Tripadvisor Reviews Scraper

Export every Tripadvisor review of a hotel, restaurant or attraction as one clean row: star rating, title, full text, visit month, sub-ratings such as rooms or service, photos and the owner's reply. Paste location IDs or the Tripadvisor links you already have, add as many places as you like, and filter by review language. Each row also carries the place name, overall rating and review count, so you can compare places in one sheet.

What data can you extract?

Field	Type	Description
review_id	Integer	Tripadvisor ID of the review.
title	String or null	Review headline written by the guest.
text	String or null	Full review text.
rating	Integer	Overall star rating from 1 to 5.
published_date	String	Date the review was published, in YYYY-MM-DD format.
stay_month	String or null	Month of the stay or visit, in YYYY-MM format.
helpful_votes	Integer or null	Number of helpful votes from other travelers.
language	String or null	Two-letter language code of the review.
author	String or null	Public Tripadvisor user name of the reviewer.
review_url	String	Link to the review on Tripadvisor.
photos	Array<String> or null	Links to the photos the reviewer added.
sub_ratings	Object or null	Ratings from 1 to 5 by topic, for example rooms, location, cleanliness, service or value for hotels.
owner_response_text	String or null	Text of the owner's or manager's reply. Null when there is no reply.
owner_response_date	String or null	Date of the owner's reply, in YYYY-MM-DD format.
owner_response_author	String or null	Name of the person who replied for the place.
location_id	Integer	Tripadvisor location ID of the place.
location_name	String	Name of the hotel, restaurant or attraction.
location_type	String	Place type, for example hotel, restaurant or attraction.
location_rating	Number or null	Overall Tripadvisor rating of the place, from 1 to 5.
location_review_count	Integer or null	Total number of reviews of the place.
input_location	String	Location ID or link from your input.
scraped_at	String	UTC date and time when this record was collected.

Use cases

• Hotel and restaurant owners can track new reviews and reply rates for their own places and their competitors.
• Hospitality analysts can measure guest sentiment by sub-rating, such as rooms, cleanliness or service.
• Travel agencies can check recent guest feedback before they add a hotel or tour to their offer.
• Data teams can build training sets for review summaries and sentiment models.
• Marketing teams can collect authentic guest quotes for campaigns and websites.

How to use

1. Add one entry per place to locations, with a location ID such as 18941405 or a Tripadvisor link.
2. Optional: set language to a code such as en or de to get only reviews in that language.
3. Set maxResults to the number of reviews you want for each place.
4. Start the run. Each review gives one dataset row with the place name and rating.

{
  "locations": [
    {
      "location_id": "18941405"
    }
  ],
  "maxResults": 20
}

Input

Field	Type	Required	Description
locations	Array<object>	Yes	Tripadvisor places to scrape, one per entry. Paste the location ID or the page link of a hotel, restaurant or attraction.
locations[].location_id	string	Yes per entry	Tripadvisor location ID such as 18941405, or the page link of the hotel, restaurant or attraction. The Actor reads the ID after -d in the link.
locations[].language	string	No	Only reviews written in this language, as a two-letter code such as en, de or es. Leave empty for reviews in all languages.
language	string	No	Only reviews written in this language, as a two-letter code such as en, de or es. Leave empty for reviews in all languages.
maxResults	integer	No	Maximum reviews to save for each location. Tripadvisor returns 20 reviews per page, newest first.
maxPages	integer	No	Maximum pages to request for each batch entry.

Output example

{
  "review_id": 1079812345,
  "title": "Quiet room with a view of the old harbour",
  "text": "We stayed four nights in a sea-view double. The room was spotless, the bed was firm and the breakfast terrace looks straight onto the fishing boats. Staff booked us a table at a great seafood place nearby.",
  "rating": 5,
  "published_date": "2026-09-28",
  "stay_month": "2026-09",
  "helpful_votes": 3,
  "language": "en",
  "author": "Wanderlust_Jo",
  "review_url": "https://www.tripadvisor.com/ShowUserReviews-g190454-d2155823-r1079812345-Harbour_Lights_Boutique_Hotel-Vienna.html",
  "photos": [
    "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/2f/1a/7c/10/caption.jpg?w=1024&h=-1&s=1"
  ],
  "sub_ratings": {
    "value": 4,
    "rooms": 5,
    "location": 5,
    "cleanliness": 5,
    "service": 5,
    "sleep_quality": 4
  },
  "owner_response_text": "Thank you for staying with us and for the kind words about our breakfast terrace. We hope to welcome you back soon.",
  "owner_response_date": "2026-10-01",
  "owner_response_author": "Anna M",
  "location_id": 2155823,
  "location_name": "Harbour Lights Boutique Hotel",
  "location_type": "hotel",
  "location_rating": 4.5,
  "location_review_count": 1318,
  "input_location": "18941405",
  "scraped_at": "2026-10-01T12:00:00Z"
}

Pricing

$1.00 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Pagination follows the source response. Set maxPages per batch entry and maxResults for each entry.

FAQ

Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

What limits apply?

Submit up to 100 batch entries per run. Use maxResults to cap saved items for each entry and maxPages to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.

Can I start runs through the Apify API?

Yes. Send a POST request to https://api.apify.com/v2/acts/thescrappa~tripadvisor-reviews-scraper/runs with your Actor input, or use an Apify client library. Read the output from the run dataset.

Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

Where do I find the Tripadvisor location ID?

It is the number after -d in the page link. In Hotel_Review-g30196-d18941405-Reviews the ID is 18941405. You can also paste the whole link, or find IDs with the Tripadvisor Search Scraper.

How many reviews can I get for one place?

Up to 5,000 per place and run, 20 per page, newest first. Set maxResults to stop earlier.

Why are some sub-ratings or photos empty?

Tripadvisor shows them only when the reviewer added them. Sub-rating names depend on the place type, for example rooms for hotels or food for restaurants.

Related Scrappa Actors

• Tripadvisor Search Scraper
• Tripadvisor Place Details Scraper
• Google Maps Reviews Scraper
• Booking.com Reviews Scraper
• Airbnb Reviews Scraper