Channel3

Product data

Padfolios

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

What Padfolios can I help you find?

In the catalog

Sample Padfolios products

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

Line D Black Smooth Leather Conference Pad
S.T. Dupont

Line D Black Smooth Leather Conference Pad

€695

Bosca Old Leather 8.5 X 11 Pad Portfolio
Bosca

Bosca Old Leather 8.5 X 11 Pad Portfolio

$225

Osgoode Marley Cashmere Stationey Deluxe File Letter Pad - Black
Osgoode Marley

Osgoode Marley Cashmere Stationey Deluxe File Letter Pad - Black

$113

Piquadro Logo-plaque Document Holder
Piquadro

Piquadro Logo-plaque Document Holder

$195

Second Wind Field Notebook Cover
Simms

Second Wind Field Notebook Cover

$18

Thom Browne Pebble Grain Leather Document Holder With Plane Applique
Thom Browne

Thom Browne Pebble Grain Leather Document Holder With Plane Applique

CA$411

Samsill Slimline Padfolio Leather Look Faux Reptile Trim Writing Pad Black
Samsill

Samsill Slimline Padfolio Leather Look Faux Reptile Trim Writing Pad Black

$40

Magistral Vegan Notepad Cover - Vintage - Chili
Matt & Nat

Magistral Vegan Notepad Cover - Vintage - Chili

At A Glance Executive Monthly Padfolio 11 X 9 Black Cover 13 Month Jan 2026 To Jan 2027
AT-A-GLANCE

At A Glance Executive Monthly Padfolio 11 X 9 Black Cover 13 Month Jan 2026 To Jan 2027

$60

One endpoint

Find all padfolios 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": "padfolios",
  "filters": {
    "category_ids": [
      "cK0"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="padfolios",
    filters={"category_ids": ["cK0"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "padfolios",
  filters: {
    category_ids: ["cK0"],
  },
  limit: 20,
});

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