Scrape Food Delivery Price for Zomato, Swiggy & Uber Eats

 

Introduction

The rapid expansion of food delivery apps across global markets has created a highly competitive environment for restaurants, cloud kitchens, and aggregators. Consumers today demand transparency, competitive pricing, and real-time insights into menu changes. Meanwhile, businesses need access to accurate pricing data across platforms to make strategic decisions.

One of the most effective ways to perform price benchmarking is to Scrape Food Delivery Price for Zomato, Swiggy & Uber Eats—a process that allows companies to evaluate differences in menu rates, delivery fees, surge charges, packaging costs, and discount patterns.

With millions of daily transactions and multiple vendors competing for visibility, data-driven decisions have become essential. From menu optimization to discounting strategy, everything now depends on accurate, timely price intelligence.

This blog explores how businesses can leverage modern scraping technologies to conduct a comprehensive Food Delivery Price Analysis, enabling an accurate cost comparison across leading food delivery apps.

Market Growth: Food Delivery Trends 2020–2025

From 2020 to 2025, the food delivery industry witnessed large-scale digital adoption, with India, the Middle East, Europe, and the U.S. experiencing double-digit annual growth. According to sector reports:

2020

• Market Size: USD 127.0 Billion

• YoY Growth: —
  
  

2021

• Market Size: USD 133.4 Billion

• YoY Growth: 5.0%
  
  

2022

• Market Size: USD 150.6 Billion

• YoY Growth: 12.9%
  
  

2023

• Market Size: USD 176.2 Billion

• YoY Growth: 17.0%
  
  

2024

• Market Size: USD 198.3 Billion

• YoY Growth: 12.5%
  
  

2025 (Estimated)

• Market Size: USD 210.5 Billion

• YoY Growth: 6.1%

The dramatic growth of delivery platforms also accelerated the need to Extract Food Price from Food Delivery apps, as businesses leaned heavily on data to understand market shifts.

The “big three”—Zomato, Swiggy, and Uber Eats—collectively handle hundreds of millions of monthly orders. Yet, their pricing structures differ significantly depending on factors such as:

• Location

• Restaurant category

• Delivery timing

• Platform-specific promotions

• Peak-hour surcharges

This variation emphasizes why brands must Scrape Food Delivery Price for Zomato, Swiggy & Uber Eats to gain a consistent, cross-platform overview.

Why Food Delivery Price Analysis Matters in 2025?

Pricing remains one of the most influential factors affecting customer choice. In India and global markets, 64% of users compare prices across apps before placing an order. In 2025, dynamic AI-driven pricing on apps has made it even more important for restaurants to monitor competitor listings.

Here is a sample comparison of average delivery charges (2024–25):

Zomato

• Avg. Delivery Fee: ₹28

• Peak Surge: High during weekends

• Packaging Charges (avg.): ₹6–₹15
  
  

Swiggy

• Avg. Delivery Fee: ₹32

• Peak Surge: Moderate

• Packaging Charges (avg.): ₹8–₹20
  
  

Uber Eats

• Avg. Delivery Fee: ₹25

• Peak Surge: Low

• Packaging Charges (avg.): ₹5–₹10

For businesses, such differences directly influence:

• Customer acquisition costs

• Menu profitability

• Commission margin optimization

• Discount campaign planning

A structured analysis enables firms to perform better Food Delivery Price Intelligence from Food app data, improving decision-making.

Key Elements That Influence Food Delivery Pricing

Different apps often follow different operational and pricing models. When companies Scrape Food Delivery Price for Zomato, Swiggy & Uber Eats, the following elements are typically collected for full clarity:

a. Menu Prices

Depends on restaurant, location, and cuisine type. Variations can occur even within the same brand across cities.

b. Delivery Charges

Based on distance, traffic, and demand spikes.

c. Discount & Promo Codes

Apps use AI-driven promotions that change frequently.

d. Packaging Fees

Calculated by the restaurant or platform.

e. Taxes

GST slabs differ between food categories.

f. Surge Pricing

Common during festivals, weekends, and peak traffic hours.

Tracking these elements enables Real-time Food Delivery Price Tracking Using Scraping, ensuring businesses receive fresh, actionable insights.

Zomato vs Swiggy vs Uber Eats Price Intelligence – What the Data Shows

To understand platform competitiveness between 2020 and 2025, analysts evaluated average basket values for the same restaurants across major metro cities.

Delhi

• Zomato Avg. Order Value: ₹255

• Swiggy Avg. Order Value: ₹270

• Uber Eats Avg. Order Value: ₹240
  
  

Mumbai

• Zomato Avg. Order Value: ₹290

• Swiggy Avg. Order Value: ₹305

• Uber Eats Avg. Order Value: ₹260
  
  

Bengaluru

• Zomato Avg. Order Value: ₹240

• Swiggy Avg. Order Value: ₹265

• Uber Eats Avg. Order Value: ₹230
  
  

Hyderabad

• Zomato Avg. Order Value: ₹230

• Swiggy Avg. Order Value: ₹250

• Uber Eats Avg. Order Value: ₹225

Based on this analysis, several conclusions emerge:

• Zomato is often more competitive for premium restaurant categories.

• Swiggy tends to have higher delivery charges but offers consistent availability.

• Uber Eats (where active) is generally cheaper on base menu prices.

This comparison delivers valuable Zomato vs Swiggy vs Uber Eats Price Intelligence, enabling companies to benchmark performance across cities.

Cross-Platform Comparison: Understanding Price Differences

A detailed Price Comparison from Swiggy, Zomato, & Uber Eats reveals important insights:

• Swiggy usually includes additional packaging costs for specific cuisines.

• Zomato dynamically adjusts surge charges during high-demand hours.

• Uber Eats frequently bundles free delivery with restaurant-specific discounts.

Example Dataset (2025):

Paneer Butter Masala – Brand A

• Zomato Price: ₹210

• Swiggy Price: ₹225

• Uber Eats Price: ₹200
  
  

Chicken Biryani – Brand B

• Zomato Price: ₹260

• Swiggy Price: ₹275

• Uber Eats Price: ₹255
  
  

Veg Pizza – Brand C

• Zomato Price: ₹310

• Swiggy Price: ₹325

• Uber Eats Price: ₹290

Such pricing discrepancies highlight the need to regularly collect data from all platforms to maintain competitive parity.

How Food Delivery Data Is Scraped and Processed?

To perform detailed price analysis, companies rely on professional Food Delivery Data Scraping Services, which extract structured data from multiple delivery platforms.

The scraping process typically includes:

Step 1: Target Identification

Restaurants, cuisines, locations, and specific menu categories are selected.

Step 2: Data Extraction

Tools collect menu prices, delivery fees, taxes, discounts, and availability.

Step 3: Frequency Scheduling

Hourly, daily, or real-time updates depending on business needs.

Step 4: Data Normalization

Raw data is cleaned and standardized to match cross-platform formats.

Step 5: Dashboard Integration

The processed data feeds into BI dashboards for actionable insights.

Step 6: Continuous Monitoring

Alerts are configured for price jumps, competitor listings, and discount changes.

This structured workflow ensures accurate and meaningful insights for food delivery price benchmarking and strategy development.

How Actowiz Solutions Can Help?

Actowiz Solutions is a global leader in data extraction and automation, delivering advanced food delivery pricing intelligence tailored for aggregators, restaurants, cloud kitchens, market research firms, and analytics companies.

Here's how Actowiz supports end-to-end food delivery analytics:

1. Cross-Platform Price Scraping Expertise

We help businesses reliably Scrape Food Delivery Price for Zomato, Swiggy & Uber Eats, enabling 360° visibility of competitor prices, delivery charges, and discount variations.

2. Real-Time Monitoring Capabilities

Our infrastructure supports continuous, automated data refreshing—ensuring you never miss a price change.

3. High-Accuracy Data Extraction

From small restaurants to national chains, our systems gather granular-level food delivery data across thousands of listings.

4. Custom Dashboards & APIs

We deliver analytics dashboards and API endpoints that integrate seamlessly with your internal systems.

5. Scalable Data Collection

Whether you require city-level or global-level extraction, Actowiz scales according to your demand.

6. 100% Compliance-Driven Approach

All scraping solutions are engineered to follow platform guidelines, industry standards, and secure data practices.

By combining domain expertise with enterprise-grade infrastructure, Actowiz Solutions empowers businesses to build advanced competitive intelligence programs in the food delivery sector.

Conclusion

Accurate food delivery pricing insights are essential for any business operating in today’s competitive food-tech landscape. With the right data extraction capabilities, brands can monitor competitors, optimize menu strategies, and improve profitability with precision. Actowiz Solutions specializes in advanced Web Scraping, seamless Mobile App Scraping, and automated Real-time dataset delivery to help companies stay ahead in the fast-changing food delivery ecosystem.

Ready to gain pricing intelligence across Zomato, Swiggy, and Uber Eats? Contact Actowiz Solutions today!

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

Learn More >> https://www.actowizsolutions.com/food-delivery-price-analysis-zomato-swiggy-ubereats.php 

Originally published at https://www.actowizsolutions.com