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Fast TripAdvisor Reviews Scraper API | Hotel, Restaurant Review — TripAdvisor | Lagic

Built For

Extract all customer reviews for any hotel, restaurant, or attraction on TripAdvisor.

Curated by Lagic·Verified working

Configure Agent

URLs you want to retrieve the reviews from. Only TripAdvisor detail URLs are accepted.

Get reviews made since the date.

Start page to get reviews from.

Select the review languages.

Select the review ratings.

Maximum number of items that you want as output.

Function that takes each of the objects as argument and returns data that will be mapped by the function itself. This function is not intended for filtering, please don't use it for filtering purposes or you will get banned automatically.

Results to deliver

100 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

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

Sample Data Preview

Full review text and titleStar rating (1-5)Date the review was published and date of the stay/visitNumber of 'helpful' votes the review receivedReview languageDetails on the trip, including stay date and trip type (e.g., family, couples, solo)
Sample Text...Value...2026-04-05665Value...2026-04-05
Sample Text...Value...2026-04-05557Value...2026-04-05
..................
Exports as:CSVXLSXJSON

Overview

Get detailed feedback, ratings, and user information for any TripAdvisor listing. Use this data for competitor analysis, reputation management, or market research in the hospitality industry.

This tool systematically extracts customer reviews from any TripAdvisor listing page. It's designed for hotel managers, restaurant owners, marketing agencies, and data analysts who need to understand customer sentiment at scale. Simply provide the URL of a TripAdvisor page, and the tool will gather all available reviews. You can filter reviews by date, language, and star rating to focus on the most relevant feedback. For instance, you could choose to see only 1-star reviews written in English since last month. The output includes the full review text, title, and overall rating. You also get valuable context, such as the date of the visit, the type of trip (e.g., couple, family, business), and details about the reviewer, including their username, hometown, and total number of contributions. If the business owner has replied to a review, that response is also captured. This structured data is ideal for spotting trends, identifying areas for service improvement, and tracking brand perception over time.

Key Capabilities

  • ✓ Full review text and title
  • ✓ Star rating (1-5)
  • ✓ Date the review was published and date of the stay/visit
  • ✓ Number of 'helpful' votes the review received
  • ✓ Review language
  • ✓ Details on the trip, including stay date and trip type (e.g., family, couples, solo)
  • ✓ Reviewer's username, display name, user ID, and hometown
  • ✓ Reviewer's total contribution count
  • ✓ Any photos attached to the review
  • ✓ The complete owner's response, if one exists
  • ✓ Competitor Analysis: A boutique hotel chain extracts all reviews from its top five local competitors to identify common complaints and service gaps they can exploit in their marketing.
  • ✓ Reputation Management: A restaurant owner schedules daily runs to monitor new reviews, allowing them to respond quickly to negative feedback and reinforce positive comments.
  • ✓ Service Improvement: An airline analyzes reviews for its business class cabin, filtering for 2 and 3-star ratings to pinpoint specific aspects of the experience that need improvement.
  • ✓ Market Research: A data analyst aggregates thousands of reviews for attractions in a specific city to build a sentiment analysis model for the local tourism board.
  • ✓ Client Reporting: A marketing agency provides a monthly report to its hotel clients, summarizing review trends, sentiment scores, and direct quotes from recent guests.
  • ✓ Product Development: A tour operator scrapes reviews for similar tours in their region to understand what activities and features customers value most, informing the design of new tour packages.

Field Dictionary

How To Run This Extractor

1

Find the hotel, restaurant, or attraction on TripAdvisor and copy its URL.

2

Paste one or more URLs into the 'Start URLs' field.

3

Optionally, filter by review date, language, or star rating.

4

Set the maximum number of reviews you want to retrieve.

5

Run the tool and wait for the data to be collected.

6

Download the complete dataset as a CSV, JSON, or Excel file.

Frequently Asked Questions

Do I need to be a developer to use this?
No. You just need the TripAdvisor URL for the listing you want to track. You can paste the URL, select your options, and run the tool.
What format can I export the data in?
Is it legal to scrape TripAdvisor reviews?
How many reviews can I extract at once?
Can I filter reviews by star rating?
Can I get only recent reviews?
Is this suitable for client work at my agency?
How fresh is the data?
Can I schedule this to run automatically?
How much will this cost to run?