Zomato Scraper — Restaurants, Phones, Menus & Reviews

Scrape restaurants from Zomato (India and other Zomato countries) by city, area, delivery address, cuisine, collection or URL. Every restaurant comes back as one clean row: dining and delivery ratings with review counts, cost for two, phone numbers, full address, pincode, GPS coordinates, opening hours, amenities, payment methods, popular dishes, dining offers, photos and menu-card images. Optionally add the delivery menu (one row per dish) and reviews.

No Zomato account, cookies or login needed. Just type a city and press Start.

What you can scrape

Input	Example	What you get
City	ncr, mumbai, bangalore, pune, Delhi, Bengaluru	All restaurants Zomato lists for the city
Listing	Dining out / Delivery / Nightlife	The matching Zomato tab
Areas or delivery addresses	Koramangala, Bangalore, Bandra West, Mumbai, a full street address	Restaurants around that place. With Delivery, the restaurants that deliver to that address, with delivery time and distance
Cuisines	North Indian, Biryani, Chinese, Cafe	One search per cuisine in your city / areas
Zomato URLs	/bangalore/indiranagar-restaurants, /pune/restaurants/biryani, /ncr/drinks-and-nightlife, /ncr/insta-worthy, /ncr/restaurants/haldirams, a restaurant page	Any listing, collection, chain or single restaurant

Go beyond 500 results per city

Zomato's own listing stops at about 500 dine-out restaurants per search, even in a city with 25,000. This scraper automatically splits large searches by sort order and by cuisine and removes duplicates, so you can collect thousands of restaurants from one city. Duplicates are never saved or charged twice.

City-wide delivery coverage

Each delivery address only sees the restaurants that deliver there. Set Delivery grid radius (for example 10 km, every 3 km) and the scraper searches a grid of points around the city center or around each address you give, merging everything into one de-duplicated list.

Output

One row per restaurant (dataType: "restaurant"):

{
  "dataType": "restaurant",
  "resId": 311057,
  "name": "My Bar Headquarters",
  "url": "https://www.zomato.com/ncr/my-bar-headquarters-connaught-place-new-delhi",
  "city": "New Delhi",
  "citySlug": "ncr",
  "country": "India",
  "locality": "Connaught Place, New Delhi",
  "address": "N-49, SF, CP, Chankya Puri, Connaught Place, New Delhi",
  "pincode": "110001",
  "latitude": 28.6306766,
  "longitude": 77.219722,
  "phones": ["+919873773747", "+917838000006"],
  "cuisines": ["North Indian", "Chinese", "Pizza", "Desserts"],
  "costForTwo": "₹3,000 for two",
  "costForTwoValue": 3000,
  "currency": "INR",
  "costNote": "₹3,000 for two people (approx.) with alcohol; ₹129 for a pint of beer (approx.) | The cost for two is computed as follows: 6 pints of beer + 2 appetizers…",
  "rating": 3.9,
  "ratingText": "Good",
  "votes": 6861,
  "diningRating": 3.9,
  "diningReviews": 6861,
  "deliveryRating": 3.1,
  "deliveryReviews": 21,
  "hasDineout": true,
  "hasDelivery": true,
  "statusText": "Open now",
  "timings": "11am – 1am (Today)",
  "openingHours": [{ "days": "Mon-Sun", "timing": "11am – 1am" }],
  "isPermClosed": false,
  "isTempClosed": false,
  "highlights": ["Lunch", "Dinner", "Takeaway available", "Full bar available", "Live music", "Smoking area"],
  "paymentMethods": ["Cash and Cards accepted", "Digital payments accepted"],
  "topDishes": ["Bloody Mary", "Pina Colada", "Lemon Chicken", "Honey Chilli Potatoes"],
  "peopleSay": ["Band Playing", "No Cover Charge", "Good Bar", "Hookahs"],
  "diningOffers": ["PRE-BOOK OFFER — Flat 10% OFF — Valid from 12:30PM to 11:55PM today Booking required"],
  "menuImages": [{ "label": "Food", "pages": 2, "thumbnailUrl": "https://b.zmtcdn.com/…" }],
  "photos": ["https://b.zmtcdn.com/data/pictures/…jpg"],
  "chainText": "See all 4 My Bar Headquarters outlets in Delhi NCR",
  "isPromoted": true,
  "distance": "1.1 km",
  "deliveryTime": null,
  "offers": [],
  "sourceSearch": "ncr · dineout",
  "detailsScraped": true,
  "scrapedAt": "2026-09-24T06:47:21.484Z"
}

With Delivery menu on, one row per dish (dataType: "menuItem"):

{
  "dataType": "menuItem",
  "resId": 20358318,
  "restaurantName": "Jumboking Burgers",
  "restaurantUrl": "https://www.zomato.com/mumbai/jumboking-burgers-1-matunga-east",
  "itemId": "ctl_795808116",
  "name": "Mumbai Burger",
  "description": "A Mumbai-style authentic patty, layered with onions, and a creamy mayo in a toasted bun.",
  "category": "Classic Burgers",
  "isVeg": true,
  "isBestseller": false,
  "isSpicy": false,
  "dishType": null,
  "tags": [],
  "price": null,
  "priceLoginBlocked": true,
  "imageUrl": "https://b.zmtcdn.com/data/dish_photos/…png"
}

The restaurant row then also carries menuItemCount, fssaiLicense and addOnGroups (customisation / add-on options with prices).

With Reviews on, one row per review (dataType: "review"): reviewId, rating, ratingType (DINING / DELIVERY), reviewText, timestamp ("5 hours ago"), reviewedAt (ISO date), likeCount, commentCount, photos, tags, ownerReplies, reviewUrl, plus the restaurant's resId, restaurantName and restaurantUrl. Reviewer names are left out unless you turn on Include reviewer names.

Use the Restaurants, Menu items and Reviews views in the dataset, or filter on dataType in your export.

Use cases

• Lead generation — restaurant names, phone numbers, addresses and pincodes for sales teams selling to restaurants (POS, payments, suppliers, marketing agencies).
• Market research — how many North Indian restaurants in Koramangala, average cost for two per area, rating distribution by cuisine.
• Delivery coverage analysis — which restaurants deliver to a given address, delivery times and discounts, compared across neighbourhoods.
• Competitor tracking — ratings, review counts and offers of chains and competitors over time (schedule the actor daily or weekly).
• Mapping — GPS coordinates for every outlet, ready for maps and catchment studies.
• Menu intelligence — dishes, categories, veg / non-veg split and bestsellers across restaurants.

Tips

• Faster runs: turn off Full restaurant details if you only need names, ratings, cuisines, cost and locality — the listing alone is several times faster.
• Big cities: leave Go beyond 500 per search on and set Max restaurants to what you need. Delhi NCR alone lists over 25,000 dine-out restaurants.
• Delivery for a whole city: Listing = Delivery, City = bangalore, Delivery grid radius = 10.
• One area only: put it in Areas or delivery addresses, e.g. Indiranagar, Bangalore.

FAQ

Do I need a Zomato account? No. Everything is collected the way a visitor sees zomato.com.

Is it legal to scrape Zomato? This scraper collects only public data: the restaurant listings, restaurant pages, delivery menus and reviews that Zomato shows to any visitor who is not logged in. Collecting publicly available data is generally legal, but what you do with it matters. A restaurant's contact number can be the owner's own mobile, and with Include reviewer names turned on a review row also carries the reviewer's public Zomato name and profile link. Both count as personal data, so have a legitimate reason to use them and follow the privacy rules that apply to you (GDPR, PIPEDA, CCPA, India's DPDP Act or similar) as well as Zomato's terms. If you are unsure, check with a lawyer. More background: Is web scraping legal?

Does it access any private data? No. The scraper never logs in and uses no account, cookie, password or saved session. It reads the same public pages anyone can open on zomato.com without signing in. It cannot see diners' profiles, orders, addresses, payment details, e-mail addresses or anything else behind Zomato's login, which is also why base dish prices are not included. Reviewer names and profile links are left out entirely unless you turn on Include reviewer names.

How am I charged? Per row saved to your dataset: one price per restaurant, and much smaller prices per menu item and per review (only when you turn those on). There is no start fee. Duplicates, restaurants that could not be found and failed requests are never charged. See the Pricing tab for current prices.

Are dish prices included? Zomato shows base dish prices only to signed-in users, so they are not included (price: null, priceLoginBlocked: true). Add-on and customisation prices are included in addOnGroups.

How many reviews can I get per restaurant? Up to 500 per sort order. Choose Newest, Oldest, Highest or Lowest first.

Which cities work? Every city on zomato.com — all Indian cities from Delhi NCR, Mumbai and Bangalore to Tier 2/3 towns, plus other Zomato countries. Use the name from the zomato.com address (e.g. ncr for Delhi NCR).

Why did I get fewer restaurants than Zomato's total? Zomato's totals include closed and inactive listings and are approximate. Turn on Go beyond 500 per search and raise Max restaurants; the scraper stops splitting once new sub-searches stop finding new restaurants.

Will I be charged for duplicates? No. Restaurants are de-duplicated before they are saved.

Proxy? The default Apify datacenter proxy works. If it is ever blocked, the run switches to residential proxies automatically.

What if Zomato is slow, blocks me, or the run hits its time limit? The run still finishes successfully with everything collected so far. Blocked requests are retried on fresh IPs (with an automatic residential fallback); near the time limit the scraper stops on its own, saves the restaurants it already found (those still waiting for their detail page are saved with the listing data and detailsScraped: false), and says so in the status message. You are only charged for rows that were actually saved.

Can I paste a zoma.to share link? Yes — short links from the Zomato app are followed to the full zomato.com page.