South-East Asia Food Delivery Data Intelligence Platform

Introduction

Food-delivery platforms across South-East Asia have grown rapidly, driven by urbanization, mobile adoption, and changing consumer behavior. Platforms such as GrabFood, Foodpanda, ShopeeFood, GoFood, and local delivery apps operate across dozens of metro and Tier-2 cities, each with highly localized pricing, menus, and availability.

To gain competitive intelligence at scale, a client approached Actowiz Solutions seeking a data-extraction solution for food-delivery platforms across South-East Asian countries, covering both major metros and approximately 88 cities, with PIN-code-level granularity where required.

This case study explains how Actowiz designed and delivered a scalable food-delivery data intelligence platform supporting hundreds of outlets with room for rapid expansion.

Client Requirement Overview

Industry: Food Delivery / Q-Commerce / Restaurant Intelligence
Geographic Scope: South-East Asia

Key Requirements:

• Data extraction from leading food-delivery platforms
• Coverage across major metros and ~88 cities
• Hyperlocal granularity (PIN code / delivery zone level)
• Initial scope of ~500 outlets
• Ability to scale as more apps and outlets are added
• Structured, analytics-ready output

Business Challenges

3.1 Highly Fragmented Platforms

Each country and city uses a mix of:

• Global food-delivery apps
• Regional platforms
• Local restaurant aggregators

Data structures, APIs, and UI layouts vary widely.

3.2 Hyperlocal Pricing & Availability

Food prices, discounts, delivery fees, and availability often change:

• By city
• By delivery zone or PIN code
• By time of day

Standard city-level data was insufficient.

3.3 Large Outlet Coverage

Tracking ~500 outlets across dozens of cities required:

• Stable scraping architecture
• Intelligent outlet mapping
• Duplicate detection
• Continuous monitoring

3.4 Frequent Updates

Menus, prices, and availability change frequently due to:

• Promotions
• Time-based pricing
• Stock availability
• Platform-led discounts

Manual tracking was not feasible.

Actowiz Solutions – Approach

Actowiz Solutions designed a Food Delivery Data Extraction & Intelligence Pipeline optimized for South-East Asia, capable of:

• Multi-platform crawling
• Outlet-level and zone-level tracking
• PIN-code-based data extraction
• Scalable onboarding of new outlets and apps
• Scheduled data refresh with monitoring

Scope of Data Extracted

For each food-delivery platform and outlet, Actowiz extracted the following data points (where available):

Data Attributes Captured

Outlet Information

• Platform name
• Outlet / restaurant name
• Brand name (if part of a chain)
• City
• Delivery zone / PIN code
• Outlet URL
• Cuisine type

Menu & Pricing

• Menu category
• Item name
• Item description
• Item price
• Discounted price (if applicable)
• Add-ons and modifiers
• Combo / meal deals

Availability & Operations

• Item availability (in stock / out of stock)
• Outlet open / closed status
• Delivery time estimate
• Minimum order value
• Delivery fee

Promotions & Visibility

• Platform-level promotions
• Outlet-specific discounts
• Sponsored / featured listings (if visible)

Output Format & Delivery

Output Formats Supported:

• JSON
• CSV
• Excel

Delivery Methods:

• Secure SFTP / FTP
• Direct database ingestion
• Cloud storage delivery

Update Frequency

• Daily refresh for high-priority outlets
• Weekly refresh for long-tail outlets
• On-demand refresh supported

Business Impact

11.1 Hyperlocal Market Visibility

The client gained detailed visibility into:

• City-wise pricing
• Zone-wise availability
• Platform-specific pricing differences

11.2 Scalable Intelligence Framework

The system scaled smoothly from:

• Initial 500 outlets
• To additional cities, platforms, and countries

11.3 Faster Competitive Decisions

Enabled:

• Menu price optimization
• Discount benchmarking
• Expansion opportunity analysis
• Performance tracking by city and zone

11.4 Reduced Manual Monitoring

Eliminated manual outlet tracking across multiple platforms and geographies.

Why Actowiz Solutions?

• Proven expertise in food-delivery & quick-commerce scraping
• Support for PIN-code / zone-level granularity
• Multi-country scalability across South-East Asia
• High-accuracy structured datasets
• Secure delivery & monitoring
• Fast implementation timelines

Actowiz Solutions supports food-delivery data extraction across:

• GrabFood
• Foodpanda
• GoFood
• ShopeeFood
• Deliveroo (selected regions)
• Local and regional delivery apps

Conclusion

Actowiz Solutions delivered a scalable South-East Asia Food Delivery Data Intelligence Platform that captures hyperlocal menu, pricing, and availability data across dozens of cities and hundreds of outlets.

This solution empowers food brands, aggregators, analytics firms, and investors to make data-driven decisions in one of the world’s fastest-growing food-delivery markets.