Pricing

from $10.00 / 1,000 results

Zomato Restaurant Scraper - India

Scrape restaurant data from Zomato India. Browse restaurants by city, filter by cuisine. Get names, addresses, ratings, reviews, cuisines, price range, phone, GPS, and hours.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

lulz bot

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Zomato Restaurant Scraper

Scrape restaurant data from Zomato, India's leading food discovery platform. Extract ratings, reviews, cuisines, prices, addresses, phone numbers, GPS coordinates, and opening hours.

Note: Zomato is India-only. US and other non-Indian cities redirect to a goodbye page. Use Indian city slugs only.

Features

City browsing - Scrape restaurants from any Indian city
Cuisine filter - Filter by cuisine type (Chinese, Italian, North Indian, etc.)
JSON-LD extraction - Leverages structured data for reliable, rich output
Detail pages - Optional deep scrape for phone, hours, GPS, full address
Pagination - Automatically follows pages up to your result limit

Input

Field	Type	Default	Description
`city`	string	`mumbai`	Indian city slug (e.g. mumbai, delhi-ncr, bangalore, hyderabad, pune, kolkata, chennai)
`cuisine`	string	-	Optional cuisine filter (e.g. chinese, italian, north-indian, biryani, pizza, cafe)
`maxResults`	integer	`50`	Maximum number of restaurants to scrape
`scrapeDetails`	boolean	`false`	Visit detail pages for richer data (phone, hours, GPS). Slower.
`proxyConfiguration`	object	-	Optional proxy settings

Output

Each result includes:

Field	Description
`businessName`	Restaurant name
`address`	Full address
`city`	City name
`latitude`	GPS latitude
`longitude`	GPS longitude
`rating`	Average rating (0-5 scale)
`reviewCount`	Number of reviews/ratings
`cuisines`	Array of cuisine types
`priceRange`	Price range indicator
`phone`	Phone number (detail pages)
`openingHours`	Opening hours (detail pages)
`menuUrl`	Link to menu page
`imageUrl`	Restaurant image URL
`url`	Zomato restaurant page URL
`scrapedAt`	ISO timestamp of when the data was scraped

Usage Examples

Browse Mumbai restaurants

{
    "city": "mumbai",
    "maxResults": 50
}

Chinese restaurants in Bangalore

{
    "city": "bangalore",
    "cuisine": "chinese",
    "maxResults": 30
}

Detailed scrape of Delhi restaurants

{
    "city": "delhi-ncr",
    "maxResults": 20,
    "scrapeDetails": true
}

Cafes in Pune

{
    "city": "pune",
    "cuisine": "cafe",
    "maxResults": 100
}

Supported Cities

Major Indian cities: mumbai, delhi-ncr, bangalore, hyderabad, pune, kolkata, chennai, ahmedabad, jaipur, lucknow, chandigarh, goa, kochi, indore, nagpur, vadodara, coimbatore, surat, visakhapatnam, and more.

How It Works

Listing pages: Scrapes zomato.com/{city}/restaurants and extracts Restaurant schema from JSON-LD structured data. The ItemList schema contains 9+ restaurants per page.
Detail pages: When scrapeDetails is enabled, visits each restaurant page to extract the full Restaurant schema including phone, opening hours, GPS coordinates, and menu URL.
JSON-LD priority: Zomato embeds rich JSON-LD data (Restaurant schema with aggregateRating, geo, servesCuisine, etc.), which is the primary extraction method.
Pagination: Follows ?page=N query parameters to scrape multiple listing pages.

Notes

Zomato is India-only -- US and other non-Indian locations will not work
No anti-bot protection detected (standard HTML responses)
SSR via React Helmet ensures JSON-LD is available without JavaScript execution
Ratings are on a 0-5 scale
GPS coordinates and phone numbers require scrapeDetails: true

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