Tripadvisor Reviews Scraper
Pricing
$9.00/month + usage
Tripadvisor Reviews Scraper
Scrape reviews from TripAdvisor hotels, restaurants, and attractions. Extract review text, ratings, review dates, trip types, and author information, preserving the original structure and metadata provided on each listing for consistent analysis and integration into downstream data workflows.
Pricing
$9.00/month + usage
Rating
5.0
(1)
Developer

ParseForge
Actor stats
1
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
Categories
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π TripAdvisor Scraper
π¦ Collect hotels, restaurants, and attractions data from TripAdvisor at high speed.
π Looking for travel industry data? TripAdvisor Scraper extracts detailed information from TripAdvisor listing pages. Perfect for market research, competitive analysis, and travel industry insights.
π₯ Target Audience: Hospitality businesses, travel agencies, market researchers, data analysts π― Primary Use Cases: Market research, competitive analysis, lead generation, destination research
π What Does TripAdvisor Scraper Do?
This tool collects hotels, restaurants, and attractions data from TripAdvisor, supporting both listing research and competitive intelligence. It delivers:
- π¨ Hotels - name, rating, review count, star class, price range, amenities, contact info
- π½οΈ Restaurants - name, rating, review count, cuisines, price level, meal types
- π½ Attractions - name, rating, review count, categories, features
- π Location details - full address, coordinates, neighborhoods, parent locations
π‘ Business Value: Use this data to monitor competitor ratings, benchmark pricing, and build comprehensive destination databases without manual copying.
π§ Input
To start TripAdvisor web scraping, simply fill in the input form. You can scrape TripAdvisor based on:
- π startUrls - Paste TripAdvisor URLs for hotels, restaurants, or attractions you want to collect
- π’ maxItems - Set how many locations to collect
{"startUrls": [{ "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d224214-Reviews-The_Bryant_Park_Hotel-New_York_City_New_York.html" },{ "url": "https://www.tripadvisor.com/Restaurant_Review-g60763-d457808-Reviews-Katz_s_Delicatessen-New_York_City_New_York.html" },{ "url": "https://www.tripadvisor.com/Attraction_Review-g60763-d103887-Reviews-Statue_of_Liberty-New_York_City_New_York.html" }],"maxItems": 10}
π Supported URL Formats
The scraper accepts detail page URLs containing -d{locationId}-:
- π¨
Hotel_Review-g60763-d224214-Reviews-... - π½οΈ
Restaurant_Review-g60763-d457808-Reviews-... - π½
Attraction_Review-g60763-d103887-Reviews-...
πΎ Output
After the Actor finishes its run, you'll get a dataset with the output. π The length of the dataset depends on the amount of results you've set. You can download those results as an Excel, HTML, XML, JSON, and CSV document.
β Each item includes comprehensive data based on the listing type:
{"id": "224214","type": "HOTEL","name": "The Bryant Park Hotel","rating": 4.7,"numberOfReviews": 5419,"rankingString": "#1 of 574 hotels in New York City","priceRange": "$388 - $1,264","hotelClass": "4.0","phone": "+16467591610","email": "info@bryantparkhotel.com","address": "40 West 40th Street, New York City, NY 10018-2602","latitude": 40.752895,"longitude": -73.983696,"website": "http://www.bryantparkhotel.com","webUrl": "https://www.tripadvisor.com/Hotel_Review-g60763-d224214-...","image": "https://media-cdn.tripadvisor.com/media/photo-o/...","description": "Nestled at the entrance of Bryant Park...","neighborhoodLocations": [{ "id": "7102352", "name": "Midtown" }],"ancestorLocations": [{ "id": "60763", "name": "New York City", "subcategory": "City" }]}
π Output Fields
| Field | Description |
|---|---|
| id | TripAdvisor location ID |
| type | HOTEL, RESTAURANT, or ATTRACTION |
| name | Property or business name |
| rating | TripAdvisor rating (1-5 scale) |
| numberOfReviews | Total review count |
| rankingString | Ranking within the location |
| priceRange / priceLevel | Price information |
| hotelClass | Star rating (hotels only) |
| phone / email / website | Contact information |
| address / addressObj | Full address details |
| latitude / longitude | Geographic coordinates |
| image | Primary photo URL |
| cuisines / mealTypes | Restaurant-specific fields |
| amenities / features | Available amenities |
π₯ Download Options: CSV, Excel, or JSON formats for easy analysis.
β‘ Why Choose the TripAdvisor Scraper?
- β Complete Data - Get ratings, reviews, contact info, and location details in one run
- β Multiple Listing Types - Hotels, restaurants, and attractions in a single tool
- β‘ Fast Processing - Parallel batches with ~50-100ms per location
- β No Manual Work - Automate data collection that would take hours by hand
- β Easy Integration - Connect with Make, Zapier, Slack, and more
β° Time Savings: Replace hours of manual copying and formatting with a single automated run.
π― Business Use Cases
π¨ Hospitality Businesses:
- π Monitor competitor ratings and pricing
- π Track property rankings over time
- π Benchmark against market leaders
βοΈ Travel Agencies:
- π Build destination databases
- βοΈ Compare accommodation options
- πΊοΈ Research attractions for tour packages
π Market Researchers:
- π Analyze hospitality market trends
- π° Study pricing patterns by region
- π Generate competitive intelligence
π Data Analysts:
- ποΈ Build comprehensive travel databases
- π Create regular market reports
- β Support business decisions with data
π± How to Use
- π Sign Up: Create a free account w/ $5 credit (takes 2 minutes)
- π Find the Scraper: Visit the TripAdvisor Scraper page on Apify
- βοΈ Set Input: Add your TripAdvisor URLs (hotel, restaurant, or attraction pages)
- βΆοΈ Run It: Click "Start" and let it collect your data
- πΎ Download Data: Get your results in the "Dataset" tab as CSV, Excel, or JSON
β° Total Time: Typically 2-5 minutes from signup to first download β No Technical Skills Required: Everything is point-and-click
β Frequently Asked Questions
Q: How does it work? π€ A: TripAdvisor Scraper is easy to use and requires no technical knowledge. Simply paste your URLs, set your limit, and let the tool collect the data automatically.
Q: How accurate is the data? β A: The data is collected directly from TripAdvisor in real time, so you get the latest ratings, reviews, and information available on the site.
Q: Can I schedule regular runs? β° A: Yes. Use the Apify API or integrations like Make or Zapier to schedule automated runs and keep your data up to date.
Q: What if I need help? π A: Apify provides documentation and support. Visit the Apify platform for help resources.
Q: Is my data secure? π‘οΈ A: Apify handles data securely. Your runs and datasets are private to your account.
π Integrate TripAdvisor Scraper with any app and automate your workflow
π Last but not least, TripAdvisor Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.
These include:
π Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever TripAdvisor Scraper successfully finishes a run.
π Recommended Actors
π Looking for more data collection tools? Check out these related actors:
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|---|---|---|
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| π‘ REMAX Real Estate Scraper | Collects real estate listings from REMAX | REMAX Scraper |
π‘ Pro Tip: Browse our complete collection of data collection actors to find the perfect tool for your business needs.
π‘οΈ Need Help? Our support team is here to help you get the most out of this tool.
π Contact
π© Contact us to request a new scraper, propose a custom data project, or report a technical issue with this actor at https://tally.so/r/BzdKgA
β οΈ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by TripAdvisor or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.