FOOD & DINING
Extract Swiggy Data
Serviceable restaurants, cuisines, ratings, and delivery times by location.
Ask AuraCrawl for the restaurants Swiggy serves at a point — "every restaurant deliverable to this lat/long, with cuisine, rating, cost, and delivery time." Swiggy’s catalogue is geolocated, so coverage scales by sweeping a grid of points across a city rather than paging one query.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Swiggy in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"restaurant_id": "342643",
"name": "The Pizza Bakery - Wood Fired Sourdough",
"cuisine": [
"Pizzas",
"Pastas",
"Italian"
],
"rating": 4.6,
"rating_count": "7.5K+",
"cost_for_two": "₹700 for two",
"area": "Central Bangalore",
"delivery_time_minutes": 27
}What you can extract
- Restaurant names, cuisines, and areas
- Average rating and rating counts
- Cost-for-two
- Delivery time as shown to a customer at that point
- Veg / non-veg signalling
- Location-scoped coverage across a lat/long grid
PIPELINE Swiggy’s listing surface is open per location — an Open-tier target that scales by geography, not pagination.
Request Swiggy data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.