Restaurant Trend Analysis with Food Delivery Data | ArcTechnolabs

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Analyzing-Restaurant-Trends-with-Pre-Scraped-Food-Delivery-Data-01

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?

Why UAE and Singapore-01

  • 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

Use Cases for Food Delivery Data-01

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

Benefits of ArcTechnolabs Pre Scraped Datasets-01

  • 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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