Why WebMD Drug Information Scraping Is Essential for Extracting Accurate Pharmaceutical Data?
Discover why WebMD Drug Information Scraping is vital for extracting accurate pharmaceutical data, dosage details, side effects, and drug interactions.
In today’s dynamic food delivery ecosystem, pricing plays a pivotal role in customer decision-making. Platforms like Swiggy, Zomato, and Uber Eats compete vigorously—not just in service and delivery speed—but in how they price their restaurant menu items and offers.
With data-driven insights from Actowiz Solutions, businesses can gain a granular understanding of how these platforms price their menus, what discounts they offer, and how this impacts consumer choices. Let's dive into a comprehensive restaurant menu and offer price comparison across these leading platforms.
Consumers love savings—and pricing transparency directly influences app choices. Here's why comparing Swiggy, Zomato, and Uber Eats matters:
Understanding these variables can help restaurants set competitive prices, and customers make informed choices.
Actowiz Solutions employed advanced web scraping services and menu data extraction tools to collect real-time pricing data from Swiggy, Zomato, and Uber Eats across metro cities including Mumbai, Delhi, Bengaluru, and Hyderabad.
Dataset Fields:
Dish | Swiggy Price (INR) | Zomato Price (INR) | Uber Eats Price (INR) |
---|---|---|---|
Paneer Butter Masala | 240 | 250 | 245 |
Chicken Biryani | 210 | 220 | 215 |
Veg Burger | 120 | 115 | 125 |
Margherita Pizza | 180 | 175 | 185 |
Masala Dosa | 90 | 95 | 92 |
👉 Insights:
Infographic Title: “Best Platform by Cuisine Type”
Sections:
1. North Indian Dishes – Swiggy leads
2. South Indian Cuisine – Zomato edges out
3. Fast Food (Pizza/Burgers) – Uber Eats charges a premium
4. Average Discount per Platform
🧠 Actionable Tip: Actowiz Solutions' dynamic pricing tracking tools help restaurants adjust offers in real-time across platforms.
Actowiz Solutions is a leader in restaurant data scraping, offering precise and real-time data extraction from food delivery apps. Here's how we help businesses:
Track dish availability, price changes, and competitor pricing dynamically.
Extract offer data to understand the competitive landscape.
Compare pricing trends and menu offerings by location or cuisine type.
Get notified when competitors change prices or launch new offers.
Correlate pricing with customer reviews, ratings, and delivery time.
A multi-outlet Indian restaurant in Mumbai used Actowiz Solutions to:
Swiggy in Bengaluru: Most aggressive in pricing with average 20% discounts on veg dishes.
Zomato in Delhi: Focused on combos and flat delivery charges.
Uber Eats in Hyderabad: Premium pricing but consistent delivery ratings.
💡 Businesses can use Actowiz Solutions’ city-wise insights to customize pricing strategies across locations.
Platform | Avg. Discount Offered | Delivery Fee Range | Common Offers |
---|---|---|---|
Swiggy | 15-25% | ₹20 - ₹40 | Flat ₹100 off |
Zomato | 20-30% | ₹0 - ₹35 | 1+1 deals |
Uber Eats | 10-20% | ₹30 - ₹50 | 20% Cashback |
📊 Use this data to position your restaurant better on each platform. Actowiz Solutions’ scrapers update this data daily.
Through app scraping, Actowiz Solutions discovered:
Actowiz Solutions ensures all scraping is:
Data is collected only for publicly available information to ensure privacy is never compromised.
Need access to detailed datasets or automated scripts for your platform?
The food delivery ecosystem is no longer just about convenience—it’s a data battlefield. With constantly changing menus, discounts, and delivery charges, platforms like Swiggy, Zomato, and Uber Eats compete fiercely.
Actowiz Solutions empowers restaurants, FMCG brands, and data analysts with actionable insights via real-time menu scraping, offer monitoring, and pricing analytics.
Whether you're a restaurateur wanting to dominate your delivery zone or a startup comparing price efficiency, Actowiz Solutions is your ultimate data partner.
✨ "1000+ Projects Delivered Globally"
⭐ "Rated 4.9/5 on Google & G2"
🔒 "Your data is secure with us. NDA available."
💬 "Average Response Time: Under 12 hours"
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.