Tripadvisor Reviews Scraper

Scrape every Tripadvisor review from any hotel, restaurant, or attraction URL. This Tripadvisor reviews scraper returns rating, full review text, title, stay date, traveller type, language, reviewer profile, helpful votes, photos, management response, and per-category subratings.

No Tripadvisor API key, no login, and no headless browser. Results land in a structured dataset you can export to JSON, CSV, Excel, or XML, or pull straight from the Apify API.

What is Tripadvisor Reviews Scraper?

Tripadvisor Reviews Scraper is an Apify Actor that extracts reviews for hotels, restaurants, and attractions from Tripadvisor and returns them as clean, structured records. Subratings are the differentiator — service, cleanliness, value, and location scores come back per review rather than only as a property-level average, so you can see which dimension is actually dragging a score down.

What data can this Tripadvisor reviews scraper extract?

Every run writes one row per review. The full schema carries 30 fields; the most-used ones are below.

Field	Type	Description
reviewId	integer	Tripadvisor's stable numeric review identifier.
locationId	integer	Tripadvisor's numeric property identifier (the d-number in the URL slug).
propertyUrl	string	The Tripadvisor property URL the review belongs to.
propertyName	string	Display name of the hotel, restaurant, or attraction.
propertyType	string	ACCOMMODATION, EATERY, ATTRACTION, or similar.
reviewUrl	string	Direct link to the single-review detail page on Tripadvisor.
title	string	Short headline written by the reviewer.
text	string	Full review body.
rating	integer	Reviewer rating, 1 to 5.
language	string	BCP-47 language code of the review body (en, es, fr...).
originalLanguage	string	Original posting language if the review was translated.
publishedDate	string	ISO 8601 date the review was published.
createdDate	string	ISO 8601 date the review was first written.
stayDate	string	ISO 8601 date the trip occurred.
tripType	string	COUPLES, FAMILY, SOLO, BUSINESS, FRIENDS, or NONE.
helpfulVotes	integer	Number of helpful votes from other Tripadvisor users.
reviewerName	string	Reviewer's display name on Tripadvisor.
reviewerUsername	string	Reviewer's URL slug username.
reviewerId	string	Stable Tripadvisor profile identifier.
reviewerProfileUrl	string	Direct link to the reviewer's Tripadvisor profile.
reviewerHometown	string	Reviewer's listed hometown if shared.
reviewerIsVerified	boolean	True when Tripadvisor flags the profile as verified.

See the Output tab in Apify Console for all 30 fields.

How to scrape Tripadvisor reviews

1. Open Tripadvisor Reviews Scraper and click Try for free.
2. Paste hotel, restaurant, or attraction URLs into startUrls.
3. Set maxReviewsPerProperty to cap how deep each property goes.
4. Filter with language, minRating, and choose a sortBy order.
5. Turn on includePhotos to capture reviewer photo URLs.
6. Click Start and watch rows appear live in the Output tab.
7. Export the dataset as JSON, CSV, Excel, or XML — or fetch it from the Apify API once the run finishes.

Tripadvisor Reviews Scraper input options

Input	Type	What it does	Default
startUrls	array	List of Tripadvisor property URLs to scrape reviews for. Accepts hotels, restaurants, and attractions. Example:...	yes
maxReviewsPerProperty	integer	Upper bound on reviews returned per property. Server pages 20 at a time. Set to a small value for testing, larger...	50
language	string	Optional BCP-47 language code (en, es, fr, de, it, pt, ja, zh). Leave empty to return reviews in all languages.
sortBy	string	How reviews are ordered before scraping. Most Recent walks newest-first.	"MOST_RECENT"
minRating	integer	Only return reviews with this rating or higher. 0 returns everything. Valid values: 0 to 5.	0
includePhotos	boolean	When true, returns photo URL templates attached to each review. When false, only the photo ID list is returned.	true

Proxy is configured through the standard proxyConfiguration object; the defaults shipped with this Actor are already tuned for the target site.

Example output

{
    "startUrls": [
        {"url": "https://www.tripadvisor.com/Hotel_Review-g60763-d93437-Reviews-The_Plaza-New_York_City_New_York.html"}
    ],
    "maxReviewsPerProperty": 1000,
    "language": "en",
    "sortBy": "MOST_RECENT",
    "minRating": 0,
    "includePhotos": true
}

How much does it cost to scrape Tripadvisor?

This Actor runs on pay per result pricing: $0.0035 per review ($3.5 per 1,000). A one-time start fee of $0.00005 applies per run.

Results	Approximate cost
1,000	$3.50
10,000	$35.00
100,000	$350.00

You pay for rows you actually receive, so a search that returns nothing costs nothing beyond the start fee. Every Apify account includes free monthly usage credit, so you can trial Tripadvisor Reviews Scraper at no cost.

What can you build with Tripadvisor data?

Find the real reason a rating is slipping

Subratings separate a service problem from a cleanliness problem from a value perception problem — the distinction a single star average hides completely.

Run competitive sentiment analysis

Pull reviews for every competitor in a destination and compare complaint themes side by side.

Monitor new reviews and owner response rate

The management response field on each row makes it trivial to measure how quickly and how often a property actually replies.

Build multilingual hospitality review datasets

Original and translated text with language codes make this a strong corpus for cross-lingual NLP work.

Validate marketing claims against guest experience

Compare what a property advertises with what travellers consistently mention to find the gap.

Tripadvisor scraping tips and limits

• Queue many property URLs in one run rather than one run per property — you avoid repeated start fees and the Actor parallelises internally.
• Use minRating to pull only negative reviews when you are hunting for operational problems; it cuts cost sharply versus downloading everything.
• language filtering matters on international properties, where a mixed-language corpus will skew sentiment scoring.
• Reviewer names, hometowns, and avatars are personal data. Strip them if your analysis does not need them.

Integrations and automation

Run Tripadvisor Reviews Scraper on a schedule to keep a Tripadvisor dataset fresh, or trigger it from your own stack through the Apify API and the official JavaScript and Python clients. Native integrations push results into Google Sheets, Slack, Airtable, Zapier, Make, GitHub, or any webhook endpoint. The Actor also works as an MCP tool, so an AI agent can call it directly.

Related scrapers

Actor	What it does
Tripadvisor Hotels Scraper	Hotel search with rankings, amenities, and live offers.
Yelp Business Scraper	Yelp business records and ratings for the same venues.
Google Maps Business Scraper	Google Maps ratings and review counts.
Airbnb Reviews Scraper	The same review analysis for short-term rentals.

Frequently asked questions

Does it work for restaurants and attractions, not just hotels?

Yes. Any Tripadvisor property URL works — propertyType on each row tells you which kind it was.

Can I get only recent reviews?

Sort by most recent and set maxReviewsPerProperty to the number you need. That pulls the newest reviews first and stops, which is the cheapest way to run this incrementally.

Do I need a Tripadvisor API key?

No. Tripadvisor Reviews Scraper reads publicly available Tripadvisor pages and endpoints directly, so there is no key to obtain, no OAuth app to register, and no account to connect.

Can I export Tripadvisor data to CSV, Excel, or Google Sheets?

Yes. Every run stores results in an Apify dataset that exports to JSON, JSONL, CSV, Excel, XML, or HTML with one click, and the Google Sheets integration writes rows straight into a spreadsheet.

Can I run Tripadvisor Reviews Scraper on a schedule?

Yes. Apify schedules run the Actor hourly, daily, weekly, or on any cron expression, and webhooks can notify your systems the moment a run finishes.

Is it legal to scrape Tripadvisor?

Scraping publicly available data is broadly lawful in the US and EU, but the answer depends on what you collect and how you use it. This Actor is built to gather public review content Tripadvisor displays publicly, which includes reviewer names and profile details — treat those as personal data. Personal data carries extra obligations under GDPR and CCPA. Read Apify's guide on whether web scraping is legal and take your own legal advice for your use case.

Support and feedback

Found a bug, a missing field, or a Tripadvisor page shape this Actor does not handle yet? Open an issue from the Issues tab on the Actor page. Feature requests and custom-scraper enquiries are welcome there too.