Product data

Berkley

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

What Berkley can I help you find?

In the catalog

Sample Berkley products

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

Powerbait Panfish Nibbles

Powerbait Panfish Nibbles

$5

Trilene Big Game Braid 30 Lb. 990 Ft. Fishing Line

Trilene Big Game Braid 30 Lb. 990 Ft. Fishing Line

$20

Original Powerbait 7" Power Worms 13-pack

Original Powerbait 7" Power Worms 13-pack

$6

Berkley Powerbait 2 In. Pearl Red Dot Pre-rigged Swim Shad Lure (5-pack)

Berkley Powerbait 2 In. Pearl Red Dot Pre-rigged Swim Shad Lure (5-pack)

$7

Berkley Powerbait Eel Soft Bait

Berkley Powerbait Eel Soft Bait

$12

Berkley Gulp! Saltwater Swimming Mullet

Berkley Gulp! Saltwater Swimming Mullet

$10

Berkley Powerbait Trout Nuggets Dough Bait, Fluorescent Orange

Berkley Powerbait Trout Nuggets Dough Bait, Fluorescent Orange

$8

Berkley Gulp! Alive! Floating Salmon Eggs

Berkley Gulp! Alive! Floating Salmon Eggs

$8

Berkley Choppo Topwater Bait

Berkley Choppo Topwater Bait

$15

Berkley Powerbait Trout Dough Bait

Berkley Powerbait Trout Dough Bait

$7

Berkley Powerbait Trout Dough Bait

Berkley Powerbait Trout Dough Bait

$7

Berkley Gulp Trout Worm

Berkley Gulp Trout Worm

$7

One endpoint

Filter Berkley with a brand ID

The same search used in the demo above. Pass brand_ids to keep results inside this catalog. 1,000 free searches a month.

  • 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": "Berkley products",
  "filters": {
    "brand_ids": [
      "mmUb"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

FAQs

How developers pull Berkley into agents, search, and commission-earning flows.

For Berkley

Do you work at Berkley?

Channel3 is the product graph AI shopping apps plug into. Join it once and Berkley'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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Build with this catalog

1,000 free searches every month. No credit card required.