Swiggy and Zomato offers data shows which discounts restaurants run, where they run them, and for how long. Because each pincode sees a different mix of outlets, one brand can show different deals across a single city. So tracking Swiggy and Zomato offers data by pincode shows how competitors really price, not just what their menus say.

This guide covers the offer types to capture and the fields you need. It also gives a step-by-step tracking method, plus the limits on personal data.

Why Swiggy and Zomato Offers Data Matters Now

Discounts have become a flashpoint in Indian food delivery. In July 2026, Bengaluru hotel associations threatened to boycott both apps from 15 August. Among other demands, they wanted platforms to stop offering discounts without restaurant consent.

They also claimed a restaurant earning ₹1 lakh through Swiggy keeps about ₹40,000 after commissions, discounts and other deductions. By 6 August, talks had produced no resolution.

Regulators have looked at discounts, too. In 2024, a CCI investigation reportedly found that Zomato imposed pricing and discount restrictions on restaurant partners. The same report said Swiggy pushed for price parity.

Meanwhile, value deals keep growing. For example, Swiggy’s 99 Store now reaches more than 500 cities, with dishes at ₹49, ₹79 and ₹99. According to Swiggy, it drives one in every seven food orders.

So brands need Swiggy and Zomato offers data to see who discounts, how deeply, and where.

Why Offers Differ by Pincode

Offers rarely look the same across a city, for four reasons:

• Different outlets: each pincode sees the outlets within delivery range. So two areas can show different brands and deals.
• Outlet-level offers: a chain’s outlets can also run separate discounts, even in the same city.
• City rollouts: platform programmes launch city by city. Swiggy’s 99 Store, for instance, started in 175 cities.
• Fees: in March 2026, Swiggy’s platform fee rose to ₹17.58 per order including GST, matching Zomato. Its 2025 increase applied only in select areas.

As a result, a city average hides real gaps.

Types of Offers in Swiggy and Zomato Offers Data

Swiggy and Zomato offers data usually covers seven offer types. Each one needs slightly different fields:

• Percentage discounts: for example, “40% off up to ₹80”. However, the cap matters as much as the headline rate.
• Flat discounts: for example, “₹125 off above ₹499”. The minimum order decides who qualifies.
• Item price deals: fixed low prices on selected dishes, such as Swiggy’s ₹99 items.
• Freebies and BOGO: a free item, or buy one get one, often on selected dishes only.
• Free delivery: usually above a minimum order value, with more generous rules for members.
• Membership offers: in December 2024, Swiggy One cost ₹299 for three months, with free delivery and up to 30% off. At the time, Zomato Gold offered free delivery on orders above ₹199.
• Bank and payment offers: card-linked discounts at checkout, usually capped and limited to certain days.

However, not every offer is public. Some coupons target new users, members, or specific cards. So decide early which offer types you’ll track, and label each one clearly.

Fields to Capture for Swiggy and Zomato Offers Data

The right fields make Swiggy and Zomato offers data comparable across brands, pincodes, and time. For example:

Also, record menu prices at the same moment as offers. Otherwise, you can’t tell a real discount from a raised base price.

How to Track Restaurant Discounts by Pincode, Step by Step

Follow these steps to build Swiggy and Zomato offers data your team can trust:

1. Pick cities and pincodes. Choose pincodes that cover premium, mid-market, and student areas in each city.
2. List competitors and outlets. Include every outlet that delivers to those pincodes, rather than just the nearest one.
3. Fix one address point per pincode. Then every check sees the same delivery area.
4. Set a schedule. Check lunch and dinner peaks, and add daily checks during festivals and big matches.
5. Capture public offers only. Browse as a guest, and mark login-only offers as “not captured”.
6. Record prices and fees together. Save menu prices, delivery fees, and platform fees with each offer.
7. Standardise offer types. Tag each offer, then calculate the effective discount on a typical basket.
8. Flag changes and report weekly. Alert teams to new offers, deeper discounts, and offers that spread to new pincodes.

Peak-time checks matter most, because some offers only run during set time slots.

Metrics That Turn Offers Data Into Decisions

Raw offer lists are only the start. These metrics make Swiggy and Zomato offers data useful:

• Effective discount: the real saving on a typical basket, after caps and minimum orders.
• Offer coverage: the share of a brand’s outlets running offers in each pincode.
• Frequency and duration: how many offers run at once, and for how long.
• Price point mix: the share of dishes at ₹49, ₹99, or other low price points.
• Net customer price: the basket after discounts, plus delivery and platform fees.
• Discount gap: your effective discount minus each rival’s, by pincode.

Worked Example: Why Caps Matter

Take a ₹400 basket at two rivals:

• Restaurant A: “50% off up to ₹100” saves ₹100. So the effective discount is 25%.
• Restaurant B: “30% off up to ₹75” saves ₹75. So the effective discount is about 19%.

In other words, the headline gap is 20 points, but the real gap is about 6 points. Then the same platform fee applies to both baskets.

Finally, pair offers data with your own sales data. That way, you can see which offers actually lift orders.

Pitfalls and Personal-Data Limits

Swiggy and Zomato offer data is messier than menu data. So watch for these common problems:

• Personalised coupons: some offers differ by user. Therefore, track public offers only.
• Login-only offers: never use real customer accounts to see them.
• Bank offers: they depend on the card. So log them from public offer pages, and never enter card details.
• Address drift: delivery range can change. As a result, keep a fixed address point for each pincode.
• Time slots: offers can switch on and off during the day. Instead of one daily check, sample peak hours.
• Who funds the offer: Bengaluru restaurants say platforms apply some discounts without consent. So don’t assume every offer comes from the restaurant.

Legal checks matter, too. Both apps have terms of use that may restrict automated access, so read them and take legal advice. Also, avoid personal data. India notified its Digital Personal Data Protection Rules in November 2025, and penalties can reach ₹250 crore.

This guide is not legal advice.

Who Uses Swiggy and Zomato Offers Data

For example, these teams rely on Swiggy and Zomato offers data:

• Restaurant chains and QSRs: benchmark discounts against rivals in each pincode.
• Cloud kitchens: find areas where rivals discount less, before launching a brand.
• Food and beverage brands: see which combos and add-ons appear in deals.
• Agencies and consultants: report on discount pressure for restaurant clients.
• Analysts and investors: follow discount intensity across cities and platforms.

How FoodSpark Helps

FoodSpark is an independent data provider, not an official Swiggy or Zomato API. It collects public restaurant, menu, and offer data from both apps. So you can track offers without building your own scrapers.

• Fields: offer text, discount values, menu prices and fees where shown, plus timestamps.
• Coverage: by city, pincode, or radius.
• Refresh: one-time, weekly, daily, or hourly.
• Formats: CSV, JSON, XML, REST API or webhook, with delivery to AWS S3, BigQuery, Snowflake or Google Sheets.
• Compliance: public data only, with no personal user data, payment information, or non-public content.

To learn more, see our promotions and offers data scraping service, plus our Swiggy API and Zomato API pages. For full restaurant feeds, see our Swiggy and Zomato data scraping services. You can also read about Swiggy pricing and menu intelligence. Then check food data API pricing for a free 100-row sample.

Swiggy and Zomato Offers Data: FAQs

What is Swiggy and Zomato offers data?

It’s a record of the discounts, item deals, and delivery offers shown on both apps. Usually, it’s tracked by outlet, pincode, and time.

Why do Swiggy and Zomato offers change by pincode?

Each pincode sees different outlets, and each outlet can run its own offers. In addition, platform programmes and fees roll out by area.

Can I see Swiggy and Zomato offers without logging in?

Many offers show on public restaurant pages. However, some coupons only appear for certain users, so track public offers only.

How often should I track restaurant discounts?

Weekly suits most periods. However, check daily at lunch and dinner peaks during festivals and launches.

Is there an official API for Swiggy and Zomato offers?

No public one. Partner integrations cover a restaurant’s own outlets, so market-wide offers data comes from independent providers.

Is it legal to collect Swiggy and Zomato offers data?

It depends on the data, the terms of use, and local law. So collect public data only, avoid personal data, and get legal advice.

How can I get a sample of offers data?

FoodSpark offers a free 100-row sample in CSV or JSON. Just tell us the cities, pincodes, and brands you need.