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 โ€” titles, images, and prices the API returns today.

Swift Flap Mini Crossbody Bag

Swift Flap Mini Crossbody Bag

$45

Water Repellent Pouch

Water Repellent Pouch

$49

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 Modern Shopper Tote - French Navy

Baggallini Modern Shopper Tote - French Navy

Modern Avenue Tote With Wristlet

Modern Avenue Tote With Wristlet

$128

2-wheel Tote Carry-on Roller Luggage

2-wheel Tote Carry-on Roller Luggage

$140

Baggallini Criss Cross Bagg Crossbody Handbags

Baggallini Criss Cross Bagg Crossbody Handbags

Deluxe Toiletry Kit

Deluxe Toiletry Kit

$60

Baggallini Marais Crossbody Bag

Baggallini Marais Crossbody Bag

$297

Baggallini Modern Everywhere Travel Duffel

Baggallini Modern Everywhere Travel Duffel

Baggallini On The Go Large Belt Bag Waist Pack

Baggallini On The Go Large Belt Bag Waist Pack

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
  • Affiliate-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 affiliate flows.

For Baggallini

Do you work at Baggallini?

Channel3 can help Baggallini show up more accurately across AI shopping apps. No technical work. Most teams are live the same week.

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Build with this catalog

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