Tripadvisor Reviews Scraper

What does TripAdvisor Reviews Scraper do?

TripAdvisor Reviews Scraper collects structured hotel reviews from one or more public TripAdvisor hotel review pages. Enter hotel URLs as a string array, choose how many reviews to collect, optionally filter and sort them through the TripAdvisor reviews API, and receive dataset records containing ratings, review text, dates, trip details, reviewer information, management responses, and additional ratings when available.

This TripAdvisor data extractor is useful for hotel reputation monitoring, competitor research, guest-feedback analysis, travel market research, and dashboards. The Actor follows review pagination automatically and removes duplicate records before saving the dataset.

Why use TripAdvisor Reviews Scraper?

• Create a clean review dataset - Collect consistent review records instead of copying feedback manually from individual pages.
• Analyze guest experience - Study ratings, review titles, full text, trip types, stay dates, helpful votes, and additional category ratings.
• Monitor hotel reputation - Schedule repeat runs in Apify to compare new review activity, ratings, and management responses over time.
• Support competitive research - Build comparable review datasets for hotels in the same destination by running the Actor once per hotel.
• Connect results to workflows - Export the dataset as JSON, CSV, Excel, or XML, or pass run results to spreadsheets, webhooks, and automation tools.
• Control collection size - Set a review limit and a page limit so each run matches your research or monitoring workflow.

No TripAdvisor API key is required. You only need a valid TripAdvisor hotel review page URL and an Apify run.

What data can you extract from TripAdvisor?

Each saved dataset item represents one hotel review. Empty values are omitted from individual records when the source page does not provide them.

Field	Type	Description
item_type	String	Record type, currently review.
review_id	String	Unique TripAdvisor review identifier when available.
location_id	String	TripAdvisor identifier for the hotel or location.
location_name	String	Hotel or location name.
location_type	String	TripAdvisor place type when available.
rating	Number	Rating assigned to the review.
title	String	Review headline or title.
review_text	String	Full review text.
language	String	Language associated with the review.
original_language	String	Original review language when available.
published_date	String	Date the review was published.
created_date	String	Review creation date when available.
trip_type	String	Trip category, such as couples, family, or business.
stay_date	String	Date or period associated with the guest stay.
helpful_votes	Number	Number of helpful votes received by the review.
user_id	String	Reviewer identifier when available.
user_name	String	Reviewer display name or username.
user_profile_url	String	Link to the reviewer profile when available.
user_contributions	Number	Total user contributions when published by TripAdvisor.
user_hometown	String	Reviewer hometown or location when available.
source_url	String	Hotel review page used for the run.
review_url	String	Direct link to the individual review when available.
management_response_text	String	Response from the hotel or management team.
management_response_date	String	Date of the management response.
additional_ratings	Object	Category ratings, such as location, cleanliness, service, or value, when available.
total_reviews_on_page	Number	Total number of reviews reported for the selected hotel page.

How to scrape TripAdvisor hotel reviews

1. Open TripAdvisor Reviews Scraper in Apify Console.
2. Add one or more TripAdvisor hotel review page URLs to startUrls.
3. Set results_wanted to the maximum number of review records you want.
4. Set max_pages if you want to limit how many review pages are checked.
5. Optionally set sortBy, searchText, or lang.
6. Optionally configure an Apify proxy for more consistent collection.
7. Start the run and open the dataset when it finishes.
8. Download the results or connect them to your reporting and automation workflow.

Use a canonical hotel URL containing a location segment such as -d14930175-. The Actor reads the hotel location identifier from the URL, so a hotel review page is required rather than a TripAdvisor search page or a general website URL.

Input Parameters

startUrls is required. The remaining parameters have safe defaults and can be omitted.

Parameter	Type	Required	Default	Description
startUrls	String array	Yes	Sample hotel URL	One or more TripAdvisor hotel review page URLs. Each URL must contain the hotel location identifier.
results_wanted	Integer	No	20	Maximum total number of unique reviews to save across all URLs. Minimum value is 1.
max_pages	Integer	No	5	Maximum number of API review pages to check per hotel. Minimum value is 1.
searchText	String	No	Empty	TripAdvisor API text filter. Empty disables the filter.
sortBy	Enum	No	MOST_RECENT	Supported values: MOST_RECENT or HIGHEST_RATED.
lang	String	No	Empty	Optional review language code such as en or fr.
proxyConfiguration	Object	No	Apify proxy enabled by default in the input form	Optional Apify proxy settings. Residential proxy routing is recommended for more consistent runs.

The prefilled URL is a sample TripAdvisor hotel page. Replace it with the hotel you want to analyze.

Output Data

The main output is an Apify dataset containing one item per unique review. The Actor also stores a RUN_INFO record with the selected URLs, per-location summaries, requested and saved counts, pages fetched, selected sort, and the exact API filters sent.

Field	Type	Description
item_type	String	Always review for dataset items.
review_id	String	Review identifier.
location_id	String	Hotel location identifier.
location_name	String	Hotel name.
location_type	String	Location type.
rating	Number	Review rating.
title	String	Review title.
review_text	String	Review content.
language	String	Review language.
original_language	String	Original language.
published_date	String	Publication date.
created_date	String	Creation date, when available.
stay_date	String	Guest stay date or period.
trip_type	String	Trip category.
helpful_votes	Number	Helpful vote total.
user_id	String	Reviewer ID.
user_name	String	Reviewer name.
user_profile_url	String	Reviewer profile link.
user_contributions	Number	Reviewer contribution total.
user_hometown	String	Reviewer hometown.
source_url	String	Input hotel URL.
review_url	String	Individual review URL.
management_response_text	String	Hotel response text.
management_response_date	String	Hotel response date.
additional_ratings	Object	Category rating values.
total_reviews_on_page	Number	Total reviews reported for the hotel.

Usage Examples

Basic hotel review extraction

Collect up to 20 reviews from one TripAdvisor hotel page using the default page limit.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html"
  ],
  "results_wanted": 20
}

Collect more reviews across additional pages

Request up to 100 unique reviews and allow the Actor to check up to 20 pages.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html",
    "https://www.tripadvisor.com/Hotel_Review-g60763-d93425-Reviews-The_Plaza-New_York_City_New_York.html"
  ],
  "results_wanted": 100,
  "max_pages": 20
}

Use Apify residential proxy routing

Enable residential proxy routing for a run that needs more consistent access to the selected hotel page.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html"
  ],
  "results_wanted": 50,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Filter and sort reviews through the API

The following sends verified TripAdvisor GraphQL filters and requests the highest-rated reviews. Filters are applied before pagination.

{
  "startUrls": [
    "https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html"
  ],
  "results_wanted": 50,
  "sortBy": "HIGHEST_RATED",
  "searchText": "breakfast",
  "lang": "en"
}

Sample Output

The following example shows one realistic dataset item. Fields may be omitted when TripAdvisor does not publish the corresponding value.

{
  "item_type": "review",
  "review_id": "987654321",
  "location_id": "14930175",
  "location_name": "Sheraton Istanbul City Center",
  "location_type": "HOTEL",
  "rating": 5,
  "title": "Excellent stay in Istanbul",
  "review_text": "The room was clean, the staff were helpful, and the location made it easy to explore the city.",
  "language": "en",
  "original_language": "en",
  "published_date": "2026-06-18",
  "created_date": "2026-06-18T09:42:00Z",
  "trip_type": "Couples",
  "stay_date": "2026-06",
  "helpful_votes": 4,
  "user_id": "user-12345",
  "user_name": "TravelExplorer",
  "user_profile_url": "https://www.tripadvisor.com/Profile/TravelExplorer",
  "user_contributions": 18,
  "user_hometown": "London, United Kingdom",
  "source_url": "https://www.tripadvisor.com/Hotel_Review-g293974-d14930175-Reviews-Sheraton_Istanbul_City_Center-Istanbul.html",
  "review_url": "https://www.tripadvisor.com/ShowUserReviews-g293974-d14930175-r987654321-Sheraton_Istanbul_City_Center-Istanbul.html",
  "management_response_text": "Thank you for sharing your feedback. We are pleased you enjoyed your stay.",
  "management_response_date": "2026-06-20",
  "additional_ratings": {
    "Location": 5,
    "Cleanliness": 5,
    "Service": 5,
    "Value": 4
  },
  "total_reviews_on_page": 1287
}

Tips for best results

• Use the complete hotel review page URL, including the -d<locationId>- segment.
• Start with results_wanted: 20 to confirm that the URL and output meet your needs.
• Increase max_pages when you request a larger dataset. The Actor checks up to 20 reviews per page.
• Enable the recommended residential proxy option when a run is inconsistent or the source page is difficult to access.
• Add multiple hotel URLs to startUrls when you want one run to collect from several hotels. results_wanted is a global limit across the URLs.
• Review the dataset preview before setting up a recurring schedule.
• Expect some fields to be empty or absent when the reviewer or hotel has not published that information.

Integrations and export formats

• Apify API - Start runs, retrieve dataset items, and connect review data to your application.
• Google Sheets - Export review records for filtering, reporting, and team analysis.
• Webhooks - Notify another service when a run completes.
• Make or Zapier - Send new datasets into no-code workflows.
• JSON - Use structured records in applications, scripts, and data pipelines.
• CSV or Excel - Analyze ratings, dates, and review text in spreadsheet tools.
• XML - Provide records to systems that require XML exports.

Frequently Asked Questions

Can I scrape reviews from any TripAdvisor hotel?

Yes, provide the public TripAdvisor review page for the hotel you want to collect. The URL must contain the hotel location identifier, such as -d14930175-.

Can I collect reviews from multiple hotels in one run?

Yes, add multiple hotel URLs to the startUrls string array. The Actor deduplicates reviews and applies results_wanted across the complete run.

Which filters and sort orders are supported?

The actor supports searchText and lang filters. sortBy supports MOST_RECENT and HIGHEST_RATED; these are mapped to the exact GraphQL values discovered for the TripAdvisor reviews API.

How many reviews can I collect?

You can request any positive results_wanted value, subject to the number of reviews available and the max_pages limit. Each page can provide up to 20 reviews.

Does the Actor remove duplicate reviews?

Yes, duplicate records are filtered before they are saved to the dataset.

Are empty fields included in the dataset?

No, empty and null values are omitted from individual review records. Fields can still be absent when TripAdvisor does not provide the information.

Do I need a TripAdvisor API key?

No, this Actor does not require a TripAdvisor API key. Configure the input, start the run in Apify, and inspect the resulting dataset.

Can I schedule TripAdvisor review collection?

Yes, create an Apify schedule to run the Actor hourly, daily, weekly, or at a custom interval. Scheduled snapshots can help track new reviews and changing ratings.

What should I do if a run returns no reviews?

Confirm that every startUrls value is a valid public hotel review page with a -d<locationId>- segment. Try a smaller result limit, enable residential proxy routing, and report persistent problems through the Actor Issues tab.

Can I export TripAdvisor reviews to CSV or Excel?

Yes, Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats after the run completes.

Is it legal to collect TripAdvisor reviews?

You are responsible for complying with applicable laws, TripAdvisor terms, privacy requirements, and any restrictions that apply to your use of the data. Collect and use publicly available review information responsibly.

Related Actors

• Tripadvisor Hotels Scraper - Collect hotel listings, ratings, review counts, pricing signals, amenities, and location details from TripAdvisor city and hotel listing pages.
• Agoda Reviews Scraper - Collect hotel ratings, guest feedback, review metadata, traveler segments, and reviewer context from Agoda property pages.

Support

For setup questions, issue reports, or feature requests, use the Issues tab on the Actor page. Include the input URL, relevant run details, and the fields or behavior you expected so the problem can be investigated.

Legal Notice

TripAdvisor Reviews Scraper is provided for legitimate research, monitoring, and analytics workflows using publicly accessible information. Users are responsible for complying with applicable laws, website terms, privacy rules, and any requirements related to storing or using reviewer-generated content.