Zomato API · Endpoint

Zomato 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 zomato.restaurants.list, checks its price and runs it with the same credits as the REST API.

The delivery restaurants Zomato lists in a city or at a point, with ratings, cost for two, delivery time and current offer.

1 credit per call
Failed calls are free
Updated 14 Oct 2026
zomato.restaurants.list

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Response completed

{  "city": "Delhi NCR",  "count": 5,  "latitude": 28.625789,  "longitude": 77.210276,  "source_url": "https://www.zomato.com/ncr/delivery",  "results": [    {      "name": "KFC",      "address": "A 12, Inner Circle, A Block, Connaught Place, New Delhi",      "aggregate_rating": 3.7,      "cuisine_string": "Burger, Rolls, Fast Food, Beverages",      "delivery_available": true,      "delivery_eta_minutes": 25,      "delivery_rating": 4,      "delivery_review_count": 7595,      "dining_rating": 3.3,      "dining_review_count": 1008,      "locality": "Connaught Place, New Delhi",      "online_ordering": true,      "rank": 3,      "res_id": "931",      "restaurant_id": "931",      "slug": "kfc-connaught-place-new-delhi",      "source_url": "https://www.zomato.com/ncr/delivery",      "url": "https://www.zomato.com/ncr/kfc-connaught-place-new-delhi/order",      "votes": 8603,      "zomato_gold": false,      "cost_for_two": {        "text": "₹400 for two",        "amount": 400,        "currency": "INR"      },      "offer": {        "discount_text": "₹140 OFF",        "is_gold": false      },      "query_context": {        "latitude": 28.625789,        "longitude": 77.210276      },      "cuisines": [        "Burger",        "Rolls"      ],      "offers": [        {          "discount_text": "₹140 OFF",          "is_gold": false        }      ]    },    {      "name": "McDonald's",      "address": "42, Atul Grove Road, Janpath, New Delhi",      "aggregate_rating": 4.1,      "cuisine_string": "Burger, Wraps, Fast Food, Beverages",      "delivery_available": true,      "delivery_eta_minutes": 30,      "delivery_rating": 4.3,      "delivery_review_count": 12300,      "dining_rating": 3.8,      "dining_review_count": 374,      "locality": "Janpath, New Delhi",      "online_ordering": true,      "rank": 4,      "res_id": "182",      "restaurant_id": "182",      "slug": "mcdonalds-janpath-new-delhi",      "source_url": "https://www.zomato.com/ncr/delivery",      "url": "https://www.zomato.com/ncr/mcdonalds-janpath-new-delhi/order",      "votes": 12600,      "zomato_gold": false,      "cost_for_two": {        "text": "₹400 for two",        "amount": 400,        "currency": "INR"      },      "query_context": {        "latitude": 28.625789,        "longitude": 77.210276      },      "cuisines": [        "Burger",        "Wraps"      ]    }  ]}

5 rows

#	Restaurant	Rating	Cuisines	Cost for two	Delivery (min)	Locality	Address	Delivery available	Delivery rating	Delivery review count
1	KFC	3.7	Burger, Rolls, Fast Food, Beverages	₹400 for two	25	Connaught Place, New Delhi	A 12, Inner Circle, A Block, Connaught Place, New Delhi	true	4	7595
2	McDonald's	4.1	Burger, Wraps, Fast Food, Beverages	₹400 for two	30	Janpath, New Delhi	42, Atul Grove Road, Janpath, New Delhi	true	4.3	12,300
3	Domino's Pizza	3.8	Pizza, Beverages, Desserts	₹350 for two	25	Connaught Place, New Delhi	Shop 23, Regal Building, Connaught Place, New Delhi	true	4.4	3300
4	Connaught Place SOCIAL	4.3	Mexican, Bar Food, Chinese, Fusion, North Indian, Momos, Shake,…	₹1,500 for two	35	Connaught Place, New Delhi	Plot 5, 1st Floor, Block B, Middle Circle, Connaught Place, New…	true	4.1	2148
5	Haldiram's	3.4	Biryani, North Indian, Mithai, Street Food, South Indian, Chine…	₹600 for two	30	Janpath, New Delhi	Shop 70, Janpath, Atul Grove Road, Janpath, New Delhi	true	4	11,400

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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 of a delivery point, with longitude, as an alternative to the city.
longitude	number	one of	Longitude of the delivery point.
city	string	no	The city's name as Zomato uses it in links, such as ncr, mumbai or bangalore. The Cities API lists them.	ncr
limit	integer	no	The most restaurants to return.	5

Response

Fields it returns

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

Field	Type	What it is	Example
results[].name	string	The name of the city, restaurant, dish or choice.	KFC
results[].aggregate_rating	number	The restaurant's overall rating, out of 5.	3.7
results[].cuisine_string	string	The cuisines as one line.	Burger, Rolls, Fast Food, Beverages
results[].cost_for_two.text	string	The amount as Zomato shows it.	₹400 for two
results[].delivery_eta_minutes	integer	Zomato's delivery time estimate, in minutes.	25
results[].locality	string	The restaurant's locality.	Connaught Place, New Delhi
results[].address	string	The restaurant's address.	A 12, Inner Circle, A Block, Connaught Place, New Delhi
results[].cost_for_two	object	Zomato's price guide for two people.	3 fields
results[].cost_for_two.amount	integer	The amount.	400
results[].cost_for_two.currency	string	The currency.	INR
results[].cuisines	array	The restaurant's cuisines.	Burger, Rolls, Fast Food
results[].delivery_available	boolean	Whether delivery is available.	true
results[].delivery_rating	integer	The restaurant's delivery rating, out of 5.	4
results[].delivery_review_count	integer	How many delivery reviews the restaurant has.	7595
results[].dining_rating	number	The restaurant's dining rating, out of 5.	3.3
results[].dining_review_count	integer	How many dining reviews the restaurant has.	1008
results[].offer	object	The restaurant's offer.	2 fields
results[].offer.discount_text	string	The discount as Zomato shows it.	₹140 OFF
results[].offer.is_gold	boolean	Whether the restaurant offers Zomato Gold benefits.	false
results[].offers	array	The restaurant's offers.	1 records
results[].offers[].discount_text	string		₹140 OFF
results[].offers[].is_gold	boolean		false
results[].online_ordering	boolean	Whether the restaurant takes online orders.	true
results[].query_context	object		2 fields
results[].query_context.latitude	number	Latitude.	28.63
results[].query_context.longitude	number	Longitude.	77.21
results[].rank	integer	The restaurant's place in the results.	3
results[].res_id	string	Zomato's ID for the restaurant.	931
results[].restaurant_id	string	Zomato's ID for the restaurant.	931
results[].slug	string	The name in the page's address.	kfc-connaught-place-new-delhi
results[].source_url	string	The Zomato page this came from.	https://www.zomato.com/ncr/delivery
results[].url	string	The page on Zomato.	https://www.zomato.com/ncr/kfc-connaught-place-new-delhi/order
results[].votes	integer	How many ratings the restaurant has.	8603
results[].zomato_gold	boolean	Whether the restaurant offers Zomato Gold benefits.	false
city	string	The city.	Delhi NCR
count	integer	How many results this response holds.	5
latitude	number	Latitude.	28.63
longitude	number	Longitude.	77.21
results	array	The results.	5 records
source_url	string	The Zomato page this came from.	https://www.zomato.com/ncr/delivery

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": "zomato.restaurants.list",  "input": {    "city": "ncr",    "limit": 5  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "zomato.restaurants.list",  "input": {    "city": "ncr",    "limit": 5  }}''')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": "zomato.restaurants.list",  "input": {    "city": "ncr",    "limit": 5  }}),});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

Use Upscrape to list the delivery restaurants Zomato shows in Delhi NCR. Make a table of name, rating, cuisines, cost for two and delivery time.

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

Zomato

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Questions

Zomato 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 Zomato 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 Zomato login?

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

Can my AI agent call it?

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

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