Effortlessly extract detailed TripAdvisor hotel reviews with comprehensive data including ratings, user information, and detailed feedback. Perfect for market research, competitor analysis, and hospitality insights. 🏨✨
Extract detailed hotel reviews from TripAdvisor effortlessly! This actor helps you scrape comprehensive review data including ratings, user information, and detailed feedback.
Simply provide the TripAdvisor hotel review URL, and optionally set the maximum number of reviews you want to collect. The actor will handle everything else!
The actor provides rich, structured data for each review including:
A full explanation of an input example in JSON.
1{ 2 "reviewUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d7255276-Reviews-The_Knickerbocker-New_York_City_New_York.html", 3 "maxItems": 15 4}
The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:
And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.
1[ 2 { 3 "id": 979050509, 4 "url": "/ShowUserReviews-g60763-d7255276-r979050509-The_Knickerbocker-New_York_City_New_York.html", 5 "hotel": { 6 "id": 7255276, 7 "name": "The Knickerbocker", 8 "type": "ACCOMMODATION" 9 }, 10 "review": { 11 "title": "Comfortable and great location", 12 "content": "Lovely location, comfortable rooms, great sheets and showers. Rooms could be bigger and reception area a little uninviting. Staff could be more smiley! Breakfast excellent but ridiculously expensive . ", 13 "rating": 4, 14 "language": "en", 15 "originalLanguage": "en", 16 "createdDate": "2024-11-07", 17 "publishedDate": "2024-11-07", 18 "helpfulVotes": 0 19 }, 20 "detailedRatings": { 21 "value": 4, 22 "rooms": 4, 23 "location": 5, 24 "cleanliness": 5, 25 "service": 5, 26 "sleep quality": 4 27 }, 28 "user": { 29 "id": "DF9B9AF95A7EC733DFDB3228C101FA4C", 30 "name": "Fsud69", 31 "username": "Fsud69", 32 "isVerified": false, 33 "avatar": "https://dynamic-media-cdn.tripadvisor.com/media/photo-o/1a/f6/f6/0d/default-avatar-2020-34.jpg?w=100&h=100&s=1", 34 "hometown": "London, United Kingdom", 35 "profileUrl": "/Profile/Fsud69" 36 }, 37 "trip": { 38 "stayDate": "2024-10-31", 39 "type": "NONE" 40 }, 41 "platform": "OTHER", 42 "domain": "tripadvisor.com", 43 "photos": [] 44 }, 45 ... 46]
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!