TripAdvisor Dataset
Live and Historical Data Across TripAdvisor’s Global Review, Ranking, and Price-Comparison Platform
TripAdvisor isn’t the merchant of record for most of what it lists — a hotel page typically shows several OTA prices side by side (Booking.com, Expedia, Hotels.com, and others) for the same room, with TripAdvisor earning a referral fee when a click converts on a partner site rather than selling the room itself. That metasearch structure means “the TripAdvisor price” for a hotel is really several partner prices shown together, and tracking it properly means capturing all of them, not collapsing them into one number. TripAdvisor’s other core product — city-level rankings for restaurants and things to do, like “#3 of 245 Restaurants in Paris” — has no real equivalent on a transactional OTA at all.
That’s exactly what our dedicated Travel Data Scraping pipeline is built to capture for TripAdvisor specifically — a TripAdvisor Travel Dataset that ties multi-OTA hotel price comparisons, destination and attraction rankings, and review data together, refreshed on a schedule you control. It sits inside our broader Travel Dataset catalog, built on the same infrastructure as our Travel Data Scraping services, with custom builds available through our Web Scraping Services team.
Request Free Sample DatasetQuick Stats
Price From
$219Starting Price
Records
3.8M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
Travelstay
Core Coverage
2+ Yrs
Historical Depth
Global
Multi-Country Coverage
Daily
Refresh Cycle
Why Teams Choose Our TripAdvisor Dataset Over a DIY Crawl
A scraper that captures only “the” TripAdvisor price for a hotel is missing the point — most listings show several competing OTA prices at once, and which partner is cheapest can change by the day.
One Schema, Multi-OTA Pricing Intact
Hotel listings, per-partner price comparisons, destination rankings, and reviews all arrive in a single TripAdvisor dataset — with each OTA’s price kept distinct rather than averaged away.
City-Ranking Precision
Our TripAdvisor Destination Dataset captures a property or attraction’s exact rank position within its city and category, not just its raw review score.
Scoped to What You Actually Need
Pull specific destinations, categories, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.
Formats Your Tools Already Read
CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.
Live Comparisons, Plus Real History
See today’s multi-OTA price comparisons alongside 2+ years of historical ranking and review-score trends.
Restaurants and Attractions Covered
Coverage extends beyond hotels into restaurant rankings and things-to-do listings, since that content is as central to TripAdvisor’s catalog as accommodations.
What’s Actually Inside the TripAdvisor Dataset
The TripAdvisor dataset answers five practical questions: what hotels, restaurants, and attractions are listed, how they rank within their city and category, what a room actually costs across competing OTA partners, what booking terms apply through those partner links, and what customers say about the experience. Those five questions map to the five sub-datasets described below, keyed together on property, attraction, and OTA-partner identifiers.
Most clients start with the multi-OTA pricing layer, usually chasing a specific question — which partner is consistently cheapest for a given property, or how often does the cheapest OTA change week to week? Destination and hospitality teams lean on the ranking layer to understand how a property or attraction’s city-level position moves over time. Data teams mostly just want clean, timestamped records instead of raw page data, which is really the core value of buying a dataset instead of building a scraper from scratch. This dataset shares its collection standards with our broader Travel Dataset catalog.
What people actually build with this dataset:
- Multi-OTA rate comparison: Track which booking partner is cheapest for a given property, and how that changes over time.
- City-ranking movement tracking: Monitor how a restaurant or attraction’s position within its city and category shifts over time.
- Referral-click economics research: Understand which OTA partners appear most frequently as the featured price for a given property type.
- Destination-demand analysis: Use attraction and restaurant ranking data to identify emerging points of interest in a destination.
- Sentiment research: Mine the TripAdvisor Reviews Dataset for recurring complaints about property condition, service, or attraction experience.
Key Metrics
Price
$219.00Format
CSV / JSON / APIRecords
3.8M+ Verified RecordsCoverage
GlobalUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the TripAdvisor Dataset
Below is a small, illustrative slice of a single extract, showing multi-OTA price comparisons for a hotel listing and city-ranking data for a restaurant. Over 40 additional fields are available, including per-partner price-history timestamps and category-level ranking trends.
| Hotel ID | Hotel Name | Hotel Image | Price | Rating | Review Text | Reviews Count | Location Rating | Cleanliness Rating | Service Rating | Value Rating | Hotel URL | Hotel Reviews URL | Hotel Prices URL | Hotel Image 2 | Hotel Image 3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 623825 | Hotel DXB - Dubai International Hotel | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/30/d9/c3/4d/caption.jpg?w=300&h=300&s=1 | ₹12,583 | 4.6 | Very Good | 11,200 | 4.9 | 4.8 | 4.7 | 4.2 | https://www.tripadvisor.in/Hotel_Review-g295424-d623825-Reviews-Hotel_DXB_Dubai_International_Hotel-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d623825-Reviews-Hotel_DXB_Dubai_International_Hotel-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d623825-Reviews-Hotel_DXB_Dubai_International_Hotel-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/30/d9/c3/4d/caption.jpg?w=500&h=500&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/30/d9/c3/4d/caption.jpg?w=700&h=700&s=1 |
| 1022759 | Atlantis, The Palm | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/31/69/40/0d/atlantis-the-palm.jpg?w=300&h=300&s=1 | ₹1,00,494 | 4.7 | Very Good | 11,688 | 4.8 | 4.9 | 4.7 | 4.5 | https://www.tripadvisor.in/Hotel_Review-g295424-d1022759-Reviews-Atlantis_The_Palm-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d1022759-Reviews-Atlantis_The_Palm-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d1022759-Reviews-Atlantis_The_Palm-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/31/69/40/0d/atlantis-the-palm.jpg?w=600&h=600&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/31/69/40/0d/atlantis-the-palm.jpg?w=800&h=800&s=1 |
| 1631237 | Premier Inn Dubai International Airport | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/34/1e/bc/e7/exterior-with-shuttle.jpg?w=300&h=300&s=1 | ₹4,552 | 4.5 | Very Good | 7,520 | 4.5 | 4.6 | 4.5 | 4.4 | https://www.tripadvisor.in/Hotel_Review-g295424-d1631237-Reviews-Premier_Inn_Dubai_International_Airport-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d1631237-Reviews-Premier_Inn_Dubai_International_Airport-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d1631237-Reviews-Premier_Inn_Dubai_International_Airport-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/34/1e/bc/e7/exterior-with-shuttle.jpg?w=500&h=500&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/34/1e/bc/e7/exterior-with-shuttle.jpg?w=700&h=700&s=1 |
| 20326652 | Centara Mirage Beach Resort Dubai | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/29/44/4d/87/the-waterpark.jpg?w=300&h=300&s=1 | ₹17,729 | 4.7 | Very Good | 6,442 | 4.3 | 4.7 | 4.6 | 4.5 | https://www.tripadvisor.in/Hotel_Review-g295424-d20326652-Reviews-Centara_Mirage_Beach_Resort_Dubai-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d20326652-Reviews-Centara_Mirage_Beach_Resort_Dubai-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d20326652-Reviews-Centara_Mirage_Beach_Resort_Dubai-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/29/44/4d/87/the-waterpark.jpg?w=600&h=600&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/29/44/4d/87/the-waterpark.jpg?w=800&h=800&s=1 |
| 21410295 | Address Beach Resort | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1d/b3/69/32/the-beach.jpg?w=300&h=300&s=1 | ₹40,835 | 4.8 | Excellent | 3,734 | 4.9 | 4.9 | 4.8 | 4.6 | https://www.tripadvisor.in/Hotel_Review-g295424-d21410295-Reviews-Address_Beach_Resort-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d21410295-Reviews-Address_Beach_Resort-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d21410295-Reviews-Address_Beach_Resort-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1d/b3/69/32/the-beach.jpg?w=500&h=500&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1d/b3/69/32/the-beach.jpg?w=700&h=700&s=1 |
| 13513876 | Gevora Hotel | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/32/38/18/a3/caption.jpg?w=300&h=300&s=1 | ₹7,419 | 4.1 | Good | 1,843 | 4.7 | 4.1 | 4.1 | 4.1 | https://www.tripadvisor.in/Hotel_Review-g295424-d13513876-Reviews-Gevora_Hotel-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d13513876-Reviews-Gevora_Hotel-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d13513876-Reviews-Gevora_Hotel-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/32/38/18/a3/caption.jpg?w=500&h=500&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/32/38/18/a3/caption.jpg?w=700&h=700&s=1 |
| 27419527 | Five Luxe Jbr | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2b/83/2a/b0/caption.jpg?w=300&h=300&s=1 | ₹22,253 | 4.5 | Very Good | 875 | 4.8 | 4.7 | 4.6 | 4.5 | https://www.tripadvisor.in/Hotel_Review-g295424-d27419527-Reviews-Five_Luxe_Jbr-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d27419527-Reviews-Five_Luxe_Jbr-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d27419527-Reviews-Five_Luxe_Jbr-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2b/83/2a/b0/caption.jpg?w=600&h=600&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2b/83/2a/b0/caption.jpg?w=800&h=800&s=1 |
| 7309237 | Taj Dubai | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2c/21/b5/4b/taj-dubai-mahraja-suite.jpg?w=300&h=300&s=1 | ₹17,853 | 4.8 | Excellent | 6,680 | 4.8 | 4.9 | 4.8 | 4.6 | https://www.tripadvisor.in/Hotel_Review-g295424-d7309237-Reviews-Taj_Dubai-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d7309237-Reviews-Taj_Dubai-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d7309237-Reviews-Taj_Dubai-Dubai_Emirate_of_Dubai.html#/so/19489324 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2c/21/b5/4b/taj-dubai-mahraja-suite.jpg?w=500&h=500&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2c/21/b5/4b/taj-dubai-mahraja-suite.jpg?w=700&h=700&s=1 |
| 10263885 | FIVE Palm Jumeirah | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1c/2b/8c/45/five-palm-jumeirah-dubai.jpg?w=300&h=300&s=1 | ₹16,534 | 4.8 | Excellent | 13,744 | 4.7 | 4.7 | 4.6 | 4.5 | https://www.tripadvisor.in/Hotel_Review-g295424-d10263885-Reviews-FIVE_Palm_Jumeirah-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d10263885-Reviews-FIVE_Palm_Jumeirah-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d10263885-Reviews-FIVE_Palm_Jumeirah-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1c/2b/8c/45/five-palm-jumeirah-dubai.jpg?w=600&h=600&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1c/2b/8c/45/five-palm-jumeirah-dubai.jpg?w=800&h=800&s=1 |
| 306741 | One&Only Royal Mirage | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/13/84/24/fc/img-20180622-182022-largejpg.jpg?w=300&h=300&s=1 | ₹33,211 | 4.7 | Very Good | 6,660 | 4.6 | 4.9 | 4.8 | 4.4 | https://www.tripadvisor.in/Hotel_Review-g295424-d306741-Reviews-One_Only_Royal_Mirage-Dubai_Emirate_of_Dubai.html | https://www.tripadvisor.in/Hotel_Review-g295424-d306741-Reviews-One_Only_Royal_Mirage-Dubai_Emirate_of_Dubai.html#REVIEWS | https://www.tripadvisor.in/Hotel_Review-g295424-d306741-Reviews-One_Only_Royal_Mirage-Dubai_Emirate_of_Dubai.html#COMMERCE-COLLAPSED | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/13/84/24/fc/img-20180622-182022-largejpg.jpg?w=500&h=500&s=1 | https://dynamic-media-cdn.tripadvisor.com/media/photo-o/13/84/24/fc/img-20180622-182022-largejpg.jpg?w=700&h=700&s=1 |
The Five Layers of the TripAdvisor Dataset
Rather than one flat export, the TripAdvisor dataset splits into five connected layers, licensed individually or together as a complete TripAdvisor Travel Dataset, joined on common property, attraction, and OTA-partner keys.
TripAdvisor Hotel Dataset
The structured layer behind every hotel listing, built around the metasearch structure that defines how TripAdvisor actually presents accommodation pricing.
- Property name, star rating, location, and amenity list
- Room-type inventory and per-partner rate availability
- Photo and description content per property
- OTA-partner list shown for each property, including which partners are featured most prominently
TripAdvisor Destination Dataset
The layer behind TripAdvisor’s city-level ranking system for restaurants and things to do, which has no direct equivalent on a transactional OTA.
- Restaurant and attraction listings with city, category, and sub-category classification
- Exact rank position within city and category (for example, “#3 of 245 Restaurants”)
- Cuisine type, price range, and operating-hours data for restaurants
- Attraction type, duration, and booking-availability flags for things-to-do listings
TripAdvisor Pricing Dataset
Because TripAdvisor surfaces multiple OTA prices for the same hotel room, pricing here is inherently comparative rather than a single number.
- Per-OTA-partner price for the same property, room type, and date
- Price-change history by partner, tracked over time
- Featured or “TripAdvisor’s Choice” pricing-badge flags where applicable
- Tax and fee breakdowns as shown per partner where available
TripAdvisor Booking Dataset
Because bookings route through partner OTAs rather than TripAdvisor directly for most hotels, booking terms are captured at the partner-referral level.
- Referral-link destination (which OTA partner a booking click routes to)
- Cancellation and rate-plan terms as displayed per partner
- Attraction and restaurant booking-availability data where direct reservation is offered
- Package or bundled-experience data for tour and activity listings
TripAdvisor Reviews Dataset
Star ratings tell you something went wrong; written reviews tell you what, across hotels, restaurants, and attractions alike.
- Individual reviews with rating, review text, and submission date, across all listing types
- Verified-visit flag and anonymized reviewer identifier where available
- Aspect-level sentiment: service, cleanliness, value for money, and experience quality
- Rating distribution and review-velocity trends by property, restaurant, or attraction
Where the TripAdvisor Dataset Runs Deepest
TripAdvisor’s catalog spans a genuinely global set of destinations, with hotel, restaurant, and attraction density varying by market.
Europe
Deepest historical depth across major tourist cities for hotels, restaurants, and attractions alike.
North America
Strong coverage across major metros and leisure destinations.
Asia-Pacific
Growing attraction and restaurant density across major tourism markets.
Attractions & Things to Do
Tour, activity, and experience listings tracked across all covered destinations.
Add-Ons
Per-OTA-partner price-share analysis, city-ranking movement archives, and Traveler’s Choice award-history tracking.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Multi-OTA Price Monitoring
Track which booking partner is consistently cheapest for a property, and how that leadership shifts over time.
City-Ranking Movement Tracking
Monitor how a restaurant or attraction’s rank position shifts within its city and category over time.
Destination Demand Research
Use attraction and restaurant ranking trends to identify emerging points of interest before they peak.
OTA Referral-Share Analysis
Understand which booking partners appear most frequently as the featured price across a market or property type.
AI and LLM Training Data
Use the clean, labeled TripAdvisor Destination Dataset as training data for travel-recommendation and itinerary-planning models.
Sentiment and Quality Research
Mine review-level data across hotels, restaurants, and attractions to understand what drives satisfaction differences.
Who Actually Uses the TripAdvisor Dataset
Hotel chains, OTA platforms, market research firms, tourism boards, and investment teams tracking the global travel and hospitality sector.
Hotel Chains & Property Managers
Understand which OTA partner is winning the price comparison for their property on TripAdvisor.
OTA and Booking Platforms
Benchmark their own referral-share performance against competing partners on TripAdvisor listings.
AI & ML Companies
Source clean, structured destination and attraction data for travel-recommendation and itinerary models.
Market Research Firms
Build multi-country category reports on hospitality and tourism using multi-year historical depth.
Tourism Boards & Destination Marketers
Track attraction and restaurant ranking trends to understand destination-level demand shifts.
Investment & Analyst Teams
Track ranking and referral-share trends as alternative-data signals on the travel and hospitality sector.
What This Dataset Actually Saves You
Manually tracking multi-OTA price comparisons and city-ranking movement across thousands of properties, restaurants, and attractions isn’t realistic without automation.
Hours Back, Not Days
A structured feed replaces manual price-comparison checking entirely — what used to take a team days to compile is available on a schedule you set.
Forecasts Grounded in Real History
2+ years of ranking and pricing data lets you separate genuine seasonal demand from short-term ranking fluctuations.
Seeing the Full Multi-OTA Picture
A single price capture misses the point entirely on a metasearch platform. Tracking every partner’s price is what makes the comparison meaningful.
Built Around Your Pipeline, Not Ours
Pick the destinations, categories, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the TripAdvisor Data Collection Pipeline Actually Works
Here’s the straightforward version of how this gets built, not a marketing summary of it.
Collection Approach
Ethical, rate-limited collection from TripAdvisor’s publicly visible listing and comparison pages — no credential bypass, no restricted API access.
Validation Before Delivery
Every batch runs through automated schema checks, then a manual spot-check pass before it ships.
Deduplication
Repeat pulls of the same property, restaurant, or attraction are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep multi-OTA pricing and ranking fields current without you having to request a re-pull.
Stable Schema
Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.
Compliance
Only publicly available platform data is collected, consistent with standard commercial data practice and platform terms.
This methodology runs on the same Travel Data Scraping infrastructure behind our other travel-platform datasets — it’s a maintained pipeline, not a one-off project.
Delivered However Your Stack Expects It
Access the TripAdvisor Dataset in flexible formats with delivery options designed for seamless integration into your existing systems, analytics tools, and data workflows.
CSV / Excel
Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.
JSON / API Feed
Documented schema, ready for direct ingestion into your application backend or data pipeline.
Cloud Storage / Database
Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.
Pick the Plan That Matches Your Scope
Choose flexible TripAdvisor Dataset pricing plans tailored to your data volume, update frequency, and business requirements.
One-Time Dataset Purchase
From $219
A one-time TripAdvisor dataset snapshot, delivered right away — no subscription commitment.
What’s included:
- Full point-in-time dataset snapshot
- CSV, JSON, or Parquet delivery
- Filter by destination and category before delivery
Enterprise License
Contact Sales
Full-catalog, global coverage with unlimited access and an SLA behind it.
What’s included:
- Unlimited API calls and delivery volume
- Dedicated account manager, 99.5% SLA
- Custom schema design and white-label delivery
A Team That’s Actually Built This Before
WebDataInsights delivers reliable TripAdvisor Dataset solutions with accurate travel and metasearch data for market research and competitive intelligence.
Track Record at Scale
Millions of verified records collected and refreshed continuously across major global travel and metasearch platforms — TripAdvisor is one of several, not a one-off build.
Support That Doesn’t Disappear After Launch
Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.
Compliance-First, By Default
Only publicly accessible platform data is collected — no credential bypass, no restricted-API workarounds.
Custom Builds When You Need Them
Need a field, destination, or category we haven’t listed here? We build custom TripAdvisor dataset configurations on request.
Questions People Actually Ask Us About the TripAdvisor Dataset
These come from real conversations with hotel chains, OTA platforms, analysts, and engineering teams evaluating this dataset.
It’s a structured export of TripAdvisor’s travel and hospitality data — hotel listings with multi-OTA price comparisons, destination and attraction rankings, booking-referral data, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed.
Because TripAdvisor operates as a metasearch platform for most hotel listings, showing prices from several OTA partners (such as Booking.com, Expedia, and Hotels.com) side by side rather than selling the room directly. The dataset captures each partner’s price distinctly.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Multi-OTA pricing and rankings can refresh intraday on enterprise plans, since the cheapest partner and ranking positions can shift frequently. Listings update daily, and reviews update on a rolling basis.
Yes — tell us the destinations, categories (hotels, restaurants, attractions), fields, and refresh cadence you need, and we scope the extract accordingly rather than delivering a generic full export.
Yes, more than two years of historical ranking, review-score, and multi-OTA pricing data, useful for understanding movement over time.
Yes. The TripAdvisor Destination Dataset captures the exact rank position within a city and category, such as “#3 of 245 Restaurants,” not just the underlying review score.
All three. Restaurant and attraction listings, including city-level rankings, are covered as thoroughly as hotel listings and multi-OTA pricing.
Yes. Only publicly visible pages on TripAdvisor’s platform are collected, using rate-limited, ethical methods. We don’t bypass logins or access restricted internal APIs.
A DIY scrape typically returns inconsistent, messy data and is likely to capture only one OTA price when several are shown, or miss ranking-position data entirely. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Mostly hotel chains and property managers, OTA and booking platforms, market research firms, AI/ML teams, tourism boards, and investment analysts tracking the travel and hospitality sector.
Get a Real Look at TripAdvisor’s Travel Data
3.8M+ verified records, daily multi-OTA price and ranking refreshes, and 2+ years of historical depth across TripAdvisor’s global platform — starting at $219.