Crawlzo  /  Products  /  Food & Delivery  /  Zomato

Zomato Scraper API

Convert any Zomato restaurant page or city search into clean JSON: detailed menus, dish prices in rupees, cuisine tags, ratings, photo reviews, delivery fees, and ranked listings across Indian cities.

Restaurants & menusLive pricingReviews & ratingsGeo-segmented
▸ Overview

Zomato is a leading restaurant-discovery and food-delivery platform across India, pairing rich dining content with delivery menus that differ by city and locality. The Zomato Scraper API resolves restaurant pages and city searches into validated JSON with menus, rupee pricing, ratings, and review streams.

It is built for teams studying Indian dining trends, restaurant ratings, and delivery economics at city granularity. Menus, ratings, and fees are resolved live and segmented to the locality you target.

Zomato Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.zomato.com/",
  "type": "restaurant",
  "geo": "us-ny"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "name": "...",
    "rating": 4.5,
    "review_count": 820,
    "cuisine": "...",
    "delivery_fee": 2.99,
    "eta_min": 25,
    "menu_items": 142
  }
}
"type": "restaurant", "geo": "us-ny"
▸ What you can extract

Every public field, structured for you.

Zomato data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Restaurant / store details

  • Name, cuisine, address, coordinates
  • Rating, review count, price level
  • Hours, delivery zone, contact
  • Photos and cover imagery

Menu & items

  • Categories, items, descriptions
  • Item price, modifiers, options
  • Dietary tags and popularity
  • Item images

Reviews & ratings

  • Review text, rating, author, date
  • Rating distribution
  • Full review pagination

Delivery & pricing

  • Delivery fee and service fee
  • Minimum order and ETA
  • Promotions and offers

Search results

  • Ranked restaurants per location
  • Cuisine, price, rating filters
  • Sponsored vs. organic flag
  • Pagination across result pages
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Indian dining-trend and cuisine analysis

[ 02 ]

Restaurant rating and review monitoring

[ 03 ]

Rupee menu-price benchmarking

[ 04 ]

City and locality coverage mapping

▸ FAQ

Zomato scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

ZOMATO DATA · ON TAP

Start pulling Zomato data this week.

Tell us the Zomato surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies