Introduction
ArcTechnolabs provided a comprehensive Food Delivery Menu Dataset that helped the client extract detailed menu and pricing data from major food delivery platforms such as GrabFood, Foodpanda, and Deliveroo. This dataset included valuable insights into restaurant menus, pricing strategies, delivery fees, and popular dishes across different cuisine types in Singapore. The data also covered key factors like restaurant ratings and promotions, allowing the client to benchmark prices, identify trends, and create actionable insights for strategic decision-making. By extracting menu and pricing data at scale, ArcTechnolabs empowered the client to deliver high-impact market intelligence to the F&B industry.
Client Overview
A Singapore-based market intelligence firm partnered with ArcTechnolabs to analyze over 5,000 restaurants across the island. Their goal was to extract strategic insights from top food delivery platforms like GrabFood, Foodpanda, and Deliveroo—focusing on menu pricing, cuisine trends, delivery coverage, and customer ratings. They planned to use the insights to support restaurant chains, investors, and FMCG brands targeting the $1B+ Singapore online food delivery market.
The Challenge
The client encountered several data-related challenges, including fragmented listings across platforms, where the same restaurant had different menus and prices. There was no unified data source available to benchmark cuisine pricing or delivery charges. Additionally, inconsistent tagging for cuisines, promotions, and outlets created difficulties in standardization. The client also faced challenges in extracting food item pricing at scale and needed to perform detailed analysis by location, cuisine type, and restaurant rating. These obstacles highlighted the need for a structured and reliable dataset to overcome the fragmentation and enable accurate insights.They turned to ArcTechnolabs for a structured, ready-to-analyze dataset covering Singapore’s entire food delivery landscape.
ArcTechnolabs Solution:
ArcTechnolabs built a custom dataset using data scraped from:
- GrabFood Singapore
- Foodpanda Singapore
- Deliveroo SG
The dataset captured details for 5,000+ restaurants, normalized for comparison and analytics.
Sample Dataset Extract
| Restaurant Name | Cuisine | Area | Rating | Avg. Price (SGD) | Delivery Fee | Platform |
|---|---|---|---|---|---|---|
| Collin's | Western | Tampines | 4.6 | 18.50 | 3.00 | GrabFood |
| Crave Nasi Lemak | Malay | Bugis | 4.2 | 13.20 | 2.50 | Foodpanda |
| Sushi Express | Japanese | Orchard | 4.4 | 19.00 | 2.99 | Deliveroo |
| Ya Kun Kaya Toast | Singaporean | Raffles | 4.7 | 10.80 | 1.90 | GrabFood |
Client Testimonial
"ArcTechnolabs delivered exactly what we needed—structured, granular, and high-quality restaurant data across Singapore’s top food delivery apps. Their ability to normalize cuisine categories, menu pricing, and delivery metrics helped us drastically cut down report turnaround time. With their support, we expanded our client base and began offering zonal insights and cuisine benchmarks no one else in the market had. The quality, speed, and support were outstanding. We now rely on their weekly datasets to power everything from investor reports to competitive pricing models."
— Director of Research & Analytics, Singapore Market Intelligence Firm
Conclusion
ArcTechnolabs enabled a market intelligence firm to transform fragmented food delivery data into structured insights—analyzing over 5,000 restaurants across Singapore. With access to a high-quality, ready-to-analyze dataset, the client unlocked new revenue streams, faster reports, and higher customer value through data-driven F&B decision-making.
