LAGIC
Lead Audience Growth Intelligence Computing
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Tripadvisor Scraper — Tripadvisor | Lagic

Built ForHospitality & TourismMarket ResearchFood & Beverage

Curated Travel Data for Market Insights

Curated by Lagic·Verified working

Configure Agent

You can enter a location name or a keyword here. If you search for a location, the scraper will take the first 'Location' type result and scrape hotels, restaurants, and attractions for that location. If you search for a keyword, the scraper will only scrape places directly listed on the search results page (it won't crawl destinations listed among those results).

URLs to start with instead of a location name. You can use URLs with search query included (containing 'Search?q='), tourism URLs or URLs pointing to a concrete hotel, restaurant, or attraction (containing 'Hotel_Review', 'Restaurant_Review', or 'Attraction_Review'). URLs of **public** trips are supported as well. The Agent can also handle category URLs for all 3 kinds of places, including search filters. Just note that the Agent also scrapes nearby results for hotels. You can tell them apart fr..

Limit the number of places to be scraped per search query/start URL. If you want to set a limit across all search queries use 'Options' -> 'Maximum charged results'. Set this field to a value larger than `3000` to activate the *'deeper city search'*.

Include review tags

If checked, the results will include not only results strictly matching your search criteria but also their nearby results. This feature is currently available only for hotels and restaurants.

If checked, the results will include attractions/things to do for a given location.

If checked, the results will include restaurants for a given location.

If checked, the results will include hotels for a given location.

Results to deliver

400 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

4 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Place name, address, and contact information (phone, email, website)Category and subtype of the place (hotel, restaurant, attraction)Overall rating and total number of reviewsDetailed review counts for each star rating (1 to 5)Description of the place and local language detailsGeographic coordinates (latitude, longitude)
contact@...Value...993281Value...Value...
contact@...Value...489337Value...Value...
..................
Exports as:CSVXLSXJSON

Overview

This Tripadvisor scraper extracts comprehensive data on hotels, restaurants, and attractions, including ratings, reviews, addresses, and pricing, to help you analyze travel trends and local business landscapes. It's ideal for competitive analysis, market research, and content creation.

When planning your next market entry or competitive analysis, access rich, structured data directly from Tripadvisor. This tool is designed to collect detailed information about various points of interest, whether you're focusing on a broad location or specific listings. ### How it Gathers Data You can initiate a scrape by providing a general location name (e.g., "Paris, France") or by supplying specific Tripadvisor URLs. If you search by location, the tool intelligently identifies the primary destination and proceeds to collect data on hotels, restaurants, and attractions within that area. For more targeted efforts, you can input direct URLs to individual hotels, restaurants, attractions, or even category pages with applied filters. This flexibility ensures you can get precisely the data you need, from broad market overviews to granular details on specific establishments. ### What Data You Get The output provides a wealth of information, covering all essential details for each place. For hotels, you'll receive names, addresses, ratings, the total number of reviews, pricing for specified check-in and check-out dates, available amenities, and even a summary of AI-generated review insights where available. Restaurant data includes names, addresses, ratings, cuisine types, dietary restrictions, and meal types, alongside contact information. Attractions provide names, descriptions, categories, and web URLs. All data points include the public web address, allowing for easy verification or deeper manual exploration. ### Customizing Your Data Extraction Tailor your data collection by choosing which types of places to include—hotels, restaurants, or attractions. You can also specify the maximum number of results per search query or URL, allowing for focused or extensive data pulls. For hotels, you can set specific check-in and check-out dates to retrieve relevant pricing information. The tool also supports multiple languages and currencies, ensuring the data is localized and relevant to your target markets. Optionally, you can include nearby results for hotels and restaurants, or extract review tags to understand common themes in customer feedback. Additionally, you can specify the number and source (everyone, management, or travelers) of photos to extract for each location.

Key Capabilities

  • Place name, address, and contact information (phone, email, website)
  • Category and subtype of the place (hotel, restaurant, attraction)
  • Overall rating and total number of reviews
  • Detailed review counts for each star rating (1 to 5)
  • Description of the place and local language details
  • Geographic coordinates (latitude, longitude)
  • Current pricing information for hotels based on specified dates
  • List of amenities (for hotels) or cuisines/dietary restrictions (for restaurants)
  • AI-generated review summaries for hotels (if available and enabled)
  • Review tags highlighting common themes in customer feedback
  • Links to additional photos, filtered by source
  • Information on nearby metro stations and neighborhood locations
  • Identify top-rated restaurants and emerging cuisine trends in new target markets for expansion.
  • Track hotel pricing fluctuations and availability for specific dates to inform competitive strategies or travel planning.
  • Analyze competitor amenities and customer sentiment from review tags to refine your own hospitality offerings.
  • Build comprehensive travel guides or curated itineraries by extracting details on attractions and things to do.
  • Monitor public opinion and review sentiment for your own properties or local businesses to manage reputation.
  • Conduct market research on tourism hotspots by aggregating data on popular categories and their performance.
  • Inform real estate investment decisions by understanding the density and quality of local amenities and attractions.

Field Dictionary

How To Run This Extractor

1

Start by providing either a location name (e.g., 'London, UK') or specific Tripadvisor URLs for hotels, restaurants, or attractions.

2

Select the types of places you want to include in your results: hotels, restaurants, attractions, or any combination.

3

If you are interested in hotel pricing, specify your desired check-in and check-out dates.

4

Optionally, set a maximum number of results per search query or URL, and choose your preferred language and currency.

5

Run the tool to begin the data extraction process from Tripadvisor.

6

Once the run completes, download your structured data in JSON, CSV, or Excel format.

Frequently Asked Questions

Do I need any coding skills to use this tool?
No, this tool is designed for users without any coding knowledge. You interact with it through a user-friendly interface.
What export formats are available for the extracted data?
Is the extracted data compliant with Tripadvisor's terms?
Can I use this tool for client projects?
How fresh is the data I receive?
Can I get hotel room prices for specific future dates?
Are AI review summaries included in the output?
How does the 'deeper city search' work?
Can I filter photos by source?
Is it possible to scrape data in different languages and currencies?
What if I need to limit the number of results across multiple search queries?