Tripadvisor
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review-title
Headline of the customer review
review-body
Full text of the customer review
rating
Overall bubble rating (1–5)
food-rating / service-rating / value-rating / atmosphere-rating
Per-category bubble sub-ratings (1–5), when the reviewer gave them
visit-date
Month/year of the visit
trip-type
Trip types such as Couples, Family, Friends, Solo, Business
review-date-written
Date the review was published
collected-in-partnership
Whether the review was solicited in partnership with the restaurant
reviewer-name
Display name of the reviewer
reviewer-location
Reviewer's home location
reviewer-contributions
Total reviews the reviewer has contributed
photo-count
Number of photos attached to the review
review-photo-urls
Links to the attached review photos
reviewer-profile-url
Links to the reviewer's TripAdvisor profile
reviewer-avatar-url
Links to the reviewer's profile picture
Category-Level Performance. Break reviews down by the food, service, value, and atmosphere sub-ratings to see exactly where the restaurant excels and where it falls short — far more actionable than a single overall score, and ideal for pinpointing what to fix or promote.
Trip-Context Segmentation. Segment sentiment by trip type — Couples, Family, Friends, Solo, Business — and visit date to learn how the experience lands for different guests and how it shifts across seasons, invaluable for tailoring offerings and messaging.
Solicited vs. Organic Review Analysis. Separate reviews collected in partnership with the restaurant from spontaneous ones to gauge how incentivized feedback skews the ratings, then weight your analysis and testimonials toward credible, organic voices.
Visual Social Proof & Reviewer Authority. Surface photo-rich reviews from high-contribution reviewers to feature the most credible, image-backed testimonials — real guests, real plates, shown as served.
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