Channel3

Product data

TF Publishing

Structured TF Publishing product data for search, recommendations, and AI shopping agents. Earn up to 9.1% on sales.

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In the catalog

Sample TF Publishing products

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

2024 Tf Publishing Medium Monthly Desk Pad Calendar, 12" X 17", Folk Love, January To December
TF Publishing

2024 Tf Publishing Medium Monthly Desk Pad Calendar, 12" X 17", Folk Love, January To December

$17

Tf Publishing Paper Goods 2027 Artisan Legacy Medium Desk Pad Monthly Blotter Calendar
TF Publishing

Tf Publishing Paper Goods 2027 Artisan Legacy Medium Desk Pad Monthly Blotter Calendar

$16

2026-2027, Tf Publishing Always Pick Pink Large Monthly Planner, 11" X 9", July 2026 To June 2027
TF Publishing

2026-2027, Tf Publishing Always Pick Pink Large Monthly Planner, 11" X 9", July 2026 To June 2027

$16

2026 Tf Publishing Nascar Best Races 12 X 12 Monthly Wall Calendar Multi
TF Publishing

2026 Tf Publishing Nascar Best Races 12 X 12 Monthly Wall Calendar Multi

2026 Tf Publishing 6.5" X 8" Calendar Year Weekly & Monthly Planner, Paperboard Cover, Electric Red (26-9200)
TF Publishing

2026 Tf Publishing 6.5" X 8" Calendar Year Weekly & Monthly Planner, Paperboard Cover, Electric Red (26-9200)

2026 Tf Publishing Magic Year 9" X 11" Weekly & Monthly, Paperboard Cover, Multicolored (26-9714)
TF Publishing

2026 Tf Publishing Magic Year 9" X 11" Weekly & Monthly, Paperboard Cover, Multicolored (26-9714)

Susan Branch 2027 Wall Calendar

Time Factory

Susan Branch 2027 Wall Calendar

CA$24

One endpoint

Find all TF Publishing products, in one API call

  • Normalized titles, images, and stable brand IDs
  • Live prices, availability, and merchant URLs
  • Earn up to 9.1% on TF Publishing sales
curl https://api.trychannel3.com/v1/search \
  -H "x-api-key: $CHANNEL3_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "query": "TF Publishing products",
  "filters": {
    "brand_ids": [
      "erm9"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="TF Publishing products",
    filters={"brand_ids": ["erm9"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "TF Publishing products",
  filters: {
    brand_ids: ["erm9"],
  },
  limit: 20,
});

Questions about TF Publishing

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