Restaurant Trend Analysis with Food Delivery Data | ArcTechnolabs
Introduction
Food delivery isn’t just about convenience anymore—it’s a data goldmine. In fast-paced markets like the UAE and Singapore, food delivery platforms serve as real-time mirrors of restaurant performance, cuisine trends, pricing models, and consumer preferences.
ArcTechnolabs brings powerful visibility into this ecosystem with ready-made datasets scraped from top platforms such as Talabat, Deliveroo, Zomato, Careem NOW (UAE), GrabFood, and Foodpanda (Singapore).
If you're building a restaurant analytics platform, benchmarking food delivery pricing, or launching a virtual kitchen, our datasets deliver instant, structured, and geo-tagged intelligence.
Why UAE and Singapore?
- UAE: Burgeoning QSR chains, cloud kitchen boom, and highly competitive platforms like Talabat and Zomato.
- Singapore: Tech-savvy urban population, high delivery frequency, and GrabFood/Foodpanda dominance.
Both countries represent a gold standard for online ordering behavior and digital F&B operations.
What ArcTechnolabs Provides
| Attribute | Description |
|---|---|
| Restaurant Name | Exact listing name from food delivery platforms |
| Cuisine Type | Chinese, Indian, Fast Food, etc. |
| Item Names | Menu items with portion size |
| Item Prices | Before & after discount |
| Delivery Fee | Platform-specific delivery charges |
| Ratings | Avg. rating & total review count |
| Delivery Time Estimate | Time range as listed (e.g., 30–40 min) |
| Offer/Discount | Coupons, % off, bundle deals |
| Scraped From | Zomato, Grab, Deliveroo, Talabat, etc. |
Sample Dataset – UAE (Talabat + Zomato)
| Restaurant | Cuisine | Item | Price (AED) | Rating | ETA |
|---|---|---|---|---|---|
| Al Baik Express | Arabic | Chicken Broast | 25.00 | 4.5 | 30-40m |
| Burgerizzr | Fast Food | Double Burger | 32.00 | 4.3 | 20-30m |
Sample Dataset – Singapore (GrabFood + Foodpanda)
| Restaurant | Cuisine | Item | Price (SGD) | Rating | ETA |
|---|---|---|---|---|---|
| Boon Tong Kee | Chinese | Steamed Chicken | 12.80 | 4.6 | 25-35m |
| Crave Nasi Lemak | Malay | Chicken Wing Set | 9.90 | 4.4 | 20-25m |
Use Cases for Food Delivery Data
1. Restaurant Trend Forecasting
Track top-performing cuisines, trending dishes, and delivery frequency by city.
2. Competitor Pricing Analysis
Compare QSR pricing across cities/platforms to optimize your own.
3. Virtual Kitchen Strategy
Use delivery times, cuisine gaps, and demand signals to plan kitchen placement.
4. Franchise Expansion Feasibility
Measure brand performance before launching in new areas.
5. Offer Performance Tracking
Analyze how discount combos affect order ratings and visibility.
How ArcTechnolabs Builds These Datasets
- Platform Selection: We target top food delivery apps across UAE and Singapore.
- Geo-Based Filtering: Listings are segmented by city, area, and delivery radius.
- Smart Scraping Engines: Handle pagination, time delays, JavaScript rendering.
- Normalization: Menu names, price formatting, cuisine tagging, and duplication removal.
- Delivery ETA Tracking: Extract exact delivery time estimates across dayparts.
Data Refresh Options
| Frequency | Channels | Format |
|---|---|---|
| Hourly | API / JSON | Real-Time |
| Daily | Email / Download | CSV, Excel |
| Weekly Trend | Email / Google Drive | Summary |
Target Cities
| UAE | Singapore |
|---|---|
| Dubai, Abu Dhabi, Sharjah | Central, Tampines, Jurong |
| Ajman, Al Ain | Bukit Batok, Ang Mo Kio |
Customization Options
| Custom Field | Example |
|---|---|
| Cuisine Filter | Only Indian, Arabic, Chinese |
| Platform Filter | Only Talabat or Only GrabFood |
| Time of Day | Lunch/Dinner/Early AM listings |
| Restaurant Type | Only Cloud Kitchens or Dine-In |
| Discount Status | Only restaurants offering deals |
Benefits of ArcTechnolabs’ Pre-Scraped Datasets
- Fast deployment
- City-wise trend segmentation
- Competitor menu benchmarks
- Multi-platform support
- Clean & normalized structure
Get Started in 3 Steps
- Request your sample dataset
- Choose your region, platform & cuisine focus
- Start receiving insights via API or scheduled exports
Visit ArcTechnolabs.com to request a demo or consultation.
Conclusion
The future of food delivery is data-driven. Whether you're analyzing dish popularity, price competitiveness, or delivery performance— ArcTechnolabs equips you with plug-and-play food delivery datasets that transform static restaurant listings into live market intelligence.
Get smart. Get fast. Get food trend insights—powered by ArcTechnolabs.
Read More >> https://www.arctechnolabs.com/restaurant-trends-with-food-delivery-dataset.php
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