Flipkart Minutes API · Endpoint

Flipkart Minutes Category Products API

Q: What do I send?

Send latitude, longitude, neighbourhood, city, state and pincode. 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 flipkart-minutes.category.products.list, checks its price and runs it with the same credits as the REST API.

The verified Apple type filter is optional for hloc/0071.

8 credits per call
Failed calls are free
Updated 12 Oct 2026
flipkart-minutes.category.products.list

Start free, 100 credits API reference

Response completed

{  "observed_at": "2026-10-04T10:27:03Z",  "pagination": {    "has_more": true,    "raw_rows": 10  },  "store": {    "eta_seconds": 473,    "store_id": "ben_017_wh_hl_01"  },  "categories": [    {      "name": "Fresh Fruits",      "category_id": "hloc/0071/7102",      "discovered_in": "/hyperlocal/Fruits/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071",      "url": "https://www.flipkart.com/hyperlocal/hloc/7102/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071%2F7102"    },    {      "name": "Gourmet",      "category_id": "hloc/0071/yhjl",      "discovered_in": "/hyperlocal/Fruits/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071",      "url": "https://www.flipkart.com/hyperlocal/hloc/yhjl/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071%2Fyhjl"    }  ],  "products": [    {      "title": "Tender Coconut",      "price": 76,      "mrp": 150,      "brand": "Unbranded",      "currency": "INR",      "discount_amount": 74,      "discount_percentage": 49.33,      "discount_percentage_displayed": 49,      "discount_source": "price_mrp",      "eta_seconds": 473,      "is_sponsored": null,      "listing_id": "LSTFRTFFHGPY5HXSWA8TUFQ0K",      "order_limit": 6,      "pack": "1 Units",      "product_id": "FRTFFHGPY5HXSWA8",      "stock": "IN_STOCK",      "store_id": "ben_017_wh_hl_01",      "store_provenance": "product",      "url": "https://www.flipkart.com/tender-coconut/p/itm339d1fd952b7e?lid=LSTFRTFFHGPY5HXSWA8TUFQ0K&marketplace=HYPERLOCAL&pid=FRTFFHGPY5HXSWA8&shopId…",      "images": [        "https://rukminim1.flixcart.com/image/800/800/xif0q/fruit/n/n/2/-original-imahqtaazfsysp3s.jpeg?q=80",        "https://rukminim1.flixcart.com/image/800/800/xif0q/fruit/l/a/v/-original-imahqtaafby9w4ey.jpeg?q=80"      ],      "offers": [        {          "label": "Bank Offer",          "type": "BANK_OFFER"        }      ],      "variant_product_ids": [        "FRTFFHGPY5HXSWA8"      ]    },    {      "title": "Baby Shimla Apple",      "price": 25,      "mrp": 79,      "brand": "Unbranded",      "currency": "INR",      "discount_amount": 54,      "discount_percentage": 68.35,      "discount_percentage_displayed": 68,      "discount_source": "price_mrp",      "eta_seconds": 473,      "is_sponsored": null,      "listing_id": "LSTFRTHDT4UGVBMZWDSTU7TKZ",      "order_limit": 2,      "pack": "1 Units",      "product_id": "FRTHDT4UGVBMZWDS",      "stock": "IN_STOCK",      "store_id": "ben_017_wh_hl_01",      "store_provenance": "product",      "url": "https://www.flipkart.com/baby-shimla-apple/p/itm56ad401dacde3?lid=LSTFRTHDT4UGVBMZWDSTU7TKZ&marketplace=HYPERLOCAL&pid=FRTHDT4UGVBMZWDS&sho…",      "images": [        "https://rukminim1.flixcart.com/image/800/800/xif0q/fruit/h/o/p/-original-imahqvft8x428haf.jpeg?q=80",        "https://rukminim1.flixcart.com/image/800/800/xif0q/fruit/e/3/a/-original-imahqvftrmtpq6kk.jpeg?q=80"      ],      "offers": [        {          "label": "Bank Offer",          "type": "BANK_OFFER"        }      ],      "variant_product_ids": [        "FRTF7EV7PFVTFPFN",        "FRTHDT4UGVBMZWDS"      ]    }  ],  "sections": [    {      "position": 1,      "type": "categories"    },    {      "position": 2,      "type": "content"    }  ]}

3 rows

#	Name	Discovered in	Category id	Url
1	Fresh Fruits	/hyperlocal/Fruits/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071	hloc/0071/7102	https://www.flipkart.com/hyperlocal/hloc/7102/pr?marketplace=HY…
2	Gourmet	/hyperlocal/Fruits/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071	hloc/0071/yhjl	https://www.flipkart.com/hyperlocal/hloc/yhjl/pr?marketplace=HY…
3	Apple Orchard	/hyperlocal/Fruits/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071	hloc/0071/7113	https://www.flipkart.com/hyperlocal/hloc/7113/pr?marketplace=HY…

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
city	string	yes	City name.	Bengaluru
latitude	number	yes	Latitude in decimal degrees. From -90 to 90.	12.9352403
longitude	number	yes	Longitude in decimal degrees. From -180 to 180.	77.624532
neighbourhood	string	yes		Koramangala
pincode	string	yes	Postal code (PIN) that sets the delivery location.	560034
state	string	yes	State or region name.	Karnataka
category_id	string	one of	Category identifier.	hloc/0071
category_url	string	one of	First-party /hyperlocal/.../pr URL returned by category discovery; provide this or category_id, not both.
limit	integer	no	Maximum number of results to return. From 1 to 500. Default: `100`.
max_pages	integer	no	Maximum number of result pages to fetch. From 1 to 6. Default: `1`.
type_filter	string	no	Allowed values: `Apple`.	Apple

Response

Fields it returns

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

Field	Type	Example
categories[].name	string	Fresh Fruits
categories[].category_id	string	hloc/0071/7102
categories[].discovered_in	string	/hyperlocal/Fruits/pr?marketplace=HYPERLOCAL&sid=hloc%2F0071
categories[].url	string	https://www.flipkart.com/hyperlocal/hloc/7102/pr?marketplace=HY…
categories	array	3 records
observed_at	string	2026-10-04T10:27:03Z
pagination	object	2 fields
pagination.has_more	boolean	true
pagination.raw_rows	integer	10
products	array	3 records
products[].brand	string	Unbranded
products[].currency	string	INR
products[].discount_amount	integer	74
products[].discount_percentage	number	49.33
products[].discount_percentage_displayed	integer	49
products[].discount_source	string	price_mrp
products[].eta_seconds	integer	473
products[].images	array	https://rukminim1.flixcart.com/image/800/800/xif0q/fruit/n/n/2/…
products[].is_sponsored	null	null
products[].listing_id	string	LSTFRTFFHGPY5HXSWA8TUFQ0K
products[].mrp	integer	150
products[].offers	array	1 records
products[].offers[].label	string	Bank Offer
products[].offers[].type	string	BANK_OFFER
products[].order_limit	integer	6
products[].pack	string	1 Units
products[].price	integer	76
products[].product_id	string	FRTFFHGPY5HXSWA8
products[].stock	string	IN_STOCK
products[].store_id	string	ben_017_wh_hl_01
products[].store_provenance	string	product
products[].title	string	Tender Coconut
products[].url	string	https://www.flipkart.com/tender-coconut/p/itm339d1fd952b7e?lid=…
products[].variant_product_ids	array	FRTFFHGPY5HXSWA8
sections	array	3 records
sections[].position	integer	1
sections[].type	string	categories
store	object	2 fields
store.eta_seconds	integer	473
store.store_id	string	ben_017_wh_hl_01

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": "flipkart-minutes.category.products.list",  "input": {    "category_id": "hloc/0071",    "city": "Bengaluru",    "latitude": 12.9352403,    "longitude": 77.624532,    "neighbourhood": "Koramangala",    "pincode": "560034",    "state": "Karnataka"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "flipkart-minutes.category.products.list",  "input": {    "category_id": "hloc/0071",    "city": "Bengaluru",    "latitude": 12.9352403,    "longitude": 77.624532,    "neighbourhood": "Koramangala",    "pincode": "560034",    "state": "Karnataka"  }}''')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": "flipkart-minutes.category.products.list",  "input": {    "category_id": "hloc/0071",    "city": "Bengaluru",    "latitude": 12.9352403,    "longitude": 77.624532,    "neighbourhood": "Koramangala",    "pincode": "560034",    "state": "Karnataka"  }}),});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 Flipkart Minutes category products for category id "hloc/0071", city "Bengaluru" and latitude "12.9352403". 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.

Flipkart Minutes