Answers · Food delivery · 10 questions

Swiggy and Zomato data

Updated 25 Oct 2026 · Reviewed by Mohammad Shakir, Co-founder & CEO

Food delivery apps publish a live map of what India eats and pays, locality by locality. These answers cover collecting menu, price, rating and visibility data from Swiggy and Zomato, and what restaurants, cloud kitchens and brands do with it.

What data can I get from Swiggy and Zomato?

Public listing data: menus and item prices, restaurant ratings and review counts, delivery time estimates, fees, offers and discounts, and search visibility - per restaurant, per locality, over time.

Tracked across localities and dates, it becomes competitive intelligence for restaurants, cloud kitchens and the brands that sell through them.

How do restaurants track competitor menu prices on delivery apps?

Define the competitor set per locality, collect their menus and item prices on a schedule, and map comparable items - a "large" at one restaurant is not automatically a "large" at another.

Menu structure changes often, so the mapping needs maintenance. Price position per signature item per locality is the usable output.

Why do delivery-app prices differ from in-restaurant menus?

Restaurants commonly price higher on delivery apps to offset commissions and packaging, and run app-specific offers on top. The gap varies by restaurant and item.

If you benchmark competitors on their app prices, remember you are seeing their delivery pricing strategy, not their dine-in card.

How do cloud kitchens use delivery-app data?

To pick localities and cuisines by demand signals, price menus against local competition, monitor their brands' ratings and visibility per kitchen, and track competitor brands expanding into their areas.

Cloud kitchens live and die by app economics, so locality-level data is their market research.

How do CPG and FMCG brands use food-delivery data?

To see which restaurants and dishes feature their products or category, track price points of dishes built on their inputs, and read cuisine and dish trends by city from menu data at scale.

Menu data is an underused demand signal: thousands of menus updated continuously describe what the market is cooking and charging.

Can I track ratings and reviews across locations?

Yes - per restaurant and per outlet, over time. Multi-outlet operators compare outlets against each other and against local competitors, and alert on rating drops.

A rating drop at one outlet is an operations signal; the same drop across outlets is a brand problem. The split matters and data provides it.

How do I monitor discounts and offers on delivery platforms?

Record active offers with each menu check - percentage deals, free delivery, platform promotions - because the effective price a customer pays moves with them.

Offer intensity by locality also reveals competitors' customer-acquisition pushes while they are happening.

How often does food-delivery data need refreshing?

Menus and prices: daily is usually enough. Offers and visibility: more often, since both change within the day. Ratings: daily works.

As always, tie frequency to the decision - a weekly pricing review doesn't need hourly menus, but a visibility alert does.

Can I get food-delivery data per city or locality?

Yes, and you should - both platforms serve content by location, so collection is locality-based by nature. A national average hides everything useful.

Decide your locality panel from where you operate and where you plan to expand, and keep it stable so trends are comparable.

Need this data as an API?

ScrapeGuys builds and operates production scraping APIs that return clean, structured JSON - and takes custom targets live in 48-72 hours.

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