Nana Express API · Endpoint

Nana Express One Product by Pid API

Q: What do I send?

Send store_id and pid. The input fields below list every option with its type and limits.

Q: Can my AI agent call it?

Yes, over MCP: the agent finds nana.product.get, checks its price and runs it with the same credits as the REST API.

Read one product from a store by its stable pid, with price, stock, status and pack details.

1 credit per call
Failed calls are free
Updated 14 Nov 2026
nana.product.get

Start free, 100 credits API reference

Response completed

{  "product": {    "name": "Luna Sweetened Condensed Milk - 370g",    "price": 8.5,    "brand": "Luna",    "currency": "SAR",    "in_stock": true,    "max_quantity": 46,    "pid": "PID10000257",    "size_text": "370 g"  }}

Try it live, free

Input

What you send

The input object of the request, with every field the endpoint accepts.

Field	Type	Required	What it does	Example
pid	string	yes	Stable product id as returned by products.list or products.search, for example PID10000257. Inventory ids (INVP…) are a different route and answer not_found here.	PID10000257
store_id	string	yes	Nana store id the product must be listed in.	STR00002232

Response

Fields it returns

What each record in the response holds, with the values from the sample above.

Field	Type	Example
product	object	8 fields
product.brand	string	Luna
product.currency	string	SAR
product.in_stock	boolean	true
product.max_quantity	integer	46
product.name	string	Luna Sweetened Condensed Milk - 370g
product.pid	string	PID10000257
product.price	number	8.5
product.size_text	string	370 g

REST API · MCP server

Call it from your code, or ask your agent

Set UPSCRAPE_API_KEY to your key and copy a working request.

curl --request POST \  --url https://data.upscrape.com/execute \  --header "Authorization: Bearer $UPSCRAPE_API_KEY" \  --header "Content-Type: application/json" \  --header "Prefer: wait=30" \  --data '{  "capability": "nana.product.get",  "input": {    "pid": "PID10000257",    "store_id": "STR00002232"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "nana.product.get",  "input": {    "pid": "PID10000257",    "store_id": "STR00002232"  }}''')response = requests.post(    "https://data.upscrape.com/execute",    headers={        "Authorization": f"Bearer {os.environ['UPSCRAPE_API_KEY']}",        "Content-Type": "application/json",        "Prefer": "wait=30",    },    json=payload,)response.raise_for_status()print(json.dumps(response.json(), indent=2))

const response = await fetch("https://data.upscrape.com/execute", {  method: "POST",  headers: {    "Authorization": `Bearer ${process.env.UPSCRAPE_API_KEY}`,    "Content-Type": "application/json",    "Prefer": "wait=30",  },  body: JSON.stringify({  "capability": "nana.product.get",  "input": {    "pid": "PID10000257",    "store_id": "STR00002232"  }}),});if (!response.ok) {  throw new Error(`Upscrape request failed: ${response.status}`);}console.log(JSON.stringify(await response.json(), null, 2));

In your AI agent Claude · Cursor · any MCP client

1Add the Upscrape MCP server

https://data.upscrape.com/mcp

2Ask for the data in plain words

With Upscrape, get the Nana Express one product by pid for pid "PID10000257" and store id "STR00002232". Tell me what it costs before you run it, then show the results as a table.

The agent finds the endpoint, shows you the price, and runs it with your credits.

Nana Express