TripAdvisor Review Data and Hotel Reputation Monitoring Tool

Export every TripAdvisor review for any hotel, restaurant, or attraction into a clean spreadsheet or JSON file. Get star ratings, full review text, trip type, traveler origin, stay dates, owner responses, and aggregate property ratings for your property and every competing destination.

Built for hotel operators, restaurant owners, travel agencies, and STR managers who need TripAdvisor review data without paying for a hospitality reputation subscription.

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Who uses this and why

flowchart TD
    A[Hotel Operators] -->|Catch sentiment dips<br/>before revenue drops| D[TripAdvisor<br/>Review Data]
    B[Restaurant Owners] -->|See what rivals are<br/>praised and hated for| D
    C[Travel Agencies] -->|Pre vet properties<br/>before packaging trips| D
    R[STR Managers] -->|Benchmark listings<br/>across every city| D
    D --> E[Weekly sentiment report]
    D --> F[Competitor gap analysis]
    D --> G[Guest complaint triage]

Role	What this gives you
Hotel operator	Weekly review volume, star trends, stay date ranges, owner reply coverage
Restaurant owner	Side by side sentiment vs direct local competitors
Travel agency	Pre trip due diligence on every property in a package
STR manager	Benchmark your listing against every vacation rental in the area
BI analyst	Clean JSON or CSV ready for dashboards and sentiment models

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How it works

flowchart LR
    A[TripAdvisor<br/>location URL] --> B[Load review pages]
    B --> C[Parse schema.org<br/>metadata]
    C --> D[Expand truncated<br/>review bodies]
    D --> E[Walk review cards<br/>across pagination]
    E --> F[Normalize fields]
    F --> G[(JSON, CSV, or Excel)]

The actor visits each TripAdvisor location page, reads the schema.org metadata TripAdvisor ships for aggregate ratings, expands every truncated review body, and walks through all reviews 10 at a time. Residential proxies keep you past the Cloudflare gate. Same data TripAdvisor shows in its own UI, delivered as a clean dataset.

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What one review record looks like

{
  "reviewId": "987654321",
  "locationName": "The Pierre, A Taj Hotel, New York",
  "locationType": "LodgingBusiness",
  "locationAggregateRating": 4.5,
  "locationReviewCount": 2168,
  "locationCity": "New York City",
  "locationCountry": "US",
  "rating": 5,
  "title": "Flawless anniversary stay",
  "text": "Stayed in a corner suite overlooking Central Park for our 10 year anniversary. Doorman remembered my name by the second day. Bar downstairs is worth the price of the room alone...",
  "reviewerName": "MarissaK",
  "reviewerLocation": "Chicago, Illinois",
  "writtenDate": "Written April 8, 2026",
  "stayDate": "Date of stay: March 2026",
  "tripType": "Traveled as a couple",
  "language": "en",
  "helpfulVotes": 4,
  "hasOwnerResponse": true,
  "ownerResponseText": "Dear Marissa, thank you for choosing The Pierre for such a special occasion...",
  "ownerResponseDate": "Responded April 10, 2026"
}

Every review comes back with: star rating (1 to 5), title, full text, reviewer name and home location, written date, stay date, trip type (family, couple, business, solo, friends), helpful vote count, and the full owner response with its own timestamp. Plus the property name, type (hotel, restaurant, attraction), aggregate rating, city, and country on every record so you can group in any spreadsheet.

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Quick start

Export 200 recent reviews for a single hotel:

curl -X POST "https://api.apify.com/v2/acts/scrapemint~tripadvisor-review-intelligence/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "locationUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Pierre.html",
    "maxReviews": 200,
    "sortBy": "NEWEST_FIRST"
  }'

Compare your hotel against 2 competitors in one run, filtering for complaints only:

{
  "locationUrls": [
    { "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d93589-Reviews-The_Pierre.html" },
    { "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d93361-Reviews-The_Plaza.html" },
    { "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d93541-Reviews-The_Carlyle.html" }
  ],
  "maxReviews": 500,
  "filterByRating": ["1", "2"]
}

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Inputs

Field	Type	Default	What it does
locationUrls	array	[]	TripAdvisor review URLs. Hotels, attractions, or restaurants. Add several to compare in one run.
locationUrl	string	null	Single URL shortcut. Used when locationUrls is empty.
maxReviews	integer	500	Hard cap per location. Controls cost.
sortBy	string	NEWEST_FIRST	NEWEST_FIRST or MOST_HELPFUL
filterByRating	array	[]	Ratings to keep (e.g. ["1","2"] for complaint analysis). Empty = all.
language	string	""	Filter by language code (en, es, fr, de, it). Empty = all.

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Pricing

Pay per review. Free tier lets you check the data before spending anything.

Tier	Price	Best for
Free	First 100 reviews per run	Verifying the output format
Standard	$0.006 per review	Ongoing monitoring and competitor benchmarking

flowchart LR
    A[Run the actor] --> B{First 100<br/>reviews}
    B -->|Free| C[Verify output]
    C --> D{Need more?}
    D -->|Yes| E[$0.006 per review<br/>after the first 100]
    D -->|No| F[Done, $0 spent]

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How this beats the alternatives

Method	Cost for 5,000 reviews across 5 hotels	Data depth	Time
Read TripAdvisor manually	20 to 30 analyst hours	Spreadsheet notes	Days
Hospitality reputation SaaS	$400 to $1,200 per month per property	Aggregated dashboards	Subscription locked
This actor	$29.40 once	Full reviews, traveler data, responses, timestamps	Minutes

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Compare destinations in one run

flowchart LR
    A[Your property URL] --> X[Actor]
    B[Competitor 1 URL] --> X
    C[Competitor 2 URL] --> X
    X --> D[(Unified review<br/>dataset)]
    D --> E[Sort by locationName<br/>in spreadsheet]
    E --> F[Head to head<br/>sentiment report]

Every record carries the locationName, locationCity, and locationAggregateRating fields, so you can group results in any spreadsheet or BI tool in seconds.

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Use case flows

flowchart TD
    subgraph Inputs
        A[Location URLs]
    end
    subgraph Actor
        B[Pull reviews]
    end
    subgraph Outputs
        C[JSON / CSV / Excel]
    end
    subgraph Workflows
        D[Weekly GM report]
        E[Competitor gap analysis]
        F[Front desk complaint triage]
        G[Marketing copy mining]
    end
    A --> B --> C
    C --> D
    C --> E
    C --> F
    C --> G

• Weekly GM report: cron this actor, diff the latest run, email the GM when 1 or 2 star volume spikes
• Competitor gap analysis: pull your property plus 3 rivals, sort by stars, show ownership what guests praise next door
• Front desk complaint triage: feed 1 and 2 star reviews into your PMS so CS sees complaints before they escalate
• Marketing copy mining: grep 5 star reviews for the exact phrases guests use, reuse them in booking page copy

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Related tools in the review intelligence suite

flowchart LR
    A[Booking Review<br/>Intelligence] --> C[(Unified review<br/>dataset)]
    B[Trustpilot Brand<br/>Reputation] --> C
    T[TripAdvisor Review<br/>Intelligence] --> C
    C --> D[Cross platform<br/>reputation report]

• Booking Review Intelligence: hotel and STR reviews with sentiment, category scores, traveler type, and management replies
• Trustpilot Brand Reputation: e-commerce and service business reviews with trust scores, consumer country, and verification status
• More review sources on the roadmap: Google Reviews, Yelp, OpenTable

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Frequently asked questions

How do I download TripAdvisor reviews to a CSV file? Run this actor with a TripAdvisor location URL and your chosen cap. Export the dataset as CSV from the Apify console or pull it via the API. Works for any hotel, restaurant, or attraction with a public TripAdvisor page.

How do I monitor my property reputation on TripAdvisor without paying for a SaaS subscription? Schedule this actor weekly against your TripAdvisor URL. Export the latest reviews and compare against last week in your own spreadsheet. A few dollars per run replaces a $400+ monthly hospitality reputation subscription.

Can I compare multiple hotels on TripAdvisor in one run? Yes. Pass every URL in the locationUrls array. Every review record includes locationName, locationCity, and locationAggregateRating, so you can group and compare in any tool.

How do I analyze only negative TripAdvisor reviews? Set filterByRating to ["1", "2"] to pull just 1 and 2 star reviews. Most complaint analysis workflows use this filter.

What data does this return for each TripAdvisor review? Rating (1 to 5), title, full review text, reviewer name, reviewer home location, written date, stay date, trip type, helpful votes, language, and the full owner response with its timestamp. Plus property name, type, aggregate rating, city, and country on every record.

Does this work for restaurants and attractions too? Yes. Any TripAdvisor URL with Hotel_Review, Restaurant_Review, or Attraction_Review in the path works.

Does this work across international TripAdvisor domains? Yes. Works for tripadvisor.com, tripadvisor.co.uk, tripadvisor.de, tripadvisor.fr, and other locales. Just paste the location URL.

How many reviews can I pull from one location? Up to the full review history. Use maxReviews to set a cap. Properties with thousands of reviews take several minutes to finish.

How fresh is the data? Live at query time. Every run pulls straight from TripAdvisor. No cached snapshots.

What format is the output? JSON, CSV, or Excel. Download from the Apify dataset or pull via API.

Why does this need residential proxies? TripAdvisor fronts every page with Cloudflare. Datacenter proxies get blocked within a few requests. Residential proxies keep runs clean. The actor ships with residential proxy defaults.