Tripadvisor Reviews Scraper

  • maxcopell/tripadvisor-reviews
  • Modified
  • Users 127
  • Runs 1.5k
  • Created by Author's avatarMaximillian Copelli

This TripAdvisor review scraper is an Apify actor that allows you to extract reviews for a specific place on TripAdvisor. The actor navigates to the specified TripAdvisor page, and extracts the reviews including the review text, rating, and date.

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Tripadvisor Reviews Scraper

Free trial for 7 days

Then $30.00/month

What does Tripadvisor Reviews Scraper do?

It's a simple and powerful tool that allows you to get all reviews data from Tripadvisor places: place info and address, review text and title, date published, travel date, helpful votes, language, reviewer's username, rating given, number of contributions, owner's response and its date, and more. To get that data, just insert the place URL and click "Save & Start" button.

See more Tripadvisor Scrapers if you need to scrape Tripadvisor restaurants, hotels or things to do.

Why scrape Tripadvisor Reviews?

💪 Tracking competition and finding alternatives
🕵️ Market research or analysis by price, rating, popularity, newness etc.
✨ Finding upcoming areas and new trends across tourism and hospitality industry
👍 Creating a custom database for brand sentiment analysis
📩 Generating leads

How do I use Tripadvisor Reviews Scraper?

Tripadvisor Reviews Scraper was designed to be easy to start with even if you've never extracted data from the web before. Here's how you can scrape Tripadvisor reviews data with this tool:

  1. Create a free Apify account using your email.
  2. Open Tripadvisor Reviews Scraper.
  3. Add one or more Tripadvisor place URLs to scrape their info.
  4. Click "Start" and wait for the data to be extracted.
  5. Download your data in JSON, XML, CSV, Excel, or HTML.


The input for Tripadvisor Reviews Scraper should be a Tripadvisor page URL such as the one above for Hilton Hotel on New York Times Square. You can add one or multiple URLs. You can also specify number of reviews and the start date from which to begin scraping.

Click on the input tab for an input example in JSON.

{ "maxReviews": 50, "proxyConfiguration": { "useApifyProxy": true }, "scrapeReviewerInfo": true, "startUrls": [ { "url": "" } ], "lastReviewDate": "" }

Output sample

This scraper will deliver results in a dataset. You can choose in which format to download it: JSON, Excel, HTML, CSV, or XML. Here's an excerpt from the JSON dataset you'd get if you apply the input parameters above:

[{ "id": "876881438", "lang": "en", "location_id": "208453", "published_date": "2023-01-30T06:23:17-05:00", "published_platform": "Desktop", "rating": "3", "type": "review", "helpful_votes": "0", "url": "", "travel_date": "2022-12", "text": "hotel is very basic, location is what might make it worth it. however BEWARE, have never come across management that flat out lies to save a buck. as hilton gold, i am entitled to $36/night F&B credit, they refused to grant me that claiming i opted for the points instead. on the phone they told me i checked that on the app, and when i complained to Hilton customer service they told them they asked us at check in, both stories are just flat out lies. after several weeks of complains to HH customer service, they decided to pay me out directly, since the hotel management insisted on their false story. all this for $72.", "user": { "user_id": "1FBA357419E13B025D7648DCCAF5EA50", "type": "user", "first_name": null, "last_initial": null, "name": null, "reviewer_type": null, "contributions": { "reviews": "1", "review_city_count": "0", "restaurant_reviews": "0", "hotel_reviews": "1", "attraction_reviews": "0", "helpful_votes": "0", "photos_count": "0", "badges_count": "0" }, "member_id": "0", "username": "NH0878", "user_location": { "name": "Baltimore, Maryland", "id": "60811" }, "avatar": { "small": { "url": "" }, "large": { "url": "" } }, "link": "", "points": "0", "created_time": "2015-10-13T02:54:47-0400", "locale": "en_US" }, "title": "dishonest management", "owner_response": { "id": "877002457", "lang": "en", "published_date": "2023-01-31T06:38:11-05:00", "connection": "Owner", "responder": "Hilton NY Times Square Management", "text": "Thank you, NH0878, for taking the time to share your experience with us. We are very sorry to hear that you did not have a five star experience, as we strive to provide the best service for each of our guests. As a Hilton Honors Gold Member, we place high value on your feedback and to apologize for any inconveniences regarding your F&B credit. If you would like to discuss this further, we welcome the opportunity and can be reached at \n\n\nThank you for your feedback,\nMatthew Waller\nDirector of Hotel Operations \n\n", "title": "Owner Response" }, "subratings": [ { "name": "Sleep Quality", "value": "4" }, { "name": "Cleanliness", "value": "4" }, { "name": "Service", "value": "2" } ], "machine_translated": false, "machine_translatable": false, "placeInfo": { "location_id": "208453", "name": "Hilton New York Times Square", "location_string": "New York City, New York", "latitude": "40.756325", "longitude": "-73.98887", "web_url": "", "website": "", "address_obj": { "street1": "234 West 42nd Street", "street2": "", "city": "New York City", "state": "NY", "country": "United States", "postalcode": "10036" }, "address": "234 West 42nd Street, New York City, NY 10036" } }, { "id": "876497325", "lang": "en", "location_id": "208453", "published_date": "2023-01-27T02:56:44-05:00", "published_platform": "Desktop", "rating": "5", "type": "review", "helpful_votes": "0", "url": "", "travel_date": "2023-01", "text": "The cleanest, most friendly staff, big rooms, smells like a spa! Valet service! No looking for parking and dragging your luggage through the streets! I could not ask for a better hotel. They were closed for the pandemic ( smart) so glad they are back!!! Wouldn’t stay anywhere else. The staff is amazing! Never an unhappy face in this hotel! The beds are so cozy! Don’t miss out on this gem located in the perfect spot! Our go to hotel whenever we are in NYC. A vacation In itself. The staff is so amazing. Did I mention the beautiful smell??? Walk in, smells like a spa! Love love love and I bet you will too!", "user": { "user_id": "2E3D589B1162E1EDBC72E67625CCCBBC", "type": "user", "first_name": null, "last_initial": null, "name": null, "reviewer_type": null, "contributions": { "reviews": "2", "review_city_count": "0", "restaurant_reviews": "0", "hotel_reviews": "2", "attraction_reviews": "0", "helpful_votes": "0", "photos_count": "0", "badges_count": "0" }, "member_id": "0", "username": "05ittybitty", "user_location": { "name": "Oldsmar, Florida", "id": "34505" }, "avatar": { "small": { "url": "" }, "large": { "url": "" } }, "link": "", "points": "0", "created_time": "2013-04-16T10:36:19-0400", "locale": "en_US" }, "title": "THE BEST HOTEL IN TIMES SQUARE…", "owner_response": { "id": "876540946", "lang": "en", "published_date": "2023-01-27T10:31:24-05:00", "connection": "Owner", "responder": "Hilton NY Times Square Management", "text": "Thank you so much for taking the time to share with us this incredible review, 05ittybitty. It is wonderful to hear that our amazing team, well-appointed, clean, and spacious guestrooms, and valet service made for a wonderful experience. We’re delighted that you enjoyed our prime location in Times Square and that you found our guest beds to be comfortable and cozy. Thank you for the compliments regarding our hotel scent. We look forward to your return to Hilton New York Times Square for another exceptional experience. \n\n\nThank you for your feedback,\nMatthew Waller\nDirector of Hotel Operations\n", "title": "Owner Response" }, "subratings": [], "machine_translated": false, "machine_translatable": false, "placeInfo": { "location_id": "208453", "name": "Hilton New York Times Square", "location_string": "New York City, New York", "latitude": "40.756325", "longitude": "-73.98887", "web_url": "", "website": "", "address_obj": { "street1": "234 West 42nd Street", "street2": "", "city": "New York City", "state": "NY", "country": "United States", "postalcode": "10036" }, "address": "234 West 42nd Street, New York City, NY 10036" } }, ...

How many results can you scrape with Tripadvisor reviews scraper?

Tripadvisor scraper can return tens thousands of results on average, for example 55000. However, you have to keep in mind that scraping has many variables to it and may cause the results to fluctuate case by case. There’s no one-size-fits-all-use-cases number. The maximum number of results may vary depending on the complexity of the input, location, and other factors. Some of the most frequent cases are:

  • website gives a different number of results depending on the type/value of the input
  • website has an internal limit that no scraper can cross
  • scraper has a limit that we are working on improving

Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself.

How much will scraping Tripadvisor reviews cost you?

When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do.

Watch this video for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run.

Want to scrape Tripadvisor hotels or restaurants?

You can use the dedicated scrapers below if you want to scrape specific Tripadvisor data. Each of them is built particularly for the relevant Tripadvisor data scraping case be it hotels, restaurants, things to do, or all data at once. Feel free to browse them:

🦉 Tripadvisor Scraper | 🏨 Tripadvisor Hotels Scraper | 🍜 Tripadvisor Restaurants Scraper | 🏛️ Tripadvisor Things To Do Scraper

Not your cup of tea? Build your own scraper

Tripadvisor reviews scraper doesn’t exactly do what you need? You can always build your own! We have various scraper templates in Python, JavaScript, and TypeScript to get you started. Alternatively, you can write it from scratch using our open-source library Crawlee. You can keep the scraper to yourself or make it public by adding it to Apify Store (and find users for it).

Or let us know if you need a custom scraping solution.

Integrations and Tripadvisor Reviews Scraper

Last but not least, Tripadvisor Reviews Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. You can integrate with Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Or you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Tripadvisor Reviews Scraper successfully finishes a run.

Using Tripadvisor Reviews Scraper with the Apify API

The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more.

To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.

Check out the Apify API reference docs for full details or click on the API tab for code examples.

Our Tripadvisor scrapers are ethical and do not extract any private user data. They only extract what the user has chosen to share publicly, on the website. However, you should be aware that your results could contain personal data. You should not scrape personal data unless you have a legitimate reason to do so.

If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the legality of web scraping and ethical scraping.

Your feedback

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Tripadvisor Reviews scraper or simply found a bug, please create an issue on the Actor’s Issues tab in Apify Console.