TripAdvisor Reviews Scraper

TripAdvisor Reviews Scraper collects guest reviews from TripAdvisor hotel pages and turns them into structured data for reputation monitoring, competitor benchmarking, and hospitality research. Provide one or more hotel page URLs, run the Actor, and export ratings, review text, published dates, trip info, reviewer profiles, and management responses to JSON, CSV, Excel, or your preferred integration. Use it to track guest feedback, benchmark rival properties, and analyze review themes. Scraping 1,000 reviews costs $1.

What can you automate with TripAdvisor Reviews Scraper?

• Build a review database — ratings, full review text, and dates for any hotel, resort, or rental.
• Monitor your reputation — track new reviews and management responses to react quickly to guest feedback.
• Benchmark competitors — pull review data for rival properties to compare ratings and sentiment.
• Improve guest experience — analyze themes such as cleanliness, staff, location, and value across reviews.
• Schedule recurring collection — feed fresh reviews into dashboards or alerting systems.

Who is this scraper for?

Team	Workflow
Hoteliers and property managers	Track reputation and guest feedback.
Travel marketers	Monitor ratings for destinations and properties.
Market researchers	Analyze review volume and sentiment for hospitality reports.
Revenue and investment analysts	Use review data for demand and competitive analysis.

What data can you collect from TripAdvisor?

Data group	Example fields	How it helps
Rating and content	rating, title, text	Understand the guest experience.
Dates	publishedDate, tripInfo (stayDate, tripType)	See when and how the guest traveled.
Reviewer	userDisplayName, userAvatar, userProfileUrl	Attribute the review.
Location	locationName, locationUrl	Identify the property.
Management	mgmtResponse	See the property's reply, if any.

How to use TripAdvisor Reviews Scraper

1. Open the Actor in the Scraptivo account.
2. Paste one or more TripAdvisor hotel page URLs.
3. Optionally set a review limit and a language filter.
4. Run the Actor.
5. Export the dataset to JSON, CSV, Excel, or your integration.

{ "startUrls": [{ "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html" }], "maxItems": 25, "language": "en", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } }

Example workflow

Track weekly feedback for a hotel

1. Run your hotel's page URL every Monday.
2. Keep new reviews posted since the previous run.
3. Send new reviews to Google Sheets or a reputation dashboard.
4. Deduplicate using the stable review id field.

Automate and integrate your results

• Schedule daily or weekly runs using Apify's Scheduler or the API.
• Webhooks after a successful run to trigger downstream processing.
• Export to Google Sheets, Make, Zapier, or a database.
• Deduplicate using the stable review id field.

curl "https://api.apify.com/v2/acts/scraptivo~tripadvisor-reviews-scraper/run-sync" -H "Content-Type: application/json" -d '{"startUrls":[{"url":"https://www.tripadvisor.com/Hotel_Review-g60763-d11854022-Reviews-Crowne_Plaza_HY36_Midtown_Manhattan_by_IHG-New_York_City_New_York.html"}],"maxItems":25,"language":"en"}'

Input reference

Field	Type	Required	Default	What it controls
startUrls	array	yes	—	TripAdvisor hotel page URLs to scrape reviews from.
maxItems	integer	no	0	Maximum reviews to scrape (0 = unlimited).
language	string	no	en	Language filter for reviews (ISO 639-1 code).
proxyConfiguration	object	no	RESIDENTIAL	Proxy settings; residential required by default.

Output example

{
  "id": 1071377162,
  "url": "https://www.tripadvisor.com/ShowUserReviews-g60763-d11854022-r1071377162-...",
  "rating": 5,
  "title": "Loved our stay!",
  "text": "Great hotel. Very clean, staff was so nice and helpful.",
  "publishedDate": "2026-08-03",
  "language": "en",
  "helpfulVotes": 0,
  "tripInfo": { "stayDate": "2026-07-31", "tripType": "FAMILY" },
  "userDisplayName": "Hali R",
  "userProfileUrl": "https://www.tripadvisor.com/Profile/halir755",
  "locationName": "Crowne Plaza HY36 Midtown Manhattan by IHG",
  "mgmtResponse": null
}

How much does it cost to scrape TripAdvisor?

TripAdvisor Reviews Scraper uses pay-per-event billing on Apify:

• $0.001 per review scraped (the headline result event).
• $0.00005 per run for the actor-start event.

Examples: 1,000 reviews cost about $1; 10,000 reviews cost about $10. Residential proxy traffic is billed separately by Apify according to your plan.

Reliability and responsible use

• Uses TripAdvisor's GraphQL API with anti-bot protection handled via residential proxies by default.
• mgmtResponse and photos are only present when the property publishes them.
• Some reviews do not include trip info or a helpful-vote count.
• Scrape only public review data and follow TripAdvisor's terms of service.

Frequently asked questions

Can I scrape reviews for a specific hotel?

Yes. Paste the hotel's review page URL into startUrls. You can pass multiple hotels in a single run.

Can I schedule TripAdvisor Reviews Scraper to run automatically?

Yes. Use Apify's Scheduler or the API to run a hotel URL on a daily or weekly cadence.

What counts as one result?

One review. Use maxItems to cap the number of reviews across all hotels in a run.

Can I filter reviews by language?

Yes. Set language to an ISO 639-1 code such as en, es, or fr. Sixteen languages are supported.

Why are some fields empty?

mgmtResponse and photos only appear when the property publishes them, and not every review includes trip info.

How do I avoid duplicate records?

Deduplicate using the stable review id field before writing to your dashboard or CRM.

Related Scraptivo automations

• Rotten Tomatoes Reviews Scraper — movie and TV ratings and reviews.
• Yelp Scraper — business listings and reviews from Yelp.
• BBB Scraper — business details and accreditation from the Better Business Bureau.
• Trustpilot Reviews Scraper — company reviews from Trustpilot.

Support and custom workflows

Need a different field, source, or delivery workflow? Contact Scraptivo at scraptivo@gmail.com. Include the Actor name, a sample URL, the required fields, and expected volume so we can assess the request.