Swiggy Scraper — Restaurants, Menus, Ratings & Offers (India)

$0.002 per restaurant · optional menu $0.002 when dishes land · no browser, pure HTTP

Scrape Swiggy restaurants across 20+ Indian cities. Browse a whole city or search a keyword, and get one clean row per restaurant: name, Swiggy rating and rating count, cuisines, cost for two, locality, delivery time, distance, live discount offers — plus the Google rating Swiggy displays alongside its own. Turn includeMenu on for dishes and prices.

Why use this scraper

• Two ratings per restaurant. Swiggy's own score and the Google aggregate it surfaces, so you can compare platform sentiment against the wider web in one row.
• Live commercial signals. Current discount offers, delivery ETA, distance and open/closed state — the fields that actually change day to day.
• City or keyword. Take a city's full listing, or search "biryani" across several cities in one run.
• Anywhere in India. 20+ cities built in, and any other point can be reached with explicit coordinates.
• No browser. Pure HTTP against Swiggy's own JSON API — fast and cheap to run.
• Menus on request. includeMenu pulls the mobile catalog (/mapi/menu/pl). The web menu route is a dead 202; this one still answers. Billed only when menu[] is non-empty.

Supported inputs

Input	Example	Notes
City	picked from a dropdown	20 cities built in
Keyword	pizza, biryani	Searched per city
Coordinates	19.1136, 72.8697, Andheri	Neighbourhoods or unlisted cities
Google Maps link	https://www.google.com/maps/@19.11,72.86,15z	Coordinates are read out of the URL

Cities are chosen from a dropdown, so there is nothing to spell: Mumbai, Delhi NCR, Gurgaon, Noida, Bengaluru, Hyderabad, Chennai, Kolkata, Pune, Ahmedabad, Jaipur, Lucknow, Chandigarh, Kochi, Indore, Surat, Nagpur, Bhopal, Coimbatore, Vadodara. Anywhere else is reachable through custom coordinates.

Use cases

• Track competitor ratings, pricing bands and discounts across a city.
• Build restaurant lead lists by cuisine and locality.
• Monitor how aggressively chains discount, and when.
• Compare Swiggy ratings against Google ratings for the same venue.
• Market research on cuisine mix and delivery coverage by neighbourhood.

How it works

1. Resolve — each city becomes a latitude/longitude, because Swiggy's API is coordinate-driven rather than slug-driven.
2. Fetch — the city listing or keyword search is pulled from Swiggy's JSON API.
3. Extract — restaurants are collected from Swiggy's nested card tree, de-duplicated by id, and written one row each.

Input configuration

Field	Type	Default	Description
cities	array	["mumbai"]	Chosen from the built-in dropdown
queries	array	—	Keywords searched per city
coordinates	array	—	lat, lng per line — optional label, or paste a Google Maps URL
maxItems	integer	100	Hard cap on rows
includeMenu	boolean	false	Fetch dishes + prices per restaurant
maxMenuItems	integer	50	Cap on dishes kept on the row
maxConcurrency	integer	3	Keep low — Swiggy blocks aggressive clients
proxy	object	none	Optional; add your own if blocked at volume

Minimal input:

{
    "cities": ["mumbai"],
    "maxItems": 50
}

Output — key fields

Field	Description
restaurantId, name, url	Swiggy id, name and page URL
rating, ratingCount	Swiggy rating and how many ratings
googleRating, googleRatingCount	Google rating as shown on Swiggy
cuisines, costForTwo	Cuisine list and typical spend for two
locality, area, city	Location
deliveryTimeMins, deliveryTimeText, distanceKm	Delivery signals
offer	Current discount, e.g. "70% OFF · UPTO ₹140"
isOpen, isVeg	Status flags
imageUrl	Restaurant image
menu[], menuItemCount, menuSource	Dishes when includeMenu is on
avgMenuPrice, cheapestItem, mostExpensiveItem	Price summary from the catalog

Output sample

{
    "restaurantId": "448490",
    "name": "Barbeque Nation",
    "url": "https://www.swiggy.com/city/mumbai/barbeque-nation-rest448490",
    "rating": 3.5,
    "ratingCount": "1.5K+",
    "cuisines": ["North Indian", "Barbecue", "Kebabs", "Biryani"],
    "costForTwo": "₹600 for two",
    "locality": "Bandra East",
    "area": "Bandra Kurla Complex",
    "deliveryTimeMins": 21,
    "deliveryTimeText": "20-25 mins",
    "distanceKm": "1.1 km",
    "isOpen": true,
    "offer": "70% OFF · UPTO ₹140",
    "googleRating": "4.0",
    "googleRatingCount": "1.8K+"
}

Pricing

Pay-per-event: $0.002 per restaurant row, plus $0.002 per restaurant with a non-empty menu, plus a $0.005 actor-start fee per GB of run memory. 100 restaurants without menus cost $0.20.

FAQ

Which countries? India only — that is Swiggy's market.

Are menus included? Yes, when you set includeMenu: true. The web menu URL (/dapi/menu/pl) still returns an empty 202. The actor uses the mobile catalog (/mapi/menu/pl) instead. If that call is blocked, menuSource is unavailable and the menu event is not charged.

Are reviews included? No — Swiggy does not publish review text on its public API, only aggregate ratings. For restaurant reviews with full text, use a Zomato scraper.

Do I need a proxy? Not usually. Swiggy's listing API answers without one; add your own if you hit blocks at high volume.

My city isn't in the dropdown. Put its coordinates in the coordinates input, one per line as 19.1136, 72.8697. Add a name if you want it on every row (19.1136, 72.8697, Andheri), or simply paste a Google Maps URL and the coordinates are read out of it. Entries that are not usable are reported in the log with the reason, and a point outside India is flagged because Swiggy does not operate there.

How many restaurants per city? Swiggy reports roughly 2,000 per major city; a single listing call returns the first page, and keyword searches widen the net.

Support

Found a bug or need another field? Open an issue on the Actor's Issues tab — it is monitored.

🤖 For AI Agents & LLM Apps

Purpose: Turn an Indian city or keyword into structured Swiggy restaurant rows with two independent ratings, pricing band and live offers. Browser-free.

Minimal input (tested):

{ "cities": ["mumbai"], "maxItems": 20 }

Behaviors agents should know:

• One row per restaurant, de-duplicated by restaurantId across cities and queries.
• rating is Swiggy's (numeric); googleRating is a string and may be absent.
• Billing is restaurant-result at $0.002; restaurant-menu at $0.002 fires only when menu[] is non-empty. Bound spend with maxItems.
• cities is a fixed enum of 20 slugs (mumbai, delhi, bangalore, …); anything else belongs in coordinates, which take "lat, lng", "lat, lng, label", a Google Maps URL, or the {lat,lng,label} object form.
• includeMenu defaults false. Review text is still not on the public listing API.

⚠️ Disclaimer

This Actor collects only publicly available restaurant listing and catalog data from Swiggy — no logins, paywalls or access controls are bypassed. Use the data in compliance with Swiggy's Terms of Service and applicable law. You are responsible for how you use the output.

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