Restaurant name, location, cuisine type, contact info, and service type (dine-in, takeaway, or delivery).
Real-time data on menu items, pricing, portion size, discounts, and delivery charges.
Analyze restaurant performance, review sentiment, and customer preferences.
Updated hourly, daily, or weekly as per your data requirements.
Access region-specific Foodora Canada datasets for India, UAE, Singapore, Australia, and more.
Delivered in CSV, Excel, JSON, or via Foodora Canada Scraping API.
Comprehensive Data for Food & Delivery Market Intelligence
Use our Foodora Canada Restaurant, Menu & Review Datasets to analyze menu prices, delivery time, customer reviews, and location-based restaurant performance. This dataset provides granular insights into restaurant operations, food trends, and consumer ratings across top cities.
These Foodora Canada Food Trends & Ratings Datasets are ideal for brands, investors, and researchers looking to understand market competition, pricing evolution, and changing dining habits.
Harness this data to:
Our Foodora Canada datasets are refreshed regularly to maintain accuracy, helping you scrape Foodora Canada delivery data and extract insights efficiently across all restaurant categories.
| order_id | item_id | item_sku | item_name | category | sub_category | brand | quantity | unit | description | store_id | store_name | region | coverage_area | fulfillment_type | store_rating | base_price(CAD) | discount_price(CAD) | final_price(CAD) | taxes_pct | delivery_fee(CAD) | promotion | price_updated_at | order_date | delivery_time_mins | customer_id | customer_name | customer_email | customer_phone | order_status | payment_method | review_id | rating | review_text | sentiment | stock_level | inventory_last_updated |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4001 | 80001 | FD-CA-1001 | Margherita Pizza | Pizza | Italian | Foodora | 1 | pcs | Classic Margherita | F001 | Foodora Downtown | ON | Toronto | Delivery | 4.6 | 17 | 15.5 | 15.95 | 13 | 3.5 | Weekend Deal | 12/3/2025 12:10 | 12/3/2025 | 35 | C301 | John Doe | john.doe@foodora.ca | 416-555-101 | Delivered | Credit Card | R301 | 5 | Hot and delicious | Positive | 50 | 12/3/2025 12:00 |
| 4002 | 80002 | FD-CA-1002 | Cheeseburger | Burgers | Fast Food | Foodora | 1 | pcs | Classic Cheeseburger | F002 | Foodora Midtown | ON | Toronto | Delivery | 4.5 | 6.75 | 6.25 | 6.64 | 13 | 2.5 | Lunch Combo | 12/3/2025 12:15 | 12/3/2025 | 20 | C302 | Alice Smith | alice.smith@foodora.ca | 416-555-102 | Delivered | Cash | R302 | 4 | Juicy and tasty | Positive | 40 | 12/3/2025 12:05 |
| 4003 | 80003 | FD-CA-1003 | Caesar Salad | Salads | Healthy | Foodora | 1 | bowl | Fresh Caesar Salad | F003 | Foodora Uptown | ON | Toronto | Delivery | 4.4 | 8.5 | 8 | 8.28 | 13 | 2 | Healthy Choice | 12/3/2025 12:20 | 12/3/2025 | 15 | C303 | Mark Lee | mark.lee@foodora.ca | 416-555-103 | Delivered | Credit Card | R303 | 5 | Fresh and tasty | Positive | 60 | 12/3/2025 12:10 |
| 4004 | 80004 | FD-CA-1004 | Fries | Sides | Potato | Foodora | 2 | pack | Crispy fries | F003 | Foodora Uptown | ON | Toronto | Delivery | 4.4 | 3.75 | 3.5 | 3.64 | 13 | 2 | Snack Promo | 12/3/2025 12:25 | 12/3/2025 | 12 | C304 | Sarah Kim | sarah.kim@foodora.ca | 416-555-104 | Delivered | Credit Card | R304 | 4 | Hot and crispy | Positive | 100 | 12/3/2025 12:15 |
| 4005 | 80005 | FD-CA-1005 | Chicken Wrap | Wraps | Chicken | Foodora | 1 | pcs | Spicy Chicken Wrap | F004 | Foodora Eastside | ON | Toronto | Delivery | 4.5 | 7.75 | 7.25 | 7.41 | 13 | 2.5 | Lunch Deal | 12/3/2025 12:30 | 12/3/2025 | 18 | C305 | David Park | david.park@foodora.ca | 416-555-105 | Delivered | Credit Card | R305 | 5 | Spicy and tasty | Positive | 30 | 12/3/2025 12:20 |
| 4006 | 80006 | FD-CA-1006 | Chocolate Cake | Dessert | Bakery | Foodora | 1 | slice | Rich Chocolate Cake | F005 | Foodora Downtown | ON | Toronto | Delivery | 4.6 | 4.5 | 4.2 | 4.44 | 13 | 2 | Dessert Promo | 12/3/2025 12:35 | 12/3/2025 | 15 | C306 | Emma White | emma.white@foodora.ca | 416-555-106 | Delivered | PayPal | R306 | 4 | Creamy and rich | Positive | 50 | 12/3/2025 12:30 |
| 4007 | 80007 | FD-CA-1007 | Spicy Chicken Sandwich | Burgers | Chicken | Foodora | 1 | pcs | Hot & Spicy | F002 | Foodora Midtown | ON | Toronto | Delivery | 4.5 | 6.75 | 6.25 | 6.64 | 13 | 2.5 | Evening Promo | 12/3/2025 12:40 | 12/3/2025 | 22 | C307 | Michael Brown | michael.brown@foodora.ca | 416-555-107 | Delivered | Credit Card | R307 | 5 | Perfectly spicy | Positive | 40 | 12/3/2025 12:35 |
| 4008 | 80008 | FD-CA-1008 | Coffee | Beverages | Hot Drinks | Starbucks | 2 | cup | Medium Roast | F006 | Starbucks Toronto | ON | Toronto | Delivery | 4.7 | 5 | 4.5 | 4.73 | 13 | 2.5 | Morning Promo | 12/3/2025 12:45 | 12/3/2025 | 10 | C308 | Linda Green | linda.green@foodora.ca | 416-555-108 | Delivered | Credit Card | R308 | 4 | Hot and fresh | Positive | 70 | 12/3/2025 12:40 |
| 4009 | 80009 | FD-CA-1009 | Chicken Nuggets | Sides | Nuggets | Foodora | 1 | box | 6-piece nuggets | F003 | Foodora Uptown | ON | Toronto | Delivery | 4.4 | 4.5 | 4 | 4.32 | 13 | 2 | Combo Deal | 12/3/2025 12:50 | 12/3/2025 | 12 | C309 | Kevin Lee | kevin.lee@foodora.ca | 416-555-109 | Delivered | Credit Card | R309 | 5 | Crispy and tasty | Positive | 60 | 12/3/2025 12:45 |
| 4010 | 80010 | FD-CA-1010 | Bottled Water | Beverages | Water | Aquafina | 6 | bottles | Pure drinking water | F001 | Foodora Downtown | ON | Toronto | Delivery | 4.6 | 6 | 5.5 | 5.92 | 13 | 3 | Bulk Buy | 12/3/2025 12:55 | 12/3/2025 | 15 | C310 | Olivia Jones | olivia.jones@foodora.ca | 416-555-110 | Delivered | Credit Card | R310 | 5 | Refreshing and clean | Positive | 120 | 12/3/2025 12:50 |
Core
FieldsRestaurant names, cuisines, locations, ratings, photos, and contact information across cities.
Menu item details, pricing, offers, and menu changes across restaurants and regions.
Track delivery time, availability windows, delivery charges, and distance-based fees.
Customer reviews, ratings, review sentiment, and verified user feedback across categories.
Analyze emerging cuisines, customer preferences, top-rated dishes, and rating shifts by season or region.
Restaurant availability, geolocation, service hours, and online/offline status.
Quality and normalizationOur Foodora Canada datasets cover 50+ countries and 500+ major cities, including:
India, UAE, Singapore, Australia, UK, Canada, Germany, and Indonesia.
Each dataset includes real-time data per restaurant and location, helping businesses perform food delivery data extraction and location-based insights for competitive advantage.
For
Food Delivery PlatformsBenchmark restaurant pricing and menu strategy.
Identify high-demand cuisines and customer favorites.
For
FMCG & Restaurant ChainsMonitor brand reputation and customer reviews across regions.
Track delivery efficiency and customer satisfaction.
For
Data Analysts & ResearchersStudy city-wise food trends and rating patterns.
Analyze demand spikes during festivals and weekends.
For
AI/ML TeamsTrain models for food recommendation, review classification, and delivery forecasting.
Gain instant visibility into restaurant menus, pricing, and ratings with real-time & historical Foodora Canada datasets.
Use structured data to predict dining trends, customer preferences, and menu performance across regions.
Benchmark restaurant pricing and delivery performance to stay ahead in fast-changing food markets.
Access only the Foodora Canada data your business needs — fully filtered by cuisine, city, or restaurant type.
We offer flexible plans to fit every business need:
Best for research projects.
CSV, JSON, Parquet.
Regularly updated datasets delivered automatically.
Access all Foodora Canada regions with unlimited API calls.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.
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✔ Scraped Data, SKU availability, delivery time
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
