Zomato Scraper

Scrape restaurant data from Zomato for major Indian and UAE cities. Get structured JSON with cuisines, ratings, cost-for-two, location, phones, timings, features, photos, and more — up to 9 restaurants per URL, ready for food-tech research, market analysis, lead lists, and directory building.

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What This Actor Does

The Zomato Scraper extracts restaurant listings and full details from Zomato.com using two complementary modes:

• URL mode — paste any Zomato city, cuisine, locality, or search URL.
• Filter builder mode — pick a city and optional filters (cuisine, category, rating, sort, cost range) and the actor constructs the URL for you.

Both modes can be combined in a single run. Optional Expand Cuisines and Expand Localities toggles fan out across dozens of URLs for wider coverage of a single city.

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Key Features

• Structured JSON output — 30+ fields per restaurant, grouped by topic
• India + UAE coverage — 13 supported cities verified live (Mumbai, NCR/Delhi, Bangalore, Pune, Hyderabad, Chennai, Kolkata, Ahmedabad, Jaipur, Lucknow, Dubai, Abu Dhabi, Sharjah)
• Four surfaces — Dining Out, Delivery, Cafes, Drinks & Nightlife
• Rich filters — cuisine ID, category ID, minimum rating, sort order, cost range
• Full restaurant detail — address, lat/long, phones, cost for two, top dishes, known-for, features, timings
• Expand modes — auto-fan-out across top cuisines or locality pages for a city
• Fault tolerant — per-URL retries, optional continue-on-failure
• No browser — pure HTTP, fast and lightweight

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Supported Cities

Country	Cities
India	Mumbai, NCR (Delhi), Bangalore, Pune, Hyderabad, Chennai, Kolkata, Ahmedabad, Jaipur, Lucknow
UAE	Dubai, Abu Dhabi, Sharjah

Zomato withdrew from other international markets in 2020. URLs for London, NYC, Sydney, etc. are rejected with a clear error.

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How to Use

URL mode

Paste any of these URL shapes:

• https://www.zomato.com/mumbai/restaurants
• https://www.zomato.com/ncr/delivery
• https://www.zomato.com/dubai/cafes
• https://www.zomato.com/bangalore/drinks-and-nightlife
• https://www.zomato.com/mumbai/restaurants/biryani
• https://www.zomato.com/mumbai/bandra-west-restaurants
• https://www.zomato.com/mumbai/restaurants?cuisine=55&rating=4.5

Each URL returns up to 9 restaurants (Zomato's server-side cap). Use Expand modes or supply multiple URLs for wider coverage.

Filter builder mode

1. Pick a City (e.g. mumbai).
2. Pick a Search Mode (dining, delivery, cafes, nightlife).
3. Optionally set Cuisine, Category, Min Rating, Sort, Min/Max Cost.
4. Run. The actor constructs a single URL under the hood and scrapes it.

Expand modes

• Expand Cuisines — fans out across ~15 top cuisines for the chosen city (≈135 restaurants).
• Expand Localities — fans out across locality pages Zomato exposes for the chosen city.

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Output Fields

Every field below is guaranteed present — missing data is represented as "", 0, [], or empty object — never null.

Field	Type	Description
id	int	Zomato restaurant ID
name	string	Restaurant name
url	string	Absolute Zomato URL
type	string	Always "restaurant"
cuisines	string	Comma-joined cuisine names
establishments	array	[{id, name}] establishment types
status	string	Human-readable (e.g. "Open now")
timing	string	Opening hours description
is_delivery_only	bool
is_perm_closed	bool
location.address	string
location.locality	string
location.locality_verbose	string
location.city	string
location.city_id	int
location.country	string
location.country_id	int
location.zipcode	string
location.latitude	float
location.longitude	float
location.map_url	string	Static map image URL
ratings.aggregate	float	Overall rating
ratings.text	string	e.g. "Very Good"
ratings.votes	int	Review count
ratings.dining	float	Dining-only rating
ratings.delivery	float	Delivery rating (0 if not offered)
reviews.count	int
price.for_two	int	Cost for two
price.currency	string	"₹" for India, "AED" for UAE
price.cft_text	string	Formatted cost for two
phones	array of string
photo.url / photo.thumb	string	Main restaurant photo
images	array	[{url, thumb}]
image_count	int
features	object	{feature_slug: bool}
highlights	array of string
known_for	string
top_dishes	array of string
social.website	string
search_context.source_url	string	Which input URL produced this record
search_context.city_slug	string
search_context.scraped_at	string	ISO8601 UTC

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Cuisine & Category ID Reference

Common cuisine IDs for the cuisine filter:

ID	Cuisine	ID	Cuisine
1	American	60	Japanese
25	Chinese	66	Lebanese
35	Continental	73	Mexican
40	Fast Food	82	Pizza
50	North Indian	85	South Indian
55	Italian	95	Thai

Common category IDs for the category filter:

ID	Category	ID	Category
1	Delivery	7	Daily Menus
2	Fine Dining	8	Breakfast
3	Nightlife	10	Dinner
4	Catching-Up	11	Pubs and Bars
5	Takeaway	13	Pocket-Friendly Delivery
6	Cafes	14	Clubs and Lounges

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FAQ

Why is the max 9 restaurants per URL? Zomato's public search surface caps at 9 results per page and does not honour pagination parameters. This is a server-side constraint. To get wider coverage, supply more URLs (one per cuisine/locality/category) or use the Expand Cuisines / Expand Localities toggles.

Why are some cities not supported? Zomato withdrew from many international markets (US, UK, Australia, etc.) in 2020. Only India and UAE have active, reliable data today. The actor validates city input against a live-verified allow-list.

Does the actor use proxies or cookies? No. It runs purely on unauthenticated HTTP against Zomato's public endpoints.

What happens if a URL fails? By default, the actor retries twice with exponential backoff. If retries are exhausted, it logs a warning and continues with the next URL (ignore_url_failures=true). Set ignore_url_failures=false to fail the run on any URL failure.

Why are menu items and review text not in the output? Zomato's current public webroutes API no longer exposes dish-level data, review text, or wishlist counts. They were available on the deprecated v2 developer API. The actor only emits fields we can populate reliably so the output is never null.

How do I scrape reviews? Review scraping is out of scope for this actor — it would require a separate, dedicated review-fetcher with cursor-based pagination.

Can I batch multiple cities in one run? Yes. Pass multiple URLs in start_urls, or combine start_urls + a city selection.

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Output Example

{
  "id": 22244281,
  "name": "Luna Et Sol",
  "url": "https://www.zomato.com/mumbai/luna-et-sol-lower-parel/info",
  "type": "restaurant",
  "cuisines": "Italian, Continental",
  "establishments": [{"id": 18, "name": "Fine Dining"}],
  "status": "Open now",
  "timing": "12midnight – 1am, 12noon – 1am (Mon-Sun)",
  "is_delivery_only": false,
  "is_perm_closed": false,
  "location": {
    "address": "Lower Parel, Mumbai",
    "locality": "Lower Parel",
    "locality_verbose": "Lower Parel, Mumbai",
    "city": "Mumbai",
    "city_id": 3,
    "country": "India",
    "country_id": 1,
    "zipcode": "",
    "latitude": 19.004,
    "longitude": 72.830,
    "map_url": "https://maps.zomato.com/php/staticmap?..."
  },
  "ratings": {
    "aggregate": 4.4, "text": "Very Good", "votes": 903,
    "dining": 4.4, "delivery": 0
  },
  "reviews": {"count": 903},
  "price": {"for_two": 3500, "currency": "₹", "cft_text": "₹3,500 for two"},
  "phones": ["+91 22XXXXXXXX"],
  "photo": {"url": "https://b.zmtcdn.com/...", "thumb": "https://b.zmtcdn.com/..."},
  "images": [{"url": "…", "thumb": "…"}],
  "image_count": 12,
  "features": {"outdoor-seating": true, "credit-card": true},
  "highlights": ["Fine Dining", "Rooftop"],
  "known_for": "Ambience, Italian Food",
  "top_dishes": ["Truffle Pasta", "Tiramisu"],
  "social": {"website": "https://www.zomato.com/mumbai/luna-et-sol-lower-parel/info"},
  "search_context": {
    "source_url": "https://www.zomato.com/mumbai/restaurants",
    "city_slug": "mumbai",
    "scraped_at": "2026-04-11T10:30:00+00:00"
  }
}