Zomato Scraper — Restaurants, Ratings & Reviews (India & Dubai)

$0.002 per restaurant · $0.001 per review · $0.0002 per menu item · no browser, pure HTTP · restaurants, menus and reviews in one Actor

Scrape Zomato restaurants and their reviews across India and Dubai. Give a city, a search keyword, or paste any Zomato URL, and get clean rows with name, rating, votes, cuisines, cost for two, opening hours, full address, GPS coordinates and phone numbers — plus, optionally, paginated reviews with the full review text, rating, date and reviewer profile.

Why use this scraper

• Restaurants, menus and reviews in one Actor. Most Zomato scrapers do one of the three; here menus and reviews are toggles on the same run, so everything about a restaurant comes from a single job.
• Reviews priced to actually use at scale. $0.001 per review, versus $0.00299 plus a $0.09 per-run start fee elsewhere. A 100-review pull costs about $0.11 instead of ~$0.39.
• Contact-grade detail. Phone numbers, GPS latitude/longitude, postcode and full street address on every restaurant — not just names and ratings.
• No browser. Pure HTTP against Zomato's own JSON routes, so runs are fast and cheap. It works without a proxy; plug your own residential proxy in only if you hit rate limits at scale.
• Honest coverage. Zomato has exited most international markets. This Actor targets what is actually live — India and Dubai — instead of advertising dead cities.

Supported inputs

Input	Example	Notes
City slug	mumbai, ncr, bangalore, kolkata, dubai	ncr is Delhi NCR
Search keyword	pizza, biryani	Searched within each city
City listing URL	https://www.zomato.com/mumbai/restaurants	Expanded to restaurants
Restaurant URL	https://www.zomato.com/mumbai/leopold-cafe-colaba	Scraped directly; /order, /reviews and /info tails are fine

Coverage note: Zomato operates in India (all cities) and Dubai. Other countries — UK, Singapore, Australia, Turkey, Indonesia, Malaysia, Qatar, Sri Lanka, the Philippines, New Zealand, South Africa — were shut down by Zomato and return no data anywhere.

Use cases

• Track competitor ratings, review sentiment and cost positioning across a city.
• Build restaurant lead lists with phone numbers and exact coordinates.
• Feed review text into sentiment analysis, LLM summarisation or RAG pipelines.
• Monitor how a chain's outlets are rated across localities.
• Market research on cuisine mix and price bands by neighbourhood.

How it works

1. Resolve — city slugs and keywords become Zomato listing paths; pasted URLs are classified as listing or restaurant.
2. Expand — each listing is read through Zomato's page JSON route and its restaurant cards are collected (cost for two and cuisines ride along from the card).
3. Detail & reviews — every restaurant page is fetched for ratings, contact and location; with reviews enabled, the review route is paged until the per-restaurant cap is reached. Rate limits (HTTP 429) trigger exponential backoff, and a fresh exit IP when a proxy is configured.

Input configuration

Field	Type	Default	Description
cities	array	["mumbai"]	Zomato city slugs
queries	array	—	Keywords searched per city
startUrls	array	—	Any Zomato listing or restaurant URLs
maxItems	integer	100	Hard cap on restaurant rows
scrapeMenu	boolean	false	Also fetch the menu (billed per item; no prices — see below)
scrapeReviews	boolean	false	Also fetch reviews (billed per review)
maxReviewsPerRestaurant	integer	20	Review cap per restaurant
reviewsSort	string	newest	newest, popular, highest, lowest
maxConcurrency	integer	5	Keep low — Zomato rate-limits hard
proxy	object	none	Optional — add your own proxy only if rate-limited

Minimal input:

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

Output — key fields

Restaurant row

Field	Description
resId, name, url	Zomato restaurant id, name and canonical URL
rating, ratingText, votes, reviewCount	Aggregate rating, its label and vote count
cuisines, costForTwo	Cuisine list and typical spend for two
address, locality, city, country, zipcode	Full location
latitude, longitude	GPS coordinates
phones	Published phone numbers
timings, statusText	Opening hours and current open/closed state
isPermanentlyClosed, isTemporarilyClosed, isDeliveryOnly	Status flags
chain, thumbnail	Chain hint and image

Menu items (when scrapeMenu is on) — attached to the restaurant row as menuItems[]

Field	Description
itemId, name, description	The dish
category, menuName	Where it sits in the menu
isVeg, dietaryTags	Vegetarian flag and dietary labels
imageUrl	Dish photo when Zomato has one
menuPricesAvailable	Always false — see the price note below

Menu prices are not included. Zomato withholds menu prices from signed-out visitors (its payload sets price_login_blocker and carries no price field). This Actor does not bypass logins, so menu items ship with names, descriptions, categories and dietary tags — but no prices. If you need priced menus, a Talabat scraper is the better fit for that market.

Review row (when scrapeReviews is on)

Field	Description
reviewId, resId, restaurantName, restaurantUrl	Review and its restaurant
rating, reviewText, timestamp, reviewUrl	The review itself
userName, userProfileUrl, userProfilePic	Reviewer identity
userReviewCount, userFollowers	Reviewer credibility signals
likesCount, commentsCount, photos	Engagement and attached photos

Output samples

{
    "resId": 20597081,
    "name": "Fish Curry Rice",
    "url": "https://www.zomato.com/mumbai/fish-curry-rice-dadar-shivaji-park",
    "rating": 4.6,
    "ratingText": "Very Good",
    "votes": 1651,
    "cuisines": ["Maharashtrian", "Goan", "Seafood", "Malwani"],
    "costForTwo": "₹1,000 for two",
    "address": "Shop 3, First Floor, Kohinoor Square, NC Kelkar Marg, Dadar Shivaji Park, Mumbai",
    "city": "Mumbai",
    "country": "India",
    "latitude": 19.024895,
    "longitude": 72.841919,
    "phones": ["+919028057082"],
    "timings": "11am – 11pm (Today)",
    "statusText": "Open now"
}

{
    "reviewId": 498815038,
    "resId": 20597081,
    "restaurantName": "Fish Curry Rice",
    "rating": 4,
    "reviewText": "The food was decent. Starters were really good …",
    "timestamp": "5 days ago",
    "userName": "User",
    "userProfileUrl": "https://www.zomato.com/users/user-405968657",
    "reviewUrl": "https://www.zoma.to/gPazlYR"
}

Pricing

Pay-per-event: $0.002 per restaurant, $0.001 per review and $0.0002 per menu item, plus a $0.005 actor-start fee per GB of run memory. Menus and reviews are only billed when you enable them.

Job	Cost
100 restaurants, no reviews	$0.20
100 restaurants + 20 reviews each (2,000 reviews)	$2.20
1 restaurant + 100 reviews	$0.10
1 restaurant + a 350-item menu	$0.08

FAQ

Which countries does Zomato cover? India and Dubai. Zomato shut down its other international markets, and those city pages return nothing — for UAE beyond Dubai or the wider Gulf, a Talabat scraper is the right tool.

Do I need a browser or a proxy? Neither. Zomato answers over plain HTTP and the Actor runs proxy-free by default. If you push volume and start seeing rate limiting (HTTP 429), add your own proxy in the input — the Actor backs off and rotates the exit IP automatically.

How many reviews can I get per restaurant? As many as Zomato exposes — the route is paged five at a time and the Actor keeps going until your maxReviewsPerRestaurant cap.

Can I scrape one specific restaurant? Yes. Put its URL in startUrls; /order, /reviews and /info variants all work.

Why is photos sometimes empty? Most reviews have no attached photos. The field populates when the reviewer uploaded images.

Are menus included? Yes, via scrapeMenu — item names, descriptions, categories and veg/dietary tags. Prices are the one thing Zomato does not publish to signed-out visitors, so they are not included; this Actor does not bypass logins.

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 a Zomato city, keyword or URL into structured restaurant rows and, optionally, review rows. Browser-free.

Minimal input (tested):

{ "cities": ["mumbai"], "maxItems": 20, "scrapeReviews": true, "maxReviewsPerRestaurant": 10 }

Behaviors agents should know:

• Two row types share the dataset: restaurant rows have resId without reviewId; review rows always have reviewId. Menu items are nested on the restaurant row as menuItems[], not separate rows.
• menuItems[].price does not exist — Zomato gates menu prices behind login. Do not expect it.
• Billing is restaurant-result ($0.002) and review-result ($0.001); bound spend with maxItems and maxReviewsPerRestaurant.
• Only India and Dubai return data; other cities yield nothing.
• rating on a review is 1–5; on a restaurant it is the aggregate (often fractional).

⚠️ Disclaimer

This Actor collects only publicly available restaurant and review pages from Zomato — no logins, paywalls or access controls are bypassed. Review text and reviewer profiles are personal data: use them in compliance with Zomato's Terms of Service, GDPR/DPDP and applicable law, and do not republish reviews as your own. You are responsible for how you use the output.

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