SEA Food Delivery Data Scraping Case Study — Sizing the $1.8B Healthy Bowl Market Across 6 Countries
How a Southeast Asian QSR chain used multi-platform food delivery data scraping to size the $1.8B healthy bowl category across 6 SEA markets and prioritize 3 launch countries.
Client overview
Who the client is
The client is a Southeast Asian QSR chain with a healthy-eating concept already operating in Singapore. The chain was preparing a regional expansion and needed a credible category-sizing study to decide which of six SEA markets to enter first. Names are anonymized for confidentiality; metrics are shown exactly as delivered.
Objectives
What they wanted to achieve
- Size the healthy bowl category across 6 SEA countries
- Quantify bowl SKU counts, pricing, and merchant density per market
- Identify the 3 markets best matched to the chain's concept
- Map cross-platform footprint (GrabFood, GoFood, ShopeeFood, foodpanda)
- Establish baseline metrics for post-launch performance tracking
- Replace anecdotal market sizing with merchant-level evidence
The challenge
Six markets, no comparable category data
The chain's leadership had narrowed expansion to six SEA candidate markets — Singapore, Malaysia, Thailand, Indonesia, Vietnam, and the Philippines — but standard market reports either covered one country deeply or summarized the region at unhelpfully high altitude. Without a comparable, merchant-level view of the healthy bowl category in each market, prioritization was impossible.
The solution
A multi-platform, multi-country healthy bowl tracker
FoodDataScrape built a continuous pipeline combining GrabFood data scraping, GoFood data extraction, ShopeeFood and foodpanda capture into a single harmonized bowl-category dataset across all six countries. The build went live in seven weeks.
Define healthy bowl
We built a category taxonomy covering grain bowls, salad bowls, poke bowls, smoothie bowls, protein bowls, and regional healthy-bowl formats.
Multi-platform extractors
Per-country, per-platform extractors captured bowl SKUs, pricing in local currency, merchant counts, and review velocity.
Harmonize & size
Data was deduplicated across platforms, normalized to USD, and rolled up into country-level category sizing.
The AI layer
How does AI-assisted category sizing work?
AI-assisted category sizing combines food delivery data scraping with classification models that identify category-matching SKUs across multi-language menus and platform-specific taxonomies — producing a defensible, cross-country market size from merchant-level data.
On top of the raw feed, an AI classification layer turned platform data into bowl category intelligence: it caught implicit bowl items (e.g., grain-and-protein concepts not explicitly named 'bowl'), classified bowls by sub-format, and rolled up SKU-level data into market-size estimates per country. Each month the chain received a refreshed category index per market.
- Classified 48,600 bowl SKUs across 6 countries and 4 platforms
- Identified Singapore and Thailand as most mature bowl markets
- Surfaced Vietnam and Indonesia as fastest-growing emerging markets
- Flagged Philippines as price-sensitive (bowl premium under pressure)
Data captured
What data we captured
The pipeline captured a full SEA restaurant data view of the bowl category:
| source | method | fields |
|---|---|---|
| GrabFood | GrabFood data scraping | merchants · bowl SKUs · price · zone |
| GoFood | GoFood data extraction | merchants · menu · price · ratings |
| ShopeeFood / foodpanda | Multi-platform capture | cross-platform SKU deduplication |
BEFORE VS AFTER
Before vs after comparison
| Metric | Before | After (FoodDataScrape) |
|---|---|---|
| Category sizing | Report estimates | $1.8B merchant-level total |
| Country comparability | Country-by-country fragments | 6-country harmonized panel |
| Bowl sub-format detail | Single 'bowl' bucket | Grain, salad, poke, smoothie, protein tracked |
| Cross-platform view | Single-platform analyses | GrabFood + GoFood + ShopeeFood + foodpanda |
| Currency comparability | Local-only pricing | Local + USD-normalized |
| Launch confidence | Intuition-led | Top-3 markets data-prioritized |
ROI impact
From Assumption to Measurable ROI
Total addressable bowl category across 6 SEA markets.
Singapore (mature), Thailand (mature), Vietnam (high-growth).
Across 4 platforms in 6 countries.
Harmonized GrabFood + GoFood + ShopeeFood + foodpanda.
The data shifted the chain's launch plan from a 'all six countries simultaneously' instinct to a phased, evidence-led rollout that protected unit economics in each market.
Client testimonial
In the client's words
"We had bowl-category opinions across six markets — we did not have bowl-category data. The cross-platform sizing gave us a defensible launch sequence and a competitive map we still use every month."
— Director of Regional Expansion, SEA QSR chain (name withheld)
Why FoodDataScrape
Why they chose FoodDataScrape
- Specialists in food delivery data scraping across SEA
- GrabFood, GoFood, ShopeeFood & foodpanda coverage out of the box
- AI-assisted category classification for category sizing
- Multi-currency normalization to USD
- Compliance-aware sourcing and dedicated SEA analyst support
- Live in seven weeks with a free proof-of-concept first
Questions
Frequently asked questions
It combines food delivery data scraping across multiple platforms with AI classification that identifies category SKUs consistently and deduplicates the same merchant across platforms — producing a defensible market size from merchant-level data.
Singapore, Malaysia, Thailand, Indonesia, Vietnam, and the Philippines — each with multi-platform capture and country-level rollup.
Merchants operating on both GrabFood and a competitor platform are deduplicated using name, address, and GPS matching — so the SKU count is accurate, not double-counted.
A defensible $1.8B category sizing, 3 prioritized launch markets, and a competitive monitoring pipeline that continues to inform monthly market reviews.
Yes — the same multi-platform sizing pipeline can size any category (bubble tea, plant-based, premium coffee, etc.) across any covered region.
Yes — we use compliance-aware sourcing across all SEA markets and delivery platforms.
Want category sizing for your SEA expansion?
Tell us your category and target SEA markets. We'll scope a multi-platform sizing pipeline and show sample output in a short demo.
