Introduction
India’s food delivery market is one of the fastest-growing in the world. With giants like Zomato and Swiggy handling millions of daily orders, restaurants and cloud kitchens need deep, real-time intelligence to compete. The ability to scrape Zomato and Swiggy data in India is now essential for pricing, delivery optimization, and customer satisfaction.
A Statista 2024 report shows India’s online food delivery industry will cross $18 billion USD by 2025, growing at 12–14% CAGR. At this scale, brands need tools to Extract food delivery time and pricing data in India, monitor competitor trends, and decode reviews in seconds.
This report reveals how to use scrape Zomato and Swiggy data in India to uncover pricing trends, delivery insights, top cuisines, and market gaps — with real tables and data for India’s FoodTech growth.
Delivery Time & Order Value by Major Cities
Tracking average delivery times helps restaurants manage rider networks and promises to customers. Using Extract food delivery time and pricing data in India, brands gain clarity on true benchmarks.
| Year |
Mumbai Avg. Delivery (mins) |
Delhi |
Bangalore |
India Avg. Order Value (INR) |
| 2020 |
40 |
42 |
35 |
₹320 |
| 2021 |
36 |
39 |
32 |
₹340 |
| 2022 |
34 |
37 |
31 |
₹355 |
| 2023 |
32 |
35 |
30 |
₹375 |
| 2024 |
31 |
34 |
28 |
₹390 |
| 2025 (proj.) |
29 |
32 |
27 |
₹420 |
Analysis:
Delivery times have dropped 25% in top metros between 2020 and 2025 due to better logistics and hyperlocal kitchens. Meanwhile, order values are climbing — up 31% in five years. Restaurants using Scraping Zomato restaurant listings and reviews India can adjust menu prices and delivery charges to match this shift.
Top 5 Cuisines Ordered on Zomato & Swiggy
Knowing which cuisines trend helps brands adapt menus. Tools to scrape Zomato and Swiggy data in India reveal dish-level trends.
| Cuisine |
% of Total Orders 2020 |
% of Total Orders 2023 |
% Proj. 2025 |
| North Indian |
28% |
26% |
25% |
| Biryani |
16% |
18% |
20% |
| Pizza |
12% |
14% |
15% |
| Chinese |
11% |
9% |
8% |
| Healthy Bowls |
4% |
7% |
10% |
Analysis:
Traditional staples like North Indian remain dominant, but modern segments — especially biryani and healthy meals — are rising fast. By combining Swiggy and Zomato data for Indian restaurant analysis, cloud kitchens can test healthier menus or biryani combos in tier-2 cities for future growth.
Average Menu Pricing by Tier
Pricing affects loyalty. Brands use Swiggy & Zomato Menu Price Extraction to benchmark by city tier.
| Year |
Metro Avg. Price |
Tier-2 Avg. |
Tier-3 Avg. |
| 2020 |
₹320 |
₹260 |
₹220 |
| 2021 |
₹340 |
₹275 |
₹235 |
| 2022 |
₹355 |
₹290 |
₹245 |
| 2023 |
₹370 |
₹310 |
₹260 |
| 2024 |
₹390 |
₹325 |
₹275 |
| 2025 (proj.) |
₹420 |
₹340 |
₹290 |
Analysis:
Metro cities sustain 20–25% higher average pricing than smaller towns. Local brands using extract food delivery data from Zomato and Swiggy in India adjust prices to protect margins while staying affordable regionally.
Reviews: Complaints vs. Positive Keywords
Real insights come from the review systems of Swiggy and Zomato. Scraping reveals common complaints.
| Year |
Top Complaints |
Mention % |
Top Positive Keywords |
| 2020 |
Late Delivery |
40% |
Good Taste |
| 2021 |
Cold Food |
30% |
Fresh Food |
| 2022 |
Packaging |
20% |
Value for Money |
| 2023 |
Missing Items |
18% |
Fast Service |
| 2024 |
Wrong Orders |
15% |
Perfect Portion |
Analysis:
Late delivery and packaging complaints remain steady. Brands using Scraping restaurant data from Indian apps fix these gaps faster. Positive mentions show value-focused messaging wins trust.
Discount vs. Non-Discount Orders
Competitive brands use scraped Swiggy and Zomato data for competitor analysis to test discount strategies.
| Year |
% Orders with Discounts |
Avg. Bill (INR) |
Repeat Orders |
| 2020 |
60% |
₹280 |
35% |
| 2021 |
55% |
₹300 |
38% |
| 2022 |
50% |
₹325 |
40% |
| 2023 |
45% |
₹350 |
43% |
| 2024 |
42% |
₹370 |
47% |
| 2025 (proj.) |
40% |
₹400 |
50% |
Analysis:
Heavy discount reliance is dropping. Savvy restaurants focus on better service and menu positioning using insights from Scrape Restaurant Data India and real-time feedback loops.
Growth of Cloud Kitchens
Cloud kitchens dominate online delivery. Web Scraping Zomato Datasets shows the boom.
| Year |
No. of Active Cloud Kitchens |
| 2020 |
3,500 |
| 2021 |
5,000 |
| 2022 |
6,800 |
| 2023 |
8,200 |
| 2024 |
10,000 |
| 2025 (proj.) |
12,500 |
Analysis:
Cloud kitchens will nearly quadruple in five years. Access to the Swiggy Food Delivery Dataset lets brands pick locations, cuisines, and prices strategically.
Conclusion
Actowiz Solutions helps brands scrape Zomato and Swiggy data in India ethically, scalably, and without compliance headaches. From Extract food delivery time and pricing data in India to Swiggy & Zomato Menu Price Extraction, we deliver daily intelligence feeds and actionable dashboards.
Clients trust our scraping solutions for everything — city-wise competitor tracking, Scraping Zomato restaurant listings and reviews India, and optimized promotions. Our smart pipelines handle billions of data points securely.
The future of Indian FoodTech is data-first. By using Actowiz Solutions to scrape Zomato and Swiggy data in India, brands stay one step ahead — pricing smarter, delivering faster, and scaling profitably.
Want to lead the FoodTech race? Connect with Actowiz Solutions today for custom scraping, dashboards, and real-time market intelligence!
