FOOD & RESTAURANT DATA SCRAPING

Every menu, price
and rating, by city.

// THE SHORT ANSWER

Food and restaurant data scraping extracts food-delivery data — restaurants, full menus, dish-level prices, combos, delivery fees, ratings and availability — across Zomato, Swiggy, DoorDash, Uber Eats and more, city by city. iWeb Data Scraping delivers it QA-verified as CSV, JSON or API, so restaurant chains and aggregators see how competitors price menus location by location and re-price on evidence.

Get free sample in 48h See the data
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Restaurant listings
  • Data point: Full menu & dishes
  • Data point: Dish-level prices
  • Data point: Combos & bundles

Food delivery is hyperlocal and dynamic — chains price the same dish differently by city and outlet, with combos and delivery fees layered on. A chain pricing one national menu is blind to how rivals actually price locally. Food data scraping makes competitor menus legible, city by city.

We capture dish-level menus, prices, combos, ratings and availability across Zomato & Swiggy, DoorDash and more, powering menu intelligence — the engine behind an 11% revenue lift across 2,000+ outlets.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

Dish-level, city by city.

Restaurant listings
Full menu & dishes
Dish-level prices
Combos & bundles
Delivery fees
Ratings & reviews
Availability & hours
Cuisine & category
Offers & discounts
Delivery time
City & locality
New restaurants
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Food-delivery feed — restaurant, dish, price, rating, city.
platform restaurant dish price rating city captured_at
Zomato Pizza Palace Margherita 299 4.3 Mumbai 2026-07-08
Swiggy Pizza Palace Margherita 289 4.2 Mumbai 2026-07-08
Zomato Burger Hub Classic Combo 249 4.4 Delhi 2026-07-08
Swiggy Biryani House Chicken Biryani 349 4.5 Hyderabad 2026-07-08
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

RESTAURANT REVENUE

Re-price weekly, not quarterly

City-level competitor menu pricing — the 11% revenue-lift engine.

AGGREGATOR / CLOUD KITCHEN

Map the market

Competitor menus, pricing and ratings across cities at a glance.

MARKET RESEARCH

Food-delivery trends

Cuisine trends, pricing shifts and new-restaurant velocity.

RELATED:Zomato & Swiggy Scraping →Menu & Catalog Intelligence →DoorDash Scraping →
FAQ

Before the first call.

Restaurant listings, full menus, dish-level prices, combos and bundles, delivery fees, ratings and reviews, availability and hours, cuisine and category, offers and discounts, delivery times, city/locality and new-restaurant listings — across Zomato, Swiggy, DoorDash, Uber Eats and other platforms.

Because chains price hyperlocally — different prices, combos and fees by city and outlet. A single national menu is overpriced in some zones and underpriced in others simultaneously. City-level competitor data shows exactly where to raise prices and where to defend volume.

Zomato and Swiggy in India, DoorDash and Uber Eats in the US, Deliveroo and others internationally, plus direct restaurant sites. Most clients track multiple platforms together with restaurants and dishes matched across them.

Thousands of outlets across all cities of operation — one engagement covered 2,000+. Coverage scales with the platforms, cities and competitor chains you name, benchmarked dish-to-dish for direct comparison.

Get a free sample dataset in 48 hours.