Zomato Restaurant Scraper — Ratings, Cuisine, No Login

Extract restaurant listings from Zomato by city + cuisine. Get restaurant names, localities, addresses, cuisine tags, dining and delivery ratings, cost for two, and photos — structured, deduplicated, and ready for market research, competitive analysis, or restaurant lead generation.

⚡ Part of a 69-scraper suite trusted by 450+ developers across 8,000+ runs · >99% run success · no login, no cookies, no ban risk.

💸 You're only charged for delivered results. Empty searches, failed pages and duplicate listings are never billed.

Why this scraper

Most Zomato scrapers force you onto slow, expensive residential proxies. This actor was measured to return identical results on datacenter proxy — same restaurants, same field fill rates, faster and cheaper. If page 1 is ever blocked it retries once on Indian residential automatically, so you only pay residential rates on the rare run that actually needs them.

Output fields

Field	Description
name	Restaurant name
city	City searched
locality	Locality / neighbourhood within the city
address	Full address string
cuisines	List of cuisine tags
rating_dining	Zomato dining rating (out of 5)
rating_delivery	Zomato delivery rating (out of 5)
cost_for_two	Approximate cost for two, in INR
restaurant_url	Zomato restaurant page URL
image_url	Featured photo URL
scraped_at	ISO-8601 timestamp of the scrape

Input

Field	Description	Example
city	Indian city	Mumbai, Bangalore, Hyderabad
searchQuery	Cuisine / dish (optional)	Korean, Biryani, Desserts
maxResults	Max restaurants (1–300)	30
proxyConfiguration	Proxy — datacenter default, auto-retries residential	—

{
  "city": "Bangalore",
  "searchQuery": "Korean",
  "maxResults": 30,
  "proxyConfiguration": { "useApifyProxy": true }
}

Output sample

{
  "name": "Seoul Kitchen",
  "city": "Bangalore",
  "locality": "Indiranagar",
  "address": "100 Feet Road, Indiranagar, Bangalore",
  "cuisines": ["Korean", "Asian", "BBQ"],
  "rating_dining": 4.4,
  "rating_delivery": 4.1,
  "cost_for_two": 1400,
  "restaurant_url": "https://www.zomato.com/bangalore/seoul-kitchen-indiranagar",
  "image_url": "https://b.zmtcdn.com/data/pictures/...jpg",
  "scraped_at": "2026-07-25T09:30:00Z"
}

Use cases

• Market research — map cuisine coverage, pricing tiers and rating distributions across cities.
• Competitive analysis — track competitor restaurants' ratings, delivery scores and cost positioning.
• Restaurant lead generation — build outreach lists for suppliers, aggregators and delivery services.
• Location scouting — find under-served cuisines and price points by locality.

Run it from Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("themineworks/zomato-scraper").call(run_input={
    "city": "Hyderabad",
    "searchQuery": "Biryani",
    "maxResults": 50,
    "proxyConfiguration": {"useApifyProxy": True},
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["name"], row["locality"], row["rating_dining"], row["cost_for_two"])

FAQ

Do I need a Zomato login or API key? No. The actor runs without any login, password or cookies.

Do I have to pay for residential proxy? No. It runs on datacenter proxy by default (measured to match residential on this target) and only escalates to Indian residential on the rare blocked run.

Can I get delivery vs dining ratings separately? Yes — rating_dining and rating_delivery are returned as separate fields.

Will I be charged for empty or failed runs? No. You pay only for delivered restaurant records.

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Part of the themineworks scraper suite — JustDial, IndiaMART, Naukri, AmbitionBox, Trustpilot and more India-focused data actors.