Swiggy API · Endpoint

Swiggy Restaurants Search API

Q: What do I send?

Send query. 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.search.restaurants, checks its price and runs it with the same credits as the REST API.

Search Swiggy restaurants by keyword near an Indian delivery location, with ratings, cuisines, cost for two and delivery time.

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

Start free, 100 credits API reference

Response completed

{  "summary": {    "latitude": 12.9121181,    "longitude": 77.6445548,    "query": "rolls",    "total_items": 5  },  "items": [    {      "name": "Olive Street Food Cafe",      "rating": 4.4,      "city": "1",      "ad_tracking_id": "cid=00132c9a-9bfd-43b9-b49c-cfe0163ad5c9~p=0~adgrpid=00132c9a-9bfd-43b9-b49c-cfe0163ad5c9#ag1~mp=SWIGGY_IN~bl=FOOD~aet=RESTAURANT~aeid=8567…",      "area_name": "HSR",      "cost_for_two_minor": 30000,      "cost_for_two_text": "₹300 FOR TWO",      "cuisines_text": "Burgers, Cafe",      "delivery_time_minutes": 19,      "is_open": true,      "last_mile_travel_km": 0.9,      "last_mile_travel_text": "0.9 km",      "latitude": 12.9121181,      "locality": "HSR Layout",      "longitude": 77.6445548,      "offer_text": "ITEMS",      "parent_id": "12754",      "promoted": true,      "query": "rolls",      "rating_text": "4.4",      "restaurant_id": "856738",      "serviceability": "SERVICEABLE",      "sla_text": "15-20 MINS",      "slug": "olive-street-food-cafe-hsr-hsr",      "total_ratings_text": "1.6K+",      "cuisines": [        "Burgers",        "Cafe"      ],      "offer_headers": [        "ITEMS"      ]    },    {      "name": "Faasos - Wraps, Rolls & Shawarma",      "rating": 4.1,      "city": "1",      "area_name": "HSR Layout",      "cost_for_two_minor": 20000,      "cost_for_two_text": "₹200 FOR TWO",      "cuisines_text": "Wraps, rolls, Fast Food, Burger, shawarma, Rice Bowls",      "delivery_time_minutes": 21,      "is_open": true,      "last_mile_travel_km": 1.5,      "last_mile_travel_text": "1.5 km",      "latitude": 12.9121181,      "locality": "Sector 2, 27th Main Road",      "longitude": 77.6445548,      "offer_text": "ITEMS",      "parent_id": "21809",      "query": "rolls",      "rating_text": "4.1",      "restaurant_id": "17750",      "restaurant_url": "https://www.swiggy.com/city/1/faasos-hsr-rest17750",      "serviceability": "SERVICEABLE",      "sla_text": "20-25 MINS",      "slug": "faasos-hsr",      "total_ratings_text": "25K+",      "cuisines": [        "Wraps",        "rolls"      ],      "offer_headers": [        "ITEMS"      ]    }  ]}

3 rows

#	Name	Rating	City	Area name	Cost for two minor	Cost for two text	Cuisines text	Delivery time minutes	Is open	Last mile travel km
1	Olive Street Food Cafe	4.4	1	HSR	30,000	₹300 FOR TWO	Burgers, Cafe	19	true	0.9
2	Faasos - Wraps, Rolls & Shawarma	4.1	1	HSR Layout	20,000	₹200 FOR TWO	Wraps, rolls, Fast Food, Burger, shawarma, Rice Bowls	21	true	1.5
3	Rollsking	4.1	1	Sarjapur Road	30,000	₹300 FOR TWO	Rolls & Wraps, Fast Food, Snacks, Beverages, North Indian	47	true	6.2

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
query	string	yes	Search keyword.	rolls
latitude	number	no	Latitude of the location.	12.9121181
limit	integer	no	Maximum number of results.	5
longitude	number	no	Longitude of the location.	77.6445548
metadata	string	no	Additional metadata.
query_unique_id	string	no	Unique query identifier.
selected_tab	string	no	Selected search tab.
tracking_id	string	no	Tracking identifier.

Response

Fields it returns

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

Field	Type	Example
items[].name	string	Olive Street Food Cafe
items[].rating	number	4.4
items[].city	string	1
items[].ad_tracking_id	string	cid=00132c9a-9bfd-43b9-b49c-cfe0163ad5c9~p=0~adgrpid=00132c9a-9…
items[].area_name	string	HSR
items[].cost_for_two_minor	integer	30,000
items[].cost_for_two_text	string	₹300 FOR TWO
items[].cuisines	array	Burgers, Cafe
items[].cuisines_text	string	Burgers, Cafe
items[].delivery_time_minutes	integer	19
items[].is_open	boolean	true
items[].last_mile_travel_km	number	0.9
items[].last_mile_travel_text	string	0.9 km
items[].latitude	number	12.91
items[].locality	string	HSR Layout
items[].longitude	number	77.64
items[].offer_headers	array	ITEMS
items[].offer_text	string	ITEMS
items[].parent_id	string	12754
items[].promoted	boolean	true
items[].query	string	rolls
items[].rating_text	string	4.4
items[].restaurant_id	string	856738
items[].serviceability	string	SERVICEABLE
items[].sla_text	string	15-20 MINS
items[].slug	string	olive-street-food-cafe-hsr-hsr
items[].total_ratings_text	string	1.6K+
items	array	3 records
summary	object	4 fields
summary.latitude	number	12.91
summary.longitude	number	77.64
summary.query	string	rolls
summary.total_items	integer	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.search.restaurants",  "input": {    "latitude": 12.9121181,    "limit": 5,    "longitude": 77.6445548,    "query": "rolls"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "swiggy.search.restaurants",  "input": {    "latitude": 12.9121181,    "limit": 5,    "longitude": 77.6445548,    "query": "rolls"  }}''')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.search.restaurants",  "input": {    "latitude": 12.9121181,    "limit": 5,    "longitude": 77.6445548,    "query": "rolls"  }}),});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 search for latitude "12.9121181", longitude "77.6445548" and query "rolls". 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 Search 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 Search 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 query. 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.search.restaurants, checks its price and runs it with the same credits as the REST API.

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