Zomato API · Endpoint

Zomato All Restaurants API

Q: Can my AI agent call it?

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

Delivery restaurants across a whole area: a city, a box or a centre and radius, in one list without duplicates.

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

Start free, 100 credits API reference

Response completed

{  "summary": {    "city": "ncr",    "fetched_at": "2026-09-24T08:48:44Z",    "source_url": "https://www.zomato.com/ncr/delivery",    "total_items": 1  },  "items": [    {      "name": "Hira Sweets",      "aggregate_rating": 3.9,      "fetched_at": "2026-09-24T08:48:44Z",      "res_id": "300658",      "restaurant_id": "300658",      "slug": "hira-sweets-connaught-place-new-delhi",      "source_url": "https://www.zomato.com/ncr/delivery",      "url": "https://www.zomato.com/ncr/hira-sweets-connaught-place-new-delhi/order",      "votes": 15,      "query_context": {        "latitude": 28.6315,        "longitude": 77.2167      }    }  ]}

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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
center_latitude	number	no	From -90 to 90.	28.6315
center_longitude	number	no	From -180 to 180.	77.2167
city	string	no	City name. Default: `ncr`.	ncr
max_latitude	number	no	From -90 to 90.
max_longitude	number	no	From -180 to 180.
max_restaurants	integer	no	From 1 to 5000. Default: `500`.	100
min_latitude	number	no	From -90 to 90.
min_longitude	number	no	From -180 to 180.
radius_km	number	no	From 0.001 to 100.	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
items[].name	string	The name of the city, restaurant, dish or choice.	Hira Sweets
items[].aggregate_rating	number	The restaurant's overall rating, out of 5.	3.9
items[].fetched_at	string	When this result was collected.	2026-09-24T08:48:44Z
items[].query_context	object		2 fields
items[].query_context.latitude	number	Latitude.	28.63
items[].query_context.longitude	number	Longitude.	77.22
items[].res_id	string	Zomato's ID for the restaurant.	300658
items[].restaurant_id	string	Zomato's ID for the restaurant.	300658
items[].slug	string	The name in the page's address.	hira-sweets-connaught-place-new-delhi
items[].source_url	string	The Zomato page this came from.	https://www.zomato.com/ncr/delivery
items[].url	string	The page on Zomato.	https://www.zomato.com/ncr/hira-sweets-connaught-place-new-delh…
items[].votes	integer	How many ratings the restaurant has.	15
items	array	The results.	1 records
summary	object	Totals for this response.	4 fields
summary.city	string	The city.	ncr
summary.fetched_at	string	When this result was collected.	2026-09-24T08:48:44Z
summary.source_url	string	The Zomato page this came from.	https://www.zomato.com/ncr/delivery
summary.total_items	integer	How many results this response holds.	1

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.all",  "input": {    "center_latitude": 28.6315,    "center_longitude": 77.2167,    "city": "ncr",    "max_restaurants": 100,    "radius_km": 5  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "zomato.restaurants.all",  "input": {    "center_latitude": 28.6315,    "center_longitude": 77.2167,    "city": "ncr",    "max_restaurants": 100,    "radius_km": 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.all",  "input": {    "center_latitude": 28.6315,    "center_longitude": 77.2167,    "city": "ncr",    "max_restaurants": 100,    "radius_km": 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

With Upscrape, get the Zomato all restaurants for center latitude "28.6315", center longitude "77.2167" and city "ncr". 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.

Zomato

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Questions

Zomato All 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 All 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?

Every input is optional; the input fields below list what each one does.

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.all, checks its price and runs it with the same credits as the REST API.

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