Top Food Delivery Companies in Singapore and How Businesses Use Their Data

Singapore’s food delivery market is active, competitive, and data-rich. With many Food Delivery Companies in Singapore offering restaurant delivery, online ordering, grocery delivery, reservations, and food marketplace services, businesses can access valuable insights by analyzing restaurant listings, menus, prices, reviews, delivery fees, offers, grocery products, and customer demand patterns.

For food-tech companies, restaurant chains, grocery brands, market research firms, pricing teams, and analytics companies, this data can help identify market gaps, track competitors, improve pricing strategies, understand cuisine trends, and build smarter business intelligence dashboards.

FoodSpark helps businesses access structured Singapore food delivery data through custom food data scraping services, food delivery APIs, grocery data APIs, and ready-to-use datasets. Whether you need restaurant data, menu data, grocery pricing data, review data, or delivery insights, FoodSpark can deliver clean data in API, CSV, JSON, Excel, database, or cloud-ready formats.

Singapore Food Delivery Market Overview

Singapore has a mature digital food ecosystem where consumers use food delivery apps, restaurant ordering platforms, grocery delivery services, and booking platforms to discover, compare, and order food. Platforms such as GrabFood, foodpanda, Oddle Eats, Chope, FairPrice Online, and RedMart generate useful business data across restaurants, menus, grocery products, pricing, delivery availability, and local demand.

GrabFood offers food delivery and restaurant takeout in Singapore, while foodpanda also supports grocery delivery through pandamart. Oddle Eats positions itself as a Singapore online food delivery directory with over 1,500 participating restaurants, and Chope supports restaurant discovery, bookings, deals, pickup, and delivery-related ordering features. FairPrice Online is the e-commerce portal of NTUC FairPrice, described as Singapore’s largest grocery retailer, while RedMart provides online grocery and home delivery in Singapore.

For businesses, this creates a strong opportunity to use food delivery data for market research, competitor tracking, price monitoring, restaurant benchmarking, grocery analytics, and AI-ready data models.

Top Food Delivery Companies in Singapore

Below are some of the major food, restaurant, and grocery-related platforms businesses should track in Singapore.

Company / Platform	Business Type	Useful Data for Businesses
GrabFood	Food delivery and restaurant takeout	Restaurant listings, menus, prices, offers, delivery locations
foodpanda	Food and grocery delivery	Restaurant menus, pandamart grocery data, delivery fees, offers
Oddle Eats	Restaurant delivery directory	Restaurant listings, cuisines, menu data, delivery availability
Chope	Restaurant discovery and booking	Restaurant profiles, reservations, deals, cuisines, dining demand
FairPrice Online	Online grocery delivery	Grocery products, prices, stock status, delivery slots, categories
RedMart	Online grocery platform	Fresh food, grocery items, household products, pricing, delivery slots

One important point is that platform availability changes over time. For example, Deliveroo’s Singapore website currently states that Deliveroo no longer operates in Singapore, so businesses should verify active platforms before building a data strategy.

Why Food Delivery Data Matters for Singapore Businesses

Food delivery data is not only useful for delivery companies. It is valuable for any business that wants to understand the Singapore food market more clearly.

Restaurants can use data from Food Delivery Companies in Singapore to compare menu prices, analyze competitor dishes, track customer ratings, and identify popular cuisine categories. Grocery brands can monitor product availability, stock status, pricing, and category-level demand, while food-tech companies can use delivery and restaurant data to build apps, dashboards, recommendation engines, market intelligence tools, or AI models.

For market research firms, Singapore food delivery datasets can help uncover trends such as:

Business Question	Data Needed
Which cuisines are popular in Singapore?	Restaurant category and menu data
Which brands are listed across grocery platforms?	Grocery product and brand data
How are competitors pricing similar items?	Menu prices and product prices
Which restaurants have strong customer ratings?	Review and rating data
Which locations have high restaurant density?	Restaurant location and coverage data
Which grocery items go out of stock often?	Stock availability and product data
How do delivery fees vary by area?	Delivery fee and location data

FoodSpark turns this scattered data into structured outputs that businesses can use for reporting, analytics, dashboards, research, and automation.

What Data Can Be Collected from Singapore Food Delivery Platforms?

Food delivery and grocery platforms contain different types of data depending on the platform type. Restaurant delivery apps may include menus, prices, ratings, reviews, cuisine categories, and delivery availability. Grocery platforms may include product names, prices, stock status, pack sizes, brands, offers, and delivery slots.

FoodSpark can help businesses collect the following data points:

Data Category	Examples
Restaurant Data	Restaurant name, address, cuisine, opening hours, location
Menu Data	Menu item name, description, category, price, add-ons
Pricing Data	Item price, discount, combo price, delivery fee, service fee
Review Data	Ratings, reviews, review count, customer feedback
Delivery Data	Delivery time, delivery area, availability, service coverage
Offer Data	Coupons, promo tags, limited-time discounts, combo offers
Grocery Data	Product name, brand, pack size, category, stock status
Location Data	City, area, postal code, latitude, longitude
Platform Data	Source platform, listing URL, product URL, restaurant URL

This data can be delivered through API, CSV, Excel, JSON, database, or custom cloud storage depending on the project requirement.

How Businesses Use Singapore Food Delivery Data

Competitor Tracking

Food delivery data helps businesses compare restaurant menus, pricing, ratings, reviews, delivery fees, discounts, and promotional offers across platforms. This is useful for restaurants, cloud kitchens, delivery brands, and food-tech companies that want to understand how competitors are positioning themselves.

For example, a restaurant chain can track similar cuisine restaurants across GrabFood, foodpanda, and Oddle Eats to compare dish pricing, ratings, delivery availability, and offer strategies.

Menu Intelligence

Menu data helps businesses understand which dishes, cuisines, categories, and add-ons are commonly listed across Singapore food delivery platforms. This can support menu planning, product innovation, pricing decisions, and category benchmarking.

FoodSpark can collect menu item names, descriptions, prices, categories, images, availability, add-ons, and combo details to build structured menu intelligence datasets.

Pricing Strategy

Food prices can change due to promotions, demand, competition, delivery fees, and platform-specific pricing. With food delivery data scraping, businesses can track menu prices, grocery prices, discounts, delivery charges, and service fees across selected platforms.

This helps pricing teams identify price gaps, monitor competitor discounts, and make better pricing decisions.

Grocery Analytics

Singapore’s online grocery market includes platforms such as FairPrice Online, RedMart, and pandamart. These platforms generate useful product-level data such as grocery item names, brands, pack sizes, prices, stock availability, offers, and delivery slots. foodpanda’s pandamart grocery service highlights grocery delivery in Singapore, while RedMart promotes online grocery and home delivery with fresh food, household products, and delivery slot selection.

Grocery brands, retailers, and market research teams can use this data to monitor product availability, category trends, competitor pricing, and promotion strategies.

Restaurant Expansion Planning

Restaurant location data can help identify where certain cuisines are popular, which areas have high restaurant density, and where there may be market gaps. Businesses can combine restaurant listings, ratings, reviews, cuisine categories, and location data to make better expansion decisions.

For example, if an area has high demand for Indian food, Korean food, vegan food, or premium desserts but limited strong competitors, that location may be worth further research.

Review and Rating Analysis

Customer ratings and reviews reveal what people like or dislike about restaurants, menu items, delivery quality, packaging, pricing, and service. Businesses can use review data for sentiment analysis, customer experience improvement, competitor benchmarking, and brand monitoring.

FoodSpark can provide review-ready datasets that help analytics teams study rating patterns, review volume, customer feedback, and restaurant performance.

AI Model Training and Analytics

Food and grocery datasets are useful for AI model training, recommendation systems, price prediction, demand forecasting, NLP-based review analysis, and dashboard reporting.

FoodSpark provides clean and structured Singapore food delivery datasets that can be used for AI workflows, machine learning models, business intelligence dashboards, and internal analytics tools.

Food Delivery Data Scraping Services in Singapore

FoodSpark provides custom food delivery data scraping services in Singapore for businesses that need accurate restaurant, menu, pricing, review, offer, delivery, and grocery data. Our team can collect structured data from food delivery apps, restaurant platforms, grocery marketplaces, and online ordering websites based on selected platforms, locations, data fields, and update frequency.

Our Singapore food delivery data scraping services can support:

Service Area	What We Collect
Restaurant Data Scraping	Restaurant names, addresses, cuisines, ratings, locations
Menu Data Scraping	Menu items, descriptions, categories, prices, add-ons
Pricing Data Scraping	Menu prices, discounts, combo offers, delivery fees
Grocery Data Scraping	Product names, prices, stock, brands, categories
Review Data Scraping	Customer reviews, ratings, feedback, review count
Delivery Data Scraping	Delivery time, delivery zone, availability, fees
Location-Based Scraping	Postal code, area, city, latitude, longitude

FoodSpark can deliver one-time datasets or recurring data updates based on real-time, hourly, daily, weekly, monthly, or custom schedules.

Food Delivery Data API Singapore

For businesses that need recurring or real-time access, FoodSpark offers custom food delivery data APIs for Singapore. The API can deliver structured restaurant, menu, pricing, grocery, review, rating, offer, and delivery data directly into dashboards, internal tools, pricing engines, analytics platforms, or AI systems.

A Singapore food delivery data API is useful for:

Food-tech applications
Market intelligence dashboards
Restaurant analytics platforms
Grocery price monitoring tools
Competitor tracking systems
AI and machine learning pipelines
Delivery fee comparison tools
Internal business intelligence reports

FoodSpark can customize the API based on platforms, categories, product lists, restaurant lists, locations, data fields, and refresh frequency.

Singapore Food Delivery Datasets for Market Research

FoodSpark also provides ready-to-use Singapore food delivery datasets for market research, restaurant benchmarking, grocery analysis, AI model training, and pricing studies.

Businesses can request:

Dataset Type	Best For
Singapore Restaurant Dataset	Restaurant coverage, cuisine trends, location analysis
Singapore Menu Dataset	Menu pricing, dish analysis, category comparison
Singapore Grocery Dataset	Product prices, stock, categories, brand tracking
Singapore Review Dataset	Sentiment analysis, customer feedback, rating trends
Singapore Delivery Dataset	Delivery fees, ETA, availability, delivery zones

These datasets can be customized by platform, cuisine, category, location, product type, delivery zone, or update frequency.

Why Choose FoodSpark for Singapore Food Delivery Data?

FoodSpark specializes in food, grocery, restaurant, menu, pricing, review, and delivery data. Instead of relying on manual research or incomplete public information, businesses can use FoodSpark to get structured, clean, and analytics-ready datasets.

Why FoodSpark	Business Benefit
Food Industry Focus	Specialized in restaurant, grocery, menu, and delivery data
Custom Data Coverage	Choose platforms, locations, fields, and refresh frequency
Flexible Delivery Formats	API, CSV, JSON, Excel, database, or cloud delivery
AI-Ready Data Output	Clean data prepared for analytics, BI, and AI models
Scalable Infrastructure	Suitable for one-time datasets or recurring data feeds
Business-Focused Insights	Supports pricing, research, competitor tracking, and expansion

FoodSpark helps businesses reduce manual research, improve data accuracy, and turn Singapore food delivery data into actionable market intelligence.

Use Cases by Business Type

Business Type	How They Can Use Singapore Food Delivery Data
Restaurants	Compare menus, prices, ratings, and competitor offers
Cloud Kitchens	Identify cuisine gaps, pricing trends, and high-demand areas
Food-Tech Companies	Build apps, dashboards, recommendation tools, and analytics platforms
Grocery Brands	Track product prices, stock status, availability, and promotions
Market Research Firms	Analyze restaurant coverage, food trends, and local demand
Pricing Teams	Monitor menu prices, delivery fees, and discount strategies
AI Companies	Train models using structured food, menu, review, and grocery data
Investors and Consultants	Study market performance, competition, and growth opportunities

FAQs: Singapore Food Delivery Companies and Data

What are the top food delivery companies in Singapore?

Top food delivery and food-related platforms in Singapore include GrabFood, foodpanda, Oddle Eats, Chope, FairPrice Online, and RedMart. The right platform list depends on whether you need restaurant delivery, grocery delivery, restaurant discovery, reservations, or food marketplace data.

Does Deliveroo still operate in Singapore?

Deliveroo’s Singapore website currently says that Deliveroo no longer operates in Singapore. Businesses should verify current platform availability before planning Singapore food delivery data extraction.

Can FoodSpark collect food delivery data from Singapore platforms?

Yes. FoodSpark provides custom food delivery data scraping services for Singapore platforms, including restaurant listings, menus, prices, offers, reviews, ratings, delivery fees, grocery products, and availability data.

Can I get Singapore food delivery data through API?

Yes. FoodSpark can deliver Singapore food delivery data through custom APIs for real-time, hourly, daily, weekly, or scheduled access.

What data can be extracted from Singapore food delivery apps?

Businesses can extract restaurant names, menus, item prices, cuisines, ratings, reviews, delivery fees, offers, availability, grocery products, stock status, and location-based data.

Does FoodSpark provide Singapore restaurant datasets?

Yes. FoodSpark provides Singapore restaurant datasets for market research, competitor analysis, food-tech platforms, AI models, and business intelligence dashboards.

Can I track food prices across Singapore delivery platforms?

Yes. FoodSpark can help track menu prices, grocery prices, discounts, delivery charges, service fees, and promotional offers across selected Singapore platforms.

Can FoodSpark provide grocery delivery data in Singapore?

Yes. FoodSpark can collect grocery product data, prices, categories, stock availability, offers, and delivery information from Singapore grocery platforms such as foodpanda’s pandamart, FairPrice Online, and RedMart.

How often can Singapore food delivery data be updated?

Singapore food delivery data can be updated in real time, hourly, daily, weekly, monthly, or delivered as a one-time export depending on business requirements.

Who needs Singapore food delivery datasets?

Food-tech companies, restaurant chains, cloud kitchens, grocery brands, market research firms, pricing teams, delivery platforms, AI companies, and analytics teams can use Singapore food delivery datasets.

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