Dbtlap Laptop Cooling Heatsink Fan For Dc28000nfsl Dp/n:0hcyn0 Hcyn0 At2ee001zcl
$35
Product data
Structured DBTLAP product data for search, recommendations, and AI shopping agents.
In the catalog
A live slice of the DBTLAP catalog โ titles, images, and prices the API returns today.
Dbtlap Laptop Cooling Heatsink Fan For Dc28000nfsl Dp/n:0hcyn0 Hcyn0 At2ee001zcl
$35
Heatsink Cooling For Clevo Xmg P505 P651se
$27
Dbtlap Laptop Cpu Cooling Fan For Hp Omen Gangming X 17-ap Tpn-q197
$17
Laptop Cooling Fan For Clevo Egc-70060s1-0ah 6-31-nv40s-101-dv Nv40mz 5v 2.5w 0.5a Fan
$34
Dbtlap Laptop Cooling Fan For Afb0512vhd Yd4tx-a00 12v 0.24a 4wire Fan
$33
Laptop Cpu Fan Compatible For Dell Xt Xt2 Fan Gc054509vh-a 13.v1.b3786.f.gn Cooling Fan
$16
Laptop Cooling Fan For Thinkpad T490 T495 Fan Eg50040s1-cf80-s9a 5v 2.5w
$27
Laptop Cpu Fan Compatible For Dell Latitude E5530 Laptop Cpu Fan Bata0613r5h 9htyd Mf60120v1-c420-g9a
$14
Cpu Cooling Fan For Dell Latitude 7280 E7280 P28s Ksb0605hc-c0k
$14
Gpu Fan
$62
New Cooling Fan Cooler For Eg50060s1-c060-s9a Dc28000rns0 0cnv63 Dv12v
$36
For Delta Nd35c02-17b13 Dc5v 0.50a 3.5cm Cooling Fan
$38
One endpoint
The same search used in the demo above. Pass brand_ids to keep results inside this catalog. 1,000 free searches a month.
curl https://api.trychannel3.com/v1/search \
-H "x-api-key: $CHANNEL3_API_KEY" \
-H "content-type: application/json" \
-d '{
"query": "DBTLAP products",
"filters": {
"brand_ids": [
"gNHK"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
response = client.products.search(
query="DBTLAP products",
filters={"brand_ids": ["gNHK"]},
limit=20,
)import { Channel3 } from "@channel3/sdk";
const client = new Channel3();
const response = await client.products.search({
query: "DBTLAP products",
filters: {
brand_ids: ["gNHK"],
},
limit: 20,
});Broader product-data APIs for the same shopping workflows.
Other large catalogs available through the same API.
How developers pull DBTLAP into agents, search, and affiliate flows.
For DBTLAP
Channel3 can help DBTLAP show up more accurately across AI shopping apps. No technical work. Most teams are live the same week.