Introduction

India’s food delivery industry has seen a paradigm shift in recent years, with Tier 2 cities emerging as significant contributors to growth. As urbanization spreads beyond metros, platforms like Zomato and Swiggy are witnessing rising adoption rates in cities like Bhopal, Jaipur, Coimbatore, Lucknow, and Bhubaneswar. These regions showcase unique consumption patterns, price sensitivities, and cuisine preferences that are vastly different from those in Tier 1 cities. Businesses seeking to stay competitive and hyperlocal must Extract Food Delivery insights from Tier 2 cities India to stay ahead of evolving food habits.

The Growth of Food Delivery in Tier 2 Cities

Between 2020 and 2025, Tier 2 cities in India have seen an exponential increase in food delivery app usage. As per industry data, these cities contributed over 32% of Zomato and Swiggy’s total order volume in 2024. Several factors drive this:

• Smartphone Penetration: Increased access to affordable smartphones and the internet.
• Digitized Payment Systems: UPI and wallet adoption have simplified online ordering.
• Youth Demographics: A growing student and working-class population with aspirational lifestyles.
• Limited Dine-in Options: Fewer dine-out options in Tier 2 cities make food delivery more appealing.

The need to extract Zomato & Swiggy user preferences data from these regions becomes even more vital when launching new products or planning targeted marketing campaigns.

Zomato vs Swiggy in Tier 2 Markets

While both Zomato and Swiggy have deep market penetration, their growth strategies differ across Tier 2 cities.

Zomato

• Focuses more on premium listings, reviews, and restaurant discovery.
• Performs better in cities with a strong dine-in culture.
• Offers loyalty programs like Zomato Gold that work better in urbanized Tier 2 cities (e.g., Chandigarh, Pune).

Swiggy

• Invested heavily in delivery logistics and partnerships with small restaurants.
• Quicker to scale in underserved markets with no dine-in presence.
• Offers subscription-based delivery plans (Swiggy One), which resonate with high-frequency users in price-sensitive regions.

The need for Zomato & Swiggy data scraping in India arises when businesses aim to measure market reach, user engagement, and pricing strategies across these diverse platforms.

Applications of Food Delivery Data from Tier 2 Cities

• Menu Optimization: Restaurants and cloud kitchens can identify high-performing dishes in their region and refine offerings accordingly using Food Delivery Dataset from Zomato and Swiggy data.
• Regional Pricing Strategy: By analyzing competitor pricing, discounts, and delivery charges, businesses can optimize pricing structures for each city.
• Hyperlocal Campaigns: With localized data insights, brands can launch custom campaigns targeting specific Tier 2 regions, aligned with popular dishes or festival food demands.
• Vendor Performance Tracking: Using Food Delivery Data Scraping Services , aggregators and franchises can assess vendor ratings, delivery speed, and consistency for quality control.
• Expansion Roadmap: Brands entering Tier 2 markets can use data to choose the best cities based on cuisine trends, order volumes, and platform dominance.

Challenges in Tier 2 Food Data Collection

1. Data Availability: Some small vendors don’t update menus or pricing regularly.
2. Regional Language Use: Menus and listings may contain local scripts or non-standard naming.
3. Frequent Price Fluctuations: Discounts vary daily, requiring frequent data refreshes.
4. Unstructured Data: Scraped data often needs cleaning before it can be used in analytics systems.

Despite these hurdles, the volume and variety of Tier 2 food delivery data make it a high-value asset for brands looking to localize offerings and grow efficiently.

Case Study: Cloud Kitchen Expansion in Tier 2

A cloud kitchen brand planning to expand to Tier 2 cities used scraped data from both platforms to assess viability. The insights helped the brand:

• Identify top-performing food items in Bhopal and Coimbatore
• Spot neighborhoods with high delivery density
• Choose Swiggy over Zomato in regions where Swiggy had higher order share
• Set optimized price points based on competitive data

This approach cut their entry cost by 30% and increased order volume in new cities by 45% within 90 days.

Conclusion

India’s Tier 2 cities present an untapped goldmine of food delivery insights. The rising order volumes, regional food preferences, and evolving consumer expectations make it critical for stakeholders to invest in continuous data extraction and trend analysis. Whether you’re a food aggregator, brand, or restaurant chain, using data to understand these markets is no longer optional—it’s essential.

With access to accurate Food Delivery App Menu Datasets , businesses can monitor what’s being served, what’s being ordered, and what trends are emerging next—making them future-ready in the competitive Tier 2 food delivery ecosystem.