Zomato Scraper

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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.

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.

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

Supported Cities

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

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.

Output Fields

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

Cuisine & Category ID Reference

Common cuisine IDs for the cuisine filter:

Common category IDs for the category filter:

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.

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"
}
}