Channel3

Product data

Food Service Aprons

Structured food service aprons product data for search, recommendations, and AI shopping agents.

What Food Service Aprons can I help you find?

In the catalog

Sample Food Service Aprons products

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

100% Denim Apron With Kangaroo Pocket
Urban Bar

100% Denim Apron With Kangaroo Pocket

£69

Premier Barista Cross Back Full Apron
Premier

Premier Barista Cross Back Full Apron

£24

Eider & Ivory™ Bib Spun Poly Aprons - 12 Pack

Whyte & Ivory

Eider & Ivory™ Bib Spun Poly Aprons - 12 Pack

$33

Winco Badn-3430 Cross Back Bib Apron - 34 1/2" X 30 1/4", Poly-cotton, Dark Wash
Winco

Winco Badn-3430 Cross Back Bib Apron - 34 1/2" X 30 1/4", Poly-cotton, Dark Wash

$57

Black Le Chef Bibbed Full Apron

Le Chef

Black Le Chef Bibbed Full Apron

£31

Cotton Waist Apron With Pockets Half Apron Utility Server Apron For Cooking Serving Craft Work
Alilang

Cotton Waist Apron With Pockets Half Apron Utility Server Apron For Cooking Serving Craft Work

$28

Halco Adult General Sizing Santa Apron And Hat - One Size Fits Most - Red
Halco

Halco Adult General Sizing Santa Apron And Hat - One Size Fits Most - Red

$22

Blue Generation Scotchgard Treated Twill Bib Apron-regular-bg1270
Blue Generation

Blue Generation Scotchgard Treated Twill Bib Apron-regular-bg1270

$15

Chef Works Portland Bib Cooking Apron

Chef Works

Chef Works Portland Bib Cooking Apron

$45

One endpoint

Find all food service aprons 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": "food service aprons",
  "filters": {
    "category_ids": [
      "VV9"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="food service aprons",
    filters={"category_ids": ["VV9"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "food service aprons",
  filters: {
    category_ids: ["VV9"],
  },
  limit: 20,
});

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