Product data

Baggallini

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

What Baggallini can I help you find?

In the catalog

Sample Baggallini products

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

Baggallini Criss Cross Bagg Crossbody Handbags

Baggallini Criss Cross Bagg Crossbody Handbags

Baggallini Modern Shopper Tote - French Navy

Baggallini Modern Shopper Tote - French Navy

Coastal Fliplock Cam Xbody - Moonrock

Coastal Fliplock Cam Xbody - Moonrock

Baggallini On The Go Large Belt Bag Waist Pack

Baggallini On The Go Large Belt Bag Waist Pack

Baggallini On The Go Large Belt Bag Waist Pack

Baggallini On The Go Large Belt Bag Waist Pack

Baggallini Set Wave Tote

Baggallini Set Wave Tote

Baggallini Trifecta Convertible Backpack

Baggallini Trifecta Convertible Backpack

Baggallini Xl Compression Cube

Baggallini Xl Compression Cube

$20

Modern Everywhere Drawstring Crossbody Bucket Bag

Modern Everywhere Drawstring Crossbody Bucket Bag

$49

Roam Rfid-blocking Crossbody Bag

Roam Rfid-blocking Crossbody Bag

$70

Baggallini Marais Crossbody Bag

Baggallini Marais Crossbody Bag

$297

Modern All-time Satchel

Modern All-time Satchel

$110

One endpoint

Filter Baggallini 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": "Baggallini products",
  "filters": {
    "brand_ids": [
      "bTdY"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

FAQs

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

For Baggallini

Do you work at Baggallini?

Channel3 is the product graph AI shopping apps plug into. Join it once and Baggallini's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.

Join the graph

Build with this catalog

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