CAVA Restaurant
Location & Customer Reviews Dataset
486 locations across 32 states with aggregate ratings and review counts. AI-powered sentiment scores and theme breakdowns by location for the fast-casual Mediterranean category.
Location data from $149 · Sentiment & Themes $450
486
U.S. Locations
32
States
14
Theme Categories
Who buys this data
Each buyer type has a different job to do. Here is how the dataset maps to each one.
Hedge Funds
Long/short consumer equity
Build alternative data signals on CAVA as a public company. Track same-store sentiment trends, watch for service degradation ahead of earnings, and compare customer experience against fast-casual peers.
Strategy & Research
Consultants, analysts, academics
A fully labeled, ready-to-analyze dataset on a publicly traded restaurant brand. Use it to study fast-casual consumer behavior, regional taste preferences, menu item reception, or the relationship between sentiment and expansion.
Private Equity
Growth & buyout funds
Evaluate individual locations before a transaction. Flag underperformers, validate unit economics narratives, and identify whether operational problems are isolated or systemic — before signing.
CAVA Operates in 32 States
All locations included. Ratings, review volumes, and performance metrics for every state CAVA is present in.
Texas
71
Locations
California
45
Locations
Florida
42
Locations
Virginia
37
Locations
North Carolina
30
Locations
Georgia
27
Locations
Maryland
27
Locations
New York
20
Locations
Massachusetts
19
Locations
Pennsylvania
15
Locations
+27 More States
Full geographic breakdown
14 Theme Categories
AI-powered topic classification organizes customer feedback into actionable categories for strategic insights.
Food
Value
Operations
Staff
Facility
Technology
Service
Food Quality
Food“The grains are always perfectly cooked and the lamb is incredibly flavorful. Everything tastes fresh and the portions are generous.”
Price & Value
Value“Love the food but it costs too much for a bowl, plus extra for protein is getting ridiculous. Not worth it anymore at these prices.”
Wait Time
Operations“The line was out the door at lunch and it took 25 minutes just to get to the counter. Way too long for fast casual.”
Portion Size
ValueStaff Friendliness
StaffCleanliness
FacilityOrder Accuracy
OperationsService Quality
ServiceMenu & Customization
FoodAtmosphere & Ambiance
FacilityOnline & Mobile Ordering
TechnologyLocation & Accessibility
OperationsData Distribution Insights
Performance metrics across states and location maturity levels.
Avg Rating by State
States with 10+ locations
Avg Rating by Review Volume
Location maturity analysis
Mature locations (300+ reviews) consistently outperform newer ones.
New locations average 0.35 stars lower during their first 100 reviews.
Top Performing Locations
486 locations ranked by rating and review volume. Star performers highlighted.
| Rank | Location | State | Rating | Reviews | Tier |
|---|---|---|---|---|---|
| 1 | CAVA Nashville 422 21st Ave S | Tennessee | 4.8 | 2,444 | star |
| 2 | CAVA Tempe 920 E University Dr | Arizona | 4.8 | 1,795 | star |
| 3 | CAVA Boston 125 Summer St | Massachusetts | 4.9 | 1,722 | star |
| 4 | CAVA Chicago 270 E Ontario St | Illinois | 4.8 | 1,671 | star |
| 5 | CAVA La Habra 1360 S Beach Blvd | California | 4.9 | 1,402 | star |
| 6 | |||||
| 7 | |||||
| 8 |
+481 More Locations
Full location intelligence with data purchase
Locations Needing Attention (< 4.0 rating)
| Location | State | Rating | Reviews |
|---|---|---|---|
CAVA Canton Township Canton Township, MI | Michigan | 3.6 | 827 |
CAVA Novi Novi, MI | Michigan | 3.7 | 280 |
CAVA Arlington Arlington, VA | Virginia | 3.6 | 423 |
What's in the Data
Every record is structured, labeled, and ready to load — no cleaning required.
Location Record
486 rows — one per CAVA location
location_idUnique identifier per locationnameStore name as listed publiclyaddress, city, state, zipFull mailing addressphoneContact numberhoursOperating hours by daygoogle_place_idStable Google Maps referencemaps_urlDirect Google Maps linkratingOverall star ratingreview_countTotal reviews at time of pullAI Enrichment Fields
Added to every review record
sentiment_score0–100 positive sentiment scoretopics[ ]18 CAVA-specific topics built by our team: food quality, portion size, wait time, staff, cleanliness, value, customization, and moretopic_sentiment[ ]Sentiment per individual topicmenu_items[ ]Extracted food/drink mentionsJSON & CSV
Both formats included. Load directly into Python, R, Excel, or any BI tool.
Private Repository
Access via a secure download link shared after purchase.
Weekly Updates
Annual subscribers receive a fresh pull every Monday.
Pricing
Choose the level of detail you need. Every tier delivers clean, structured data ready to use.
Location & Ratings
All locations with aggregate review metrics
$149 one-time
What's Included
- 486 locations across 32 states
- Name, address, city, state, zip code
- Phone number & operating hours
- Google Maps URL & Place ID
- Star rating per location
- Total review count per location
- —No sentiment or theme data
What You Can Derive
- →Number of locations per state or city
- →Market penetration by region
- →Top and lowest rated locations nationally
- →Review volume ranking by location
- →Geographic expansion patterns
- →Addressable market by metro area
Sentiment & Themes
Location data + AI analysis by location
$450 one-time
What's Included
- Everything in Location & Ratings
- Aggregate sentiment score per location
- 14 theme breakdowns per location
- Theme sentiment (positive/negative split)
- JSON + CSV delivery formats
- —No raw review text included
What You Can Derive
- →Everything in Location & Ratings
- →Sentiment ranking by location, state, region
- →Top and lowest performing locations
- →Most problematic themes per location
- →Food quality vs. service breakdown
- →Regional theme patterns & outliers
Custom
Multi-brand, API access & ongoing updates
Contact Us
What's Included
- Everything in Sentiment & Themes
- Multiple restaurant brands in one plan
- REST API with custom query filters
- Ongoing data updates (weekly/monthly)
- Custom theme categories
- Dedicated account manager & SLA
What You Can Derive
- →Cross-brand competitive benchmarking
- →Portfolio-level performance scoring
- →Build your own data products on top of ours
- →Programmatic access for internal tools
- →Industry benchmarks across brands
After purchase, you will receive access to a private download repository containing your data files. Review our before committing.
Not seeing what you need? We can accommodate custom data fields, delivery formats, or specific date ranges.
Frequently Asked Questions
What data formats are available?
Data is delivered in both JSON and CSV formats. JSON includes nested structures for reviews with their associated topic analysis, while CSV provides flat files optimized for spreadsheet analysis and database imports.
How often is the data updated?
One-time purchases receive a snapshot as of the purchase date. Annual subscribers receive weekly data refreshes every Monday, plus quarterly trend analysis reports with insights on sentiment shifts and emerging themes.
Can I get a sample before purchasing?
Yes. Click "Request Sample" to receive a sample dataset with 500 anonymized reviews including all AI enrichments. This lets you validate the data quality and schema before committing.
What sources are included?
This dataset includes Google Maps reviews only. Additional sources (Yelp, TripAdvisor, DoorDash, Uber Eats, Grubhub) are available upon request — contact us for a custom quote.
How is sentiment analysis performed?
Our NLP pipeline uses fine-tuned transformer models trained specifically on restaurant reviews. Each review is scored 0-100 for overall sentiment, plus individual scores for each of the 14 topic categories when mentioned.
Do you offer API access?
API access is available for annual subscribers and custom enterprise plans. The REST API supports querying reviews by location, date range, sentiment threshold, and topic filters with pagination.
Ready to Access CAVA Location Intelligence?
Get location data with sentiment scores and theme breakdowns to inform your investment decisions.