FOOD & DINING

Extract Zomato Data

Restaurant listings, cuisines, ratings, and cost from Zomato, by city.

Tell AuraCrawl what you want from Zomato — "every restaurant in this city with cuisine, dining and delivery ratings, and cost for two," or a single restaurant’s full detail. We read the city listing and the restaurant-info surface directly, separating the dining rating from the delivery rating the way the app does.

What a response looks like

REQUEST

ask“Tell AuraCrawl what you need from Zomato in plain language — which entities, which fields, how often. That sentence is the spec.”

zomato-sample.json
{
  "res_id": "21525125",
  "name": "Cajsa - ITC Gardenia",
  "cuisine": [
    "International"
  ],
  "locality": "Residency Road",
  "dining_rating": 4.6,
  "dining_votes": 160,
  "delivery_rating": null,
  "cost_for_two": "₹3,500 for two"
}
Real capture from Zomato, 2026-08-30. Markets move — treat the values as a point in time, not a quote.

What you can extract

  • Restaurant names, cuisines, and localities
  • Dining rating and delivery rating, kept separate
  • Rating and review counts
  • Cost-for-two and price bracket
  • Per-restaurant detail: timings, status, contact
  • City-wide listings and single-restaurant lookups

PIPELINE Zomato ships its city listings in the page itself and its detail through a clean route — an Open-tier target for both list and lookup.

Request Zomato data.

Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.