TripAdvisor Review Scraper

Scrape TripAdvisor guest reviews — overall rating, per-category sub-ratings, review title and full text, reviewer name and username, created and published dates, and management responses — without a TripAdvisor account, login, or official API. The TripAdvisor Review Scraper takes a hotel name, a TripAdvisor URL, a numeric hotel ID, or a city, and returns clean structured JSON for hotel reputation monitoring, guest-sentiment analysis, and competitor review research.

What is the TripAdvisor Review Scraper?

The TripAdvisor Review Scraper is an Apify Actor that extracts full guest reviews from TripAdvisor hotel pages. Give it a hotel name, city, TripAdvisor hotel URL, or hotel ID (single or batch) and it follows TripAdvisor's own review pagination, returning one flat JSON row per review with the overall rating, per-category sub-ratings (service, cleanliness, location, and more), the review title and full text, the reviewer's name and username, both dates, and the hotel's management response when one exists. Output is ready for text analysis, Excel, or an API integration.

How to scrape reviews for a TripAdvisor hotel

1. Set hotelQuery — a hotel name, a city name, a full TripAdvisor Hotel_Review-... URL, or a bare numeric hotel ID. Use hotelQueries for a batch.
2. Set maxItems — the cap on review rows per hotel.
3. Keep proxyConfiguration on residential (required).
4. Click Start. Export as JSON, CSV, Excel, or via the dataset API.

What data can I extract from TripAdvisor reviews?

Field	Type	Description
status	string	success, no_reviews, or error
hotelQuery	string	The query you passed in
geoId	string	TripAdvisor's internal geo ID for the city
hotelId	string	TripAdvisor's internal hotel ID (the d number)
hotelName	string	Hotel name
hotelUrl	string	Canonical TripAdvisor hotel review URL
totalReviewCount	integer	The hotel's total number of reviews
reviewId	string	TripAdvisor's internal review ID
reviewerName	string	Reviewer display name
reviewerUsername	string	Reviewer username / handle
rating	number	Overall review rating, 1–5
subratings	object	Per-category ratings, e.g. { "Service": 5, "Cleanliness": 5, "Location": 5 }
title	string	Review headline
reviewText	string	Full review text
language	string	Review language code
createdDate	string	When the stay/review was created
publishedDate	string	When the review was published
mgmtResponseText	string	The hotel management's response, when present
errorMessage	string	Why a lookup failed

Input example

{
    "hotelQuery": "https://www.tripadvisor.com/Hotel_Review-g60763-d224214-Reviews-The_Bryant_Park_Hotel-New_York_City_New_York.html",
    "maxItems": 30,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Output example

[
    {
        "status": "success",
        "hotelQuery": "https://www.tripadvisor.com/Hotel_Review-g60763-d224214-Reviews-The_Bryant_Park_Hotel-New_York_City_New_York.html",
        "geoId": "60763",
        "hotelId": "224214",
        "hotelName": "The Bryant Park Hotel",
        "hotelUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d224214-Reviews-The_Bryant_Park_Hotel-New_York_City_New_York.html",
        "totalReviewCount": 5077,
        "reviewId": "1012345678",
        "reviewerName": "Jane D",
        "reviewerUsername": "janed123",
        "rating": 5,
        "subratings": { "Service": 5, "Cleanliness": 5, "Location": 5 },
        "title": "Wonderful stay in Midtown",
        "reviewText": "The staff were incredibly helpful and the room was spotless...",
        "language": "en",
        "createdDate": "2026-08-01",
        "publishedDate": "2026-08-03",
        "mgmtResponseText": null
    }
]

What you get vs. reading TripAdvisor reviews manually

Task	Manually on TripAdvisor	With the TripAdvisor Review Scraper
Read hundreds of reviews for one hotel	Click through pages	One run, one dataset
Break scores down by category	Read each review's sub-ratings	subratings object on every row
Compare competitors' review volume and rating	Visit each page	Batch hotelQueries, compare totalReviewCount
Track rating trend over time	Manual spreadsheet	Schedule the Actor, diff the dataset
Feed reviews into an NLP pipeline	Manual export	JSON / CSV from the dataset API

How to use it (step by step)

1. Use a hotel URL or numeric ID for a reliable single-hotel lookup; a hotel or city name resolves through a curated major-city list.
2. Batch with hotelQueries to cover many hotels under one run-start fee.
3. Set maxItems to cap per-hotel review rows.
4. Keep the residential proxy on — it is required.
5. Run and export — dataset tab or GET /v2/datasets/{id}/items.
6. Schedule it for ongoing reputation monitoring.

Pricing

Pay-per-event: a small run-start charge, then a per-row charge for each review. A small number of review rows per run are free. no_reviews and error rows are not charged. Exact rates are on the Actor's Pricing tab. [PRICING TBD]

FAQ

What is the TripAdvisor Review Scraper? An Apify Actor that extracts full guest reviews from TripAdvisor hotel pages — overall rating, sub-ratings, full text, reviewer, dates, management response — as structured JSON, CSV, or Excel.

Do I need a TripAdvisor account, API key, or login? No.

Why did I get a no_reviews row? The hotel was resolved but no review data was available for it at fetch time.

Why did I get an error row? Either the free-text query could not be resolved to a known city/hotel, or TripAdvisor's bot protection blocked the fetch after retries — try again, or pass a direct hotel URL/ID.

How many reviews per hotel can I get? Up to maxItems, subject to a per-run page limit — for a hotel's full historical review archive you would run it more than once.

Which cities resolve from a name? Amsterdam, Bangkok, Barcelona, Berlin, Boston, Chicago, Dubai, Hong Kong, Istanbul, Las Vegas, London, Los Angeles, Miami, New York City, Orlando, Paris, Rome, San Francisco, Seoul, Singapore, Sydney, Tokyo, Toronto, Washington DC. Any other city works with its numeric TripAdvisor geo ID.

Is a proxy required? Yes — a residential proxy is required. TripAdvisor blocks datacenter IPs.

What export formats are available? JSON, CSV, Excel, HTML table, RSS, or the Apify dataset API.

Is scraping TripAdvisor reviews legal? The Actor accesses only publicly available data shown to anonymous visitors. You are responsible for compliant use under TripAdvisor's terms and the laws that apply to you. Not affiliated with TripAdvisor.

My other travel scrapers on Apify

Actor	What it does
TripAdvisor Hotel Scraper	Hotel details plus per-OTA room rates from TripAdvisor
Booking.com Review Scraper	Guest review text and scores from Booking.com
Booking.com Listings Scraper	Hotel prices, ratings, and room types from Booking.com
Expedia Review Scraper	Traveler reviews and sentiment from Expedia
Expedia Hotel Scraper	Hotel listings and per-room rates from Expedia
Agoda Review Scraper	Guest reviews and stay details from Agoda
Agoda Hotel Scraper	Hotel details and live city pricing from Agoda
Trip.com Review Scraper	Guest reviews and stay details from Trip.com
Trip.com Hotel Scraper	Hotel prices, ratings, and best room rate from Trip.com
Google Hotels Scraper	Hotel prices, ratings, and coordinates from Google Hotels
Airbnb Room Reviews Scraper	Reviews, ratings, and host replies from Airbnb listings
Airbnb Search Scraper	Listings, prices, and hosts from Airbnb search
Airbnb & Vrbo Revenue and Occupancy Estimator	Estimated revenue and occupancy for short-term rentals

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Independent tool, not affiliated with or endorsed by TripAdvisor. Accesses only publicly available data. Report bugs or request features on the Issues tab.