filters: {
    category_ids: ["Ara"],
  },
  limit: 20,
});

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