Scrape Food Delivery Price For Zomato, Swiggy & Uber Eats

By Author: Actowiz Solutions
Total Articles: 195
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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

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