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TripAdvisor Reviews Scraper
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TripAdvisor Reviews Scraper

TripAdvisor Reviews Scraper

Try for free

1 day trial then $15.00/month - No credit card required now

Gather any feedback, ratings, and comments on TripAdvisor. Ideal for market analysts, hospitality businesses, content creators, and researchers, this tool offers an easy way to collect and analyze traveler reviews. Streamline your research with quick, reliable, and user-friendly data extraction.

TripAdvisor Reviews Scraper Actor

What is TripAdvisor Reviews Scraper actor?

The TripAdvisor Reviews Scraper Actor is a simple tool on Apify that grabs reviews from TripAdvisor quickly and easily. It's perfect for anyone who needs to collect feedback, ratings, and comments from travelers. Whether you're looking to analyze trends, gauge customer sentiment, or gather data for research, this tool simplifies the process by providing structured data ready for analysis.

Key features

  • 📥 Grab Lots of Reviews: Pull info like comments, scores, and more from TripAdvisor without a hassle.
  • 👆 You Decide What to Collect: Users have the freedom to specify the scope of data collection, from a single page of reviews to extensive data spanning multiple pages.
  • 👍 Easy for Everyone: This tool is super easy to use, whether you're a tech pro or not.
  • 💾 Get Data Your Way: Offers the flexibility to export data in various formats, making it compatible with different analysis tools and platforms.
  • Quick and Reliable: Even if you need a ton of reviews, this tool does the job fast and without mistakes.

Use Cases | Who Can Use TripAdvisor Reviews Scraper

  • Market Analysts & Researchers to gain invaluable insights into market trends, customer preferences, and industry standards by analyzing TripAdvisor reviews.
  • Hospitality Businesses to leverage detailed customer feedback to pinpoint areas of improvement and celebrate strengths in hotels, restaurants, and service providers.
  • Content Creators & Bloggers to enrich travel content with authentic reviews and ratings, providing readers with valuable insights into destinations and accommodations.
  • Academic & Market Researchers to utilize a vast dataset of user-generated content for studies in tourism, hospitality management, consumer behavior, and more.


When you want to scrape over the reviews from a specific URL, just copy and paste the link as one of the startUrls.

It is recommended to keep the other options as default.

Input Parameters Explained

The input of this scraper should be JSON containing the list of pages on TripAdvisor that should be visited. Required fields are:

  • startUrls: (Optional) (Array)

    List of TripAdvisor URLs. You should only provide a TripAdvisor detail URLs.

  • endPage: (Optional) (Number)

    Final number of page that you want to scrape. The default is Infinite. This applies to all search requests and startUrls individually.

  • maxItems: (Optional) (Number)

    You can limit scraped items. This should be useful when you search through the big lists or search results.

  • proxy: (Required) (Proxy Object)

    Proxy configuration.

  • extendOutputFunction: (Optional) (String)

    A function that takes a JQuery handle ($) as an argument and returns an object with data.

  • customMapFunction: (Optional) (String)

    A function that takes each object's handle as an argument and returns the object with executing the function.

This solution requires the use of Proxy servers, either your own proxy servers or you can use Apify Proxy.

TripAdvisor Reviews Scraper Input Examples

2  "startUrls": [
3    "",
4    ""
5  ],
6  "endPage": 1,
7  "maxItems": 20,
8  "customMapFunction": "(object) => { return {...object} }",
9  "proxy": {
10    "useApifyProxy": true
11  }

Compute Unit Consumption

The actor is optimized to run blazing fast and scrape as many items as possible. Therefore, it forefronts all the detailed requests. If the actor doesn't block very often it'll scrape 100 listings in 20 seconds with ~$0.005-$0.006 compute units.

Bugs, fixes, updates, and changelog

This scraper is under active development. If you have any feature requests you can create an issue from here.

During the Run

During the run, the actor will output messages letting you know what is going on. Each message always contains a short label specifying which page from the provided list is currently specified. When items are loaded from the page, you should see a message about this event with a loaded item count and total item count for each page.

If you provide incorrect input to the actor, it will immediately stop with a failure state and output an explanation of what is wrong.


The structure of each item in the TripAdvisor Reviews scraper looks like this:

2	"id": "945493367",
3	"lang": "es",
4	"location_id": "15288822",
5	"published_date": "2024-04-05",
6	"published_platform": "OTHER",
7	"rating": "5",
8	"helpful_votes": "0",
9	"url": "",
10	"travel_date": "2024-04-30",
11	"text": "Una buena estancia en el hotel, la ubicación perfecta y el servicio muy agradable! Han resuelto cualquier pequeño inconveniente y han hecho la estancia muy cómoda. Leidi ha sido muy atenta con nosotros 😁\nHay mucho ambiente en el hall del hotel.\nRecomendable al 100%",
12	"title": "Buen hotel",
13	"user": {
14		"user_id": "6BE867CF35056381C1ABDB41B4628A4D",
15		"name": "claram416",
16		"contributions": {
17			"reviews": "1",
18			"helpful_votes": "0"
19		},
20		"username": "claram416",
21		"user_location": null,
22		"avatar": {
23			"small": {
24				"url": ""
25			},
26			"large": {
27				"url": ""
28			}
29		},
30		"link": "/Profile/claram416"
31	},
32	"owner_response": {
33		"id": "945566927",
34		"lang": "en",
35		"published_date": "2024-04-06",
36		"connection": "Guest Services / Front Office",
37		"responder": "Marriott Hotels",
38		"text": "Dear claram416, Thank you for taking the time to review your stay with SpringHill Suites New York Manhattan/Times Square South. We're thrilled that you enjoyed our perfect location and found our service to be very pleasant. It's also great to know that any issues were promptly resolved to ensure a comfortable stay and that our lively hotel atmosphere adds to the overall experience. We appreciate your kind words about Leidi; she will be delighted to receive your praise. Thank you for recommending us, and we look forward to welcoming you back for another enjoyable stay. \n\nBest regards,\nGuest Service Team"
39	},
40	"subratings": [
41		{
42			"name": "Value",
43			"value": "5"
44		},
45		{
46			"name": "Rooms",
47			"value": "5"
48		},
49		{
50			"name": "Location",
51			"value": "5"
52		},
53		{
54			"name": "Cleanliness",
55			"value": "5"
56		},
57		{
58			"name": "Service",
59			"value": "5"
60		},
61		{
62			"name": "Sleep Quality",
63			"value": "4"
64		}
65	]

How to use TripAdvisor Reviews Scraper


🎯 Can I target specific TripAdvisor listings for review extraction?
Absolutely. The TripAdvisor Reviews Scraper Actor allows users to specify URLs of specific listings to precisely target the data needed.

📊 What kind of data can I expect to collect with this scraper?
The scraper collects comprehensive review data, including text reviews, user ratings, dates of stay, and more, structured for easy analysis.

📈 How does this tool handle large volumes of reviews?
Designed for efficiency, the scraper can handle extensive data extraction tasks, seamlessly collecting large volumes of reviews without sacrificing speed or accuracy.

🛠️ Is technical expertise required to use this scraper?
No, the TripAdvisor Reviews Scraper Actor is designed to be user-friendly, requiring no technical skills for setup or operation, making it accessible to all users.

🔍 What if I need to start with keyword research?
For those instances, the TripAdvisor Scraper is available. It's designed to initiate the data collection process with keyword research, helping users gather data on places, including descriptions, locations, ratings, and more.


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Maintained by Community
Actor metrics
  • 19 monthly users
  • 98.0% runs succeeded
  • 0.37 days response time
  • Created in Feb 2024
  • Modified about 3 hours ago