Nana Express API · Endpoint

Nana Express Products in Store Search API

Q: What do I send?

Send store_id and search_txt. 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.products.search, checks its price and runs it with the same credits as the REST API.

Search one Nana store's catalogue by keyword, with the source's own match count and next-page flag.

1 credit per call
Failed calls are free
Updated 14 Nov 2026
nana.products.search

Start free, 100 credits API reference

Response completed

{  "count": 400,  "has_next_page": false,  "products": [    {      "name": "Luna Sweetened Condensed Milk - 370g",      "price": 8.5,      "brand": "Luna",      "currency": "SAR",      "in_stock": true,      "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
search_txt	string	yes	Keyword, for example milk. The source rejects an empty value with {"code":3,"message":"search_txt is required"}.	milk
store_id	string	yes	Nana store id, for example STR00002232. Search is store-scoped: the same keyword returns different stock and prices per store.	STR00002232

Response

Fields it returns

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

Field	Type	Example
products[].name	string	Luna Sweetened Condensed Milk - 370g
products[].price	number	8.5
products[].brand	string	Luna
products[].currency	string	SAR
products[].in_stock	boolean	true
products[].pid	string	PID10000257
products[].size_text	string	370 g
count	integer	400
has_next_page	boolean	false
products	array	1 records

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.products.search",  "input": {    "search_txt": "milk",    "store_id": "STR00002232"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "nana.products.search",  "input": {    "search_txt": "milk",    "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.products.search",  "input": {    "search_txt": "milk",    "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 products in store search for search txt "milk" 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