TripAdvisor Reviews Scraper — Hotels, Restaurants & Attractions

Extract TripAdvisor reviews and ratings for any hotel, restaurant, or attraction at tripadvisor.com — a fast, TripAdvisor API alternative that needs no browser or login. Give it one or more TripAdvisor location URLs and it returns structured JSON for each review: rating, title, text, stay/visit date, trip type, sub-ratings (value, service, cleanliness, etc.), reviewer profile, and the business owner's response, if any.

Why use TripAdvisor Reviews Scraper?

TripAdvisor reviews are a goldmine for hospitality and travel businesses, but the site has no public API for bulk review export. This Actor talks directly to TripAdvisor's own review-list endpoint, so it's fast and reliable — no browser rendering, no CAPTCHAs to solve.

That makes it useful for:

• Reputation monitoring — track new reviews and ratings for your hotel, restaurant, or attraction over time.
• Competitive intelligence — benchmark your ratings and review sentiment against competitors.
• Market research — collect review text at scale for sentiment analysis or NLP pipelines.
• Guest experience analysis — mine sub-ratings (cleanliness, service, value, location) to spot trends.

Running it on Apify also gives you:

• Scheduling — run daily/weekly to build a historical review dataset.
• API & integrations — trigger runs and pull results via the Apify API, or connect to Zapier, Make, Google Sheets, and more.
• Proxy rotation & monitoring — built-in proxy support and run alerts, no extra setup.

What data does TripAdvisor Reviews Scraper extract?

Field	Type	Description
rating	integer	Overall star rating (1-5) given by the reviewer.
title	string	Review headline.
text	string	Full review text.
stayDate / tripType	string	When the reviewer visited and the type of trip (e.g. FAMILY, COUPLES, BUSINESS).
subRatings	array	Category breakdown, e.g. Value, Rooms, Location, Cleanliness, Service.
reviewer	object	Display name, username, hometown, total contributions, profile URL.
ownerResponse	object	The business's reply to the review, if one was posted.
publishedDate	string	Date the review was published on TripAdvisor.
reviewUrl	string	Direct link to the review on TripAdvisor.

See Output below for a full example, or the Data / Schema tabs in Apify Console for every field.

How to scrape TripAdvisor reviews

1. Click Try for free (or Run) to open the Actor.
2. Find the location you want to scrape on TripAdvisor and copy its URL — see How to find a TripAdvisor location URL below.
3. Paste the URL(s) into TripAdvisor location URLs.
4. Set Max reviews per location (default 100) and Review language (default en).
5. Click Start and view results in the Dataset tab once the run finishes.
6. Export the dataset as JSON, CSV, Excel, or HTML, or pull it via the API.

How to find a TripAdvisor location URL

Every TripAdvisor hotel, restaurant, and attraction page has a URL containing a -d<number>- segment, which is the location's unique ID — for example:

https://www.tripadvisor.com/Hotel_Review-g45963-d91967-Reviews-Treasure_Island_TI_Las_Vegas-Las_Vegas_Nevada.html
                                          └────┬────┘
                                          location id (91967)

1. Search for the business on tripadvisor.com.
2. Open its detail/reviews page (Hotel_Review-…, Restaurant_Review-…, or Attraction_Review-…).
3. Copy the full URL from your browser's address bar — that's it. You don't need to extract the ID yourself; the Actor parses it from the URL automatically.

How much will it cost to scrape TripAdvisor reviews?

This Actor uses Apify's Pay Per Event (PPE) pricing — you only pay for what you get, not for compute time:

• $0.002 flat fee per Actor run (charged once, on start)
• $0.0008 per review successfully scraped

For example, scraping 500 reviews across a few locations costs roughly $0.002 + (500 × $0.0008) ≈ $0.402. Check the Pricing tab in Apify Console for the current live rates, which may be adjusted over time.

Input

Field	Type	Description
startUrls	array (required)	TripAdvisor location URLs to scrape (hotel, restaurant, or attraction detail pages).
maxReviews	integer (default 100)	Maximum number of reviews to fetch per location. Reviews are returned newest-first, in pages of 10.
language	string (default en)	Two-letter language code to filter reviews by (e.g. en, es, fr, de, it).
proxyConfiguration	object (default Apify Proxy)	Proxy settings. Datacenter proxy is sufficient — no residential proxy needed.

See the Input tab in Apify Console for the full schema and defaults.

{
    "startUrls": [
        {
            "url": "https://www.tripadvisor.com/Hotel_Review-g45963-d91967-Reviews-Treasure_Island_TI_Las_Vegas-Las_Vegas_Nevada.html"
        }
    ],
    "maxReviews": 100,
    "language": "en",
    "proxyConfiguration": { "useApifyProxy": true }
}

Output

Each scraped review is one row in the dataset, for example:

{
    "reviewId": 1065375918,
    "locationId": 91967,
    "placeName": "Treasure Island TI Las Vegas",
    "placeType": "ACCOMMODATION",
    "rating": 5,
    "title": "One night in Vegas",
    "text": "Loved being in the middle of the strip. Room was clean. Beds were nice. The only thing was our great view was through a dirty window. But still great! We will be back at the end of the week",
    "language": "en",
    "originalLanguage": "en",
    "createdDate": "2026-06-22",
    "publishedDate": "2026-06-22",
    "stayDate": "2026-06-30",
    "tripType": "FAMILY",
    "helpfulVotes": 0,
    "subRatings": [
        { "label": "Value", "rating": 4 },
        { "label": "Rooms", "rating": 4 },
        { "label": "Location", "rating": 5 },
        { "label": "Cleanliness", "rating": 5 },
        { "label": "Service", "rating": 4 },
        { "label": "Sleep Quality", "rating": 5 }
    ],
    "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-g45963-d91967-r1065375918-Treasure_Island_TI_Las_Vegas-Las_Vegas_Nevada.html",
    "reviewer": {
        "displayName": "G Clark",
        "username": "520lenaf",
        "isVerified": false,
        "hometown": "Asheville, North Carolina",
        "totalContributions": 3,
        "profileUrl": "https://www.tripadvisor.com/Profile/520lenaf"
    },
    "ownerResponse": {
        "text": "Thank you for your wonderful review. We are delighted to hear that you enjoyed our central location on the Strip...",
        "publishedDate": "2026-06-23",
        "responderName": "Anca B",
        "responderTitle": "Guest Services / Front Office"
    },
    "sourceUrl": "https://www.tripadvisor.com/Hotel_Review-g45963-d91967-Reviews-Treasure_Island_TI_Las_Vegas-Las_Vegas_Nevada.html",
    "scrapedAt": "2026-06-24T10:16:01.959Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

Field	Description
reviewId	TripAdvisor's unique review ID.
locationId	TripAdvisor's unique location ID (from the -d<number>- URL segment).
placeName / placeType	Name and type (ACCOMMODATION, RESTAURANT, ATTRACTION) of the scraped location.
rating	Overall star rating (1-5).
title / text	Review headline and body.
language / originalLanguage	Review language code and the language it was originally written in.
createdDate / publishedDate	When the review was created and published.
stayDate / tripType	When the reviewer visited and the trip category.
helpfulVotes	Number of "helpful" votes the review received.
subRatings	Array of { label, rating } category breakdowns.
reviewUrl	Direct link to the review on TripAdvisor.
reviewer	Reviewer's display name, username, verification status, hometown, contribution count, profile URL.
ownerResponse	The business's reply (text, date, responder name/title), or null if none.
sourceUrl	The location URL that was scraped.
scrapedAt	ISO timestamp of when the review was scraped.

Tips and advanced options

• Use maxReviews to cap a run while testing before scaling up to full review history.
• Set language to pull reviews in a specific language only; TripAdvisor's machine translation flag is enabled, but originalLanguage always reflects what the reviewer actually wrote in.
• One location failing (e.g. an invalid or removed URL) does not stop the rest of the run — the Actor logs a warning and moves on to the next startUrls entry.
• Schedule the Actor (Apify Console → Schedules) to track new reviews and rating trends over time.

FAQ

Does this need a browser or login? No. The Actor uses plain HTTP requests to TripAdvisor's review API — no Puppeteer/Playwright, no TripAdvisor account required.

Can I scrape reviews in multiple languages in one run? Run the Actor once per language by setting language accordingly, or run it with the default and inspect originalLanguage on each review.

Some reviews don't have an ownerResponse — is that a bug? No. Not every business replies to every review; ownerResponse is null when no reply exists.

Found a bug or have a feature request? Open an issue in the Actor's Issues tab in Apify Console.

Disclaimer

This Actor only extracts data that is already publicly visible on TripAdvisor review pages — it does not access private accounts, bypass logins, or scrape any content a user hasn't chosen to share publicly. Our Actors are built to be used ethically and do not extract private user data such as email addresses. However, public reviews can still contain personal data (e.g. reviewer names, hometowns), which may be subject to GDPR or other privacy regulations depending on your jurisdiction and use case. You are responsible for using this Actor in compliance with TripAdvisor's Terms of Service and all applicable laws. If you're unsure whether your intended use is compliant, consult your legal counsel.