Who this is for
Hotel and restaurant chains tracking reputation across locations, PropTech and HospitalityTech tools feeding review intelligence engines, local tourism boards measuring destination attractiveness, M&A scouts evaluating hospitality acquisition targets, and travel brands running sentiment analysis.
What we extract per listing
- Identity: name, Tripadvisor ID, URL, category (restaurant, hotel, attraction), ranking in destination ("#17 of 1,240 restaurants").
- Contact: full address, phone, website, email when displayed.
- Classification: cuisines (for restaurants), star rating (for hotels), attraction subcategory, price range ($, $$, $$$, $$$$).
- Content: description, opening hours, images count, menu URL when available.
- Ratings: aggregate rating, rating breakdown (food, service, value, atmosphere for restaurants; cleanliness, location, value for hotels).
- Reviews: full review history with date, rating, reviewer handle, reviewer country, title, full text, visit context (couple, family, business).
- Reviewer data: contributor level, total reviews, home country.
Typical extraction scenarios
- Hospitality chain reputation: all reviews across 50 hotels of a chain, monthly, with sentiment scoring and drift alerts.
- Restaurant market intel: every restaurant ranked top-100 in 10 European capitals, with cuisine, price range and review density.
- Destination benchmarking: review count and average rating across all attractions in a given region, for tourism board KPI dashboards.
- Competitor audit: 20 direct competitor hotels with weekly review pulls and sentiment tracking.
- M&A scoping: independent restaurants with 500+ reviews and 4.5+ rating in a target city, for acquisition shortlist.
How the delivery works
- Brief: destination, category, rating and review-count thresholds, language filter on reviews.
- Extraction: iteration through Tripadvisor search + per-listing detail + review pagination.
- Enrichment: sentiment analysis per review (positive/negative/neutral + aspect scoring), topic modelling on review text, cross-match with Google Maps for max coverage.
- Dedup: on Tripadvisor ID and on name + address combination.
- Delivery: CSV / Google Sheet / BigQuery / S3 within 48-72h, or scheduled monthly reputation feed.
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