Tripadvisor Hotel Reviews Extractor: scrape hotel guest reviews from Tripadvisor

Tripadvisor Hotel Reviews Extractor pulls guest reviews from Tripadvisor hotel pages into a structured dataset. Paste one or more Hotel_Review URLs and get ratings, titles, full review text, stay dates, trip types, and reviewer details without paging through Tripadvisor by hand.

This actor is built for SEO teams, hotel marketers, and analysts who need Tripadvisor hotel review data for reputation monitoring, competitor research, or content work.

What data does this actor extract?

Field	Type	Description
hotelName	string	Hotel name
hotelUrl	string	Canonical Tripadvisor hotel URL
hotelId	string	Tripadvisor hotel ID (d number)
geoId	string	Tripadvisor geo ID (g number)
hotelRating	number	Aggregate hotel bubble rating
hotelReviewCount	integer	Total reviews listed for the hotel
hotelAddress	string	Address when available
hotelLatitude / hotelLongitude	number	Coordinates when available
reviewId	string	Review ID
reviewUrl	string	Direct review URL
reviewTitle	string	Review headline
reviewText	string	Full review body
rating	integer	Overall score (1–5)
subratings	object	Category scores such as Value, Rooms, Cleanliness
reviewerName	string	Reviewer display name
reviewerProfileUrl	string	Reviewer profile URL
reviewerLocation	string	Reviewer location when shown
reviewerContributions	integer	Contribution count
helpfulVotes	integer	Helpful vote count
publishedDate	string	Publish date shown on the page
dateOfStay	string	Date of stay
tripType	string	Trip type (family, friends, etc.)
isMachineTranslated	boolean	Whether Tripadvisor marked it as translated
scrapedAt	string	UTC extraction timestamp

How to scrape Tripadvisor hotel reviews

1. Open Tripadvisor Hotel Reviews Extractor on Apify.
2. Paste one or more Tripadvisor Hotel_Review-... URLs into startUrls.
3. Set maxItems to cap how many reviews you want.
4. Click Start and wait for the run to finish.
5. Download the dataset as JSON, CSV, Excel, or HTML.

Input

Field	Type	Default	Description
startUrls	array of strings	sample hotel URL	Tripadvisor Hotel_Review page URLs
maxItems	integer	10	Max reviews to extract in this run (1–1000)
requestTimeoutSecs	integer	60	Per-request timeout in seconds

Input example

{
    "startUrls": [
        "https://www.tripadvisor.com/Hotel_Review-g644055-d1168224-Reviews-Hotel_Weisses_Lamm-See_Tirol_Austrian_Alps.html"
    ],
    "maxItems": 10,
    "requestTimeoutSecs": 60
}

Output example

[
    {
        "hotelName": "Hotel Weisses Lamm",
        "hotelUrl": "https://www.tripadvisor.com/Hotel_Review-g644055-d1168224-Reviews-Hotel_Weisses_Lamm-See_Tirol_Austrian_Alps.html",
        "hotelId": "1168224",
        "geoId": "644055",
        "hotelRating": 4.7,
        "hotelReviewCount": 97,
        "hotelAddress": "Gries 5 6553 See, See, 6553, AT",
        "hotelLatitude": 47.08635,
        "hotelLongitude": 10.472833,
        "reviewId": "1074346292",
        "reviewUrl": "https://www.tripadvisor.com/ShowUserReviews-g644055-d1168224-r1074346292-Hotel_Weisses_Lamm-See_Tirol_Austrian_Alps.html",
        "reviewTitle": "Truly a beautiful hotel",
        "reviewText": "A very modern, beautiful, sparkling clean hotel, cozy rooms, a very nice rooftop wellness area...",
        "rating": 5,
        "subratings": null,
        "reviewerName": "SandraNicole",
        "reviewerProfileUrl": "https://www.tripadvisor.com/Profile/SandraNik",
        "reviewerLocation": "Regensburg, Germany",
        "reviewerContributions": 109,
        "helpfulVotes": 16,
        "publishedDate": "Aug 2026",
        "dateOfStay": "August 2026",
        "tripType": "Traveled with family",
        "isMachineTranslated": true,
        "scrapedAt": "2026-09-14T08:00:00+00:00",
        "error": null
    }
]

Use cases

• Hotel SEO research: pull real guest language from Tripadvisor reviews for content briefs and FAQ pages
• Reputation monitoring: schedule runs and watch rating trends for your properties
• Competitor analysis: compare review volume, scores, and common complaints across hotels
• Sentiment pipelines: feed clean review text into NLP or BI tools
• Guest experience audits: spot recurring themes around cleanliness, service, or location

FAQ

Do I need a Tripadvisor account? No. The actor works with public hotel review pages.

Can I scrape multiple hotels in one run? Yes. Add several Hotel_Review URLs to startUrls. maxItems applies to the whole run.

How many reviews can I get? Up to maxItems (max 1000 per run). Tripadvisor paginates reviews; the actor follows those pages until the limit is reached.

Does it work for restaurants or attractions? This version targets Tripadvisor hotel review pages (Hotel_Review-... URLs).

What formats can I export? JSON, CSV, Excel, HTML, and the dataset API.

Marketplace description

Tripadvisor Hotel Reviews Extractor scrapes guest reviews from Tripadvisor hotel pages. Give it Hotel_Review URLs and get rating, title, full text, stay date, trip type, reviewer info, and category scores when they appear on the page.

Use it to compare competitor hotels, feed sentiment tools, or pull review copy for SEO research without paging through Tripadvisor by hand. Export JSON, CSV, or Excel from the dataset.

Key features:

• Bulk extract Tripadvisor hotel reviews from hotel URLs
• Grab ratings, review text, published date, and date of stay
• Include reviewer name, location, contributions, and helpful votes
• Paginate through review pages up to your maxItems cap
• Run on a schedule for reputation tracking

Built for SEO teams, hospitality marketers, and researchers who want Tripadvisor hotel review data in one place.

---

Independent tool, not affiliated with Tripadvisor. Uses publicly available hotel review pages. You are responsible for compliant use under Tripadvisor's terms and applicable law.