✨ TripAdvisor Review Collector 🚗🏠

The TripAdvisor Review Scraper is a powerful tool designed to collect comprehensive review data from any specified TripAdvisor detail page. 🌟 With this Actor, users can effortlessly input any review link, allowing for flexible data collection tailored to their needs.

🔑 Key Features

• Versatile Input : Users can submit any TripAdvisor detail page link to gather reviews, whether it’s for hotels, restaurants, or attractions. 🏨🍽️🏞️
• Date Range Flexibility : The scraper captures all reviews from today up to a user-defined end date, ensuring a complete and current dataset. 📅
• Language Customization : Users can specify the language for the reviews they wish to collect, making it easy to target specific audiences. 🌐
• Fast Collection Speed : The Actor operates quickly to ensure efficient data scraping without compromising quality. ⚡

📅Data Collected Includes

• Hotel/Restaurant Name
• Location ID and Geo Information
• Review Summary (Rating and Count) ⭐
• User Ratings Breakdown (Excellent, Very Good, Average, Poor, Terrible)
• Reviewer Details (Username and Address) 📝
• Review Content (Rating, Title, Text, Date, Stay Date, Trip Type)
• Review Photos 📸
• Helpful Votes 👍
• Additional Ratings (Value, Location, Service)

📝 Example Output

1{
2    "hotel_name": "Luma Hotel Time Square",
3    "location_id": 10679074,
4    "parent_geo_id": 60763,
5    "place_type": "ACCOMMODATION",
6    "review_summary": {
7      "rating": 5,
8      "count": 3028
9    },
10    "accommodation_category": "HOTEL",
11    "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d10679074-Reviews-Luma_Hotel_Time_Square-New_York_City_New_York.html",
12    "traveler_ratings": {
13      "Excellent": 2535,
14      "Very_Good": 369,
15      "Average": 74,
16      "Poor": 28,
17      "Terrible": 24
18    },
19    "reviewer_username": "Anna S",
20    "reviewer_address": "",
21    "review_rating": 5,
22    "review_title": "Excellent experience ",
23    "published_date": "2024-01-03",
24    "stay_date": "2023-12",
25    "trip_type": "FRIENDS",
26    "review_text": "I stayed at Luma over the New Years Eve weekend and it was a fabulous stay. I wouldn’t change one thing. Our flight landed really early in the morning at 6 AM and the hotel was able to accommodate an earlier check-in for us. We stayed in the Luma suite and the room was fantastic. It had the best view of the ball dropping. The room itself was great and the bed was super comfortable. The best thing about this day was the service from all of the employees from the person opening the door to housekeeping. Everyone was so nice and always said hello and greeted with a smile. I’m a travel agent, and would highly recommend this hotel to anyone who wants to be in the hustle and bustle of Times Square. The hotel is not over crowded and in a really great location. Anything you could want is nearby. Thanks Luma!",
27    "review_photos": [
28      "https://media-cdn.tripadvisor.com/media/photo-w/2b/24/c8/4c/caption.jpg",
29      "https://media-cdn.tripadvisor.com/media/photo-w/2b/24/c8/51/caption.jpg",
30      "https://media-cdn.tripadvisor.com/media/photo-w/2b/24/c8/49/caption.jpg",
31      "https://media-cdn.tripadvisor.com/media/photo-m/1280/2b/24/c8/50/caption.jpg",
32      "https://media-cdn.tripadvisor.com/media/photo-m/1280/2b/24/c8/4d/caption.jpg",
33      "https://media-cdn.tripadvisor.com/media/photo-w/2b/24/c8/4b/caption.jpg",
34      "https://media-cdn.tripadvisor.com/media/photo-m/1280/2b/24/c8/4a/caption.jpg",
35      "https://media-cdn.tripadvisor.com/media/photo-w/2b/24/c8/4f/caption.jpg",
36      "https://media-cdn.tripadvisor.com/media/photo-w/2b/24/c8/4e/caption.jpg"
37    ],
38    "helpful_votes": 0,
39    "additional_ratings": {
40      "Value": 5,
41      "Location": 5,
42      "Service": 5
43    }
44  }

📩Support and Feedback

If you encounter any issues or have suggestions for improvements, feel free to reach out to us through the Apify support channels or leave feedback on the Actor's page.