Olive Garden Restaurant Data, Oakville menu, prices & reviews
Complete dataset for the Olive Garden restaurant in Oakville, Canada — menu items, pricing, daily specials, operating hours, customer reviews, and ratings. Delivered as JSON, CSV, or Excel, refreshed daily.
Entrees, drinks & specials
Guest sentiment analysis
Trusted data from leading platforms
Olive Garden Oakville data, without the complexity of building a scraper
Olive Garden is one of the most popular Italian-American chains in Canada, and the Oakville location serves thousands of customers every month. Understanding its menu, pricing, customer sentiment, and operational hours is critical for competitors, market researchers, and investors — but scraping this data is a headache. Websites use anti‑bot measures, dynamic content, and frequent layout changes.
The Olive Garden — Oakville Dataset gives you clean, structured data on menu items, prices, daily specials, operating hours, and customer reviews. You get the intelligence without the infrastructure.
- Complete menu — appetizers, entrees, desserts, drinks
- Item prices and daily specials
- Operating hours (weekday, weekend, holidays)
- Customer reviews, ratings, and sentiment analysis
- Free sample export before you commit
The same Olive Garden records, in whichever format your stack expects
No conversion step, no separate schema to learn – switch formats any time without touching your pipeline.
{
"item_name": "Fettuccine Alfredo",
"category": "Entree",
"price": 18.99,
"description": "Rich, creamy Alfredo sauce over fettuccine",
"calories": 850,
"last_updated": "2026-07-26"
},
{
"item_name": "Chicken & Gnocchi Soup",
"category": "Soup",
"price": 7.49,
"description": "Hearty soup with chicken, gnocchi, and vegetables",
"calories": 310,
"last_updated": "2026-07-26"
}
]
| item_name | category | price | description | calories | last_updated |
|---|---|---|---|---|---|
| Fettuccine Alfredo | Entree | 18.99 | Rich, creamy Alfredo sauce over fettuccine | 850 | 2026-07-26 |
| Chicken & Gnocchi Soup | Soup | 7.49 | Hearty soup with chicken, gnocchi, and vegetables | 310 | 2026-07-26 |
| Lasagna Classico | Entree | 16.99 | Classic baked lasagna with meat sauce | 920 | 2026-07-26 |
| Strawberry Lemonade | Beverage | 3.99 | Fresh lemonade with strawberry puree | 180 | 2026-07-26 |
| A · item_name | B · category | C · price | D · description | E · calories | |
|---|---|---|---|---|---|
| 1 | Fettuccine Alfredo | Entree | 18.99 | Rich, creamy Alfredo sauce over fettuccine | 850 |
| 2 | Chicken & Gnocchi Soup | Soup | 7.49 | Hearty soup with chicken, gnocchi, and vegetables | 310 |
| 3 | Lasagna Classico | Entree | 16.99 | Classic baked lasagna with meat sauce | 920 |
| 4 | Strawberry Lemonade | Beverage | 3.99 | Fresh lemonade with strawberry puree | 180 |
From request to a running restaurant data feed
Request a sample
Tell us the data points you care about — no commitment needed.
Review real data
We send a live export so you can check schema, coverage, and quality against your own use case.
Pick a plan
Choose coverage and refresh frequency based on what the sample showed you.
Choose your delivery
JSON, CSV, Excel, S3, or a direct warehouse connection – set once, delivered on schedule.
Data keeps flowing
Daily refresh on menu, prices, and reviews, with monitoring in place if the restaurant changes anything upstream.
What makes this restaurant dataset reliable
Built for restaurant website anti‑bot measures
Restaurant websites often use anti‑scraping and dynamic content. Our infrastructure is engineered to handle these challenges, giving you reliable data every time.
Daily refresh on menu, prices, and reviews
Menu items and prices can change daily. We refresh daily by default, with more frequent options available on Growth and Enterprise plans.
Review & sentiment analysis
We capture customer reviews and ratings, and perform sentiment analysis to help you understand guest satisfaction and common trends.
One schema, every format
JSON, CSV, and Excel exports all share the same field names and types, so moving between tools or formats never means remapping your pipeline.
99.95% uptime SLA
The dataset runs on the same infrastructure as our enterprise API, backed by a contractual uptime commitment on Growth and Enterprise plans.
A team that answers
Questions about schema, coverage, or a field you don't see get answered by someone who understands the dataset, not a ticket queue.
Every field included, in plain terms
| Field | Description | Type |
|---|---|---|
| item_name | Name of the menu item | Core |
| category | Category (Appetizer, Entree, Soup, Dessert, Beverage, etc.) | Core |
| price | Current price in CAD | Pricing |
| description | Item description | Core |
| calories | Calorie count (if available) | Optional |
| is_special | Daily / weekly special indicator | Optional |
| rating | Average customer rating (1–5) | Core |
| review_count | Total number of customer reviews | Core |
| sentiment | Sentiment classification (positive, neutral, negative) | Optional |
| review_text | Sample customer review text | Optional |
| hours_mon_fri | Operating hours (Monday–Friday) | Core |
| hours_sat_sun | Operating hours (Saturday–Sunday) | Core |
| holiday_hours | Special hours for holidays | Optional |
| address | Restaurant address (Oakville, ON) | Core |
| phone | Phone number | Core |
| last_updated | Timestamp of most recent refresh | Core |
Priced by coverage, not by seat
Every plan includes JSON, CSV, and Excel delivery, plus a free sample before you commit.
Sample
Validate schema and quality before buying.
- Real, current Olive Garden data
- JSON, CSV, or Excel
- Delivered within 1 business day
Starter
A single restaurant location, daily refresh.
- 1 location (Oakville)
- Daily menu & price refresh
- JSON, CSV & Excel delivery
- Email support
Growth
Multiple locations or chains, hourly refresh.
- Multiple locations in Canada
- Hourly price & menu refresh
- Warehouse & S3 delivery
- Chat & email support, <4h
Enterprise
Full chain coverage, custom SLA.
- All Canadian locations
- 99.95% uptime SLA
- Dedicated account manager
- Custom schema fields on request
Get it however your team already works
Dataset vs. an in‑house restaurant scraper
| Capability | ScraperScoop Dataset | In‑house scraper |
|---|---|---|
| Time to first data | Same day (sample) | Weeks to months |
| Anti‑bot handling | ||
| Review & sentiment analysis | ||
| Maintenance when restaurant changes | Handled for you | Your team's responsibility |
| Excel‑ready export |
Teams using restaurant data to power their business
"We used this dataset to track menu changes and price trends at Olive Garden Oakville. The daily refresh gave us the competitive edge we needed."
"We were manually checking Olive Garden's menu and reviews every week. ScraperScoop saved us hours and gave us more data than we could collect ourselves."
"The sentiment analysis on reviews helped us understand what customers really think. We used it to improve our own restaurant's service."
Questions about the Olive Garden — Oakville Dataset
See real Olive Garden Oakville data before you decide anything
Request a free sample and validate the dataset against your specific use case – menu analysis, price monitoring, or guest sentiment tracking.
No commitment required to see real data first.
