Swiggy API · Endpoint

Swiggy Restaurants API

Q: What do I send?

Send latitude or longitude. 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 swiggy.list.restaurants, checks its price and runs it with the same credits as the REST API.

The restaurants listed at a location as one row each, ready for a spreadsheet or a database.

1 credit per call
Failed calls are free
Updated 18 Oct 2026
swiggy.list.restaurants

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Response completed

{  "summary": {    "has_more": true,    "latitude": 12.9121181,    "longitude": 77.6445548,    "total_items": 5  },  "items": [    {      "name": "Pizza Hut",      "rating": 4,      "area_name": "HSR Layout",      "cost_for_two_minor": 30000,      "cost_for_two_text": "₹300 for two",      "cuisines_text": "Pizzas",      "delivery_time_minutes": 25,      "is_open": true,      "last_mile_travel_km": 0.9,      "last_mile_travel_text": "0.9 km",      "latitude": 12.9121181,      "locality": "14th Main",      "longitude": 77.6445548,      "offer_text": "50% OFF",      "parent_id": "721",      "rating_text": "4.0",      "restaurant_id": "10581",      "serviceability": "SERVICEABLE",      "sla_text": "25-30 mins",      "total_ratings_text": "21K+",      "cuisines": [        "Pizzas"      ],      "offer_headers": [        "50% OFF"      ]    },    {      "name": "Boba Bhai - Bubble Tea & Korean Street Food",      "rating": 4.2,      "area_name": "HSR Layout",      "cost_for_two_minor": 20000,      "cost_for_two_text": "₹200 for two",      "cuisines_text": "Bubble Tea, Burger, Korean, Beverages, Fast Food, Juice and shake",      "delivery_time_minutes": 22,      "is_open": true,      "last_mile_travel_km": 0.6,      "last_mile_travel_text": "0.6 km",      "latitude": 12.9121181,      "locality": "5TH SECTOR",      "longitude": 77.6445548,      "offer_text": "60% OFF",      "parent_id": "361235",      "rating_text": "4.2",      "restaurant_id": "819617",      "serviceability": "SERVICEABLE",      "sla_text": "20-25 mins",      "total_ratings_text": "1.2K+",      "cuisines": [        "Bubble Tea",        "Burger"      ],      "offer_headers": [        "60% OFF"      ]    }  ]}

3 rows

#	Name	Rating	Area name	Cost for two minor	Cost for two text	Cuisines text	Delivery time minutes	Is open	Last mile travel km	Last mile travel text
1	Pizza Hut	4	HSR Layout	30,000	₹300 for two	Pizzas	25	true	0.9	0.9 km
2	Boba Bhai - Bubble Tea & Korean Street Food	4.2	HSR Layout	20,000	₹200 for two	Bubble Tea, Burger, Korean, Beverages, Fast Food, Juice and sha…	22	true	0.6	0.6 km
3	McDonald's	4.3	HSR Layout	40,000	₹400 for two	Burgers, Beverages, Cafe, Desserts	26	true	1.4	1.4 km

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
latitude	number	one of	Latitude; supply together with longitude, or omit both for the default delivery area. From -90 to 90.	12.9121181
longitude	number	one of	Longitude; supply together with latitude, or omit both for the default delivery area. From -180 to 180.	77.6445548
limit	integer	no	Maximum number of results, taken from Swiggy's first listing page.	5
offset	string	no	Not supported: Swiggy serves one listing page per location, so there is no next page to continue. Omit it; any value is rejected as invalid_input.

Response

Fields it returns

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

Field	Type	What it is	Example
items[].name	string	The name of the restaurant or dish.	Pizza Hut
items[].rating	integer	The average rating, out of 5.	4
items[].area_name	string	The area of the restaurant.	HSR Layout
items[].cost_for_two_minor	integer	The price guide for two, in paise.	30,000
items[].cost_for_two_text	string	Swiggy's price guide for two people.	₹300 for two
items[].cuisines	array	The restaurant's cuisines.	Pizzas
items[].cuisines_text	string	The cuisines as one line.	Pizzas
items[].delivery_time_minutes	integer	Swiggy's delivery time estimate, in minutes.	25
items[].is_open	boolean	Whether the restaurant is open now.	true
items[].last_mile_travel_km	number	Distance from the restaurant to you, in kilometres.	0.9
items[].last_mile_travel_text	string	That distance as Swiggy shows it.	0.9 km
items[].latitude	number	Latitude.	12.91
items[].locality	string	The restaurant's locality.	14th Main
items[].longitude	number	Longitude.	77.64
items[].offer_headers	array	The offer as Swiggy headlines it.	50% OFF
items[].offer_text	string	The offer as Swiggy shows it.	50% OFF
items[].parent_id	string		721
items[].rating_text	string	The rating as Swiggy shows it.	4.0
items[].restaurant_id	string	Swiggy's ID for the restaurant, used by the menu endpoint.	10581
items[].serviceability	string	Whether the restaurant delivers to your location.	SERVICEABLE
items[].sla_text	string	Swiggy's delivery time estimate.	25-30 mins
items[].total_ratings_text	string	How many ratings, as Swiggy rounds it.	21K+
items	array	The results.	3 records
summary	object	Totals for this response.	4 fields
summary.has_more	boolean	Whether more results follow this page.	true
summary.latitude	number	Latitude.	12.91
summary.longitude	number	Longitude.	77.64
summary.total_items	integer	How many results this response holds.	5

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": "swiggy.list.restaurants",  "input": {    "latitude": 12.9121181,    "limit": 5,    "longitude": 77.6445548  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "swiggy.list.restaurants",  "input": {    "latitude": 12.9121181,    "limit": 5,    "longitude": 77.6445548  }}''')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": "swiggy.list.restaurants",  "input": {    "latitude": 12.9121181,    "limit": 5,    "longitude": 77.6445548  }}),});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 Swiggy restaurants for latitude "12.9121181" and longitude "77.6445548". 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.

Swiggy

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Questions

Swiggy Restaurants API FAQ

The short answers. The docs have the long ones.

Still have a question? Talk to the people who build the endpoints.

Book a call [email protected]

How much does the Swiggy Restaurants API cost?

1 credit per successful call, shown before it runs. You buy credits once, and paid credits never expire.

What do I send?

Send latitude or longitude. The input fields below list every option with its type and limits.

Do I need a Swiggy login?

No. It reads public Swiggy data; nothing runs on your account.

Can my AI agent call it?

Yes, over MCP: the agent finds swiggy.list.restaurants, checks its price and runs it with the same credits as the REST API.

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