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Fast Agoda Reviews Scraper — Agoda | Lagic

Built ForHospitality & Hotel ManagementMarket Research & ConsultingTravel & Tourism Tech

Extract detailed hotel reviews from any Agoda listing for market research and sentiment analysis.

Curated by Lagic·Verified working

Configure Agent

URL of hotel to scrape reviews from.

Filter reviews by rating. Optional. If not set, reviews of all ratings will be scraped.

Filter reviews by a specific language. Optional. If not set, reviews from all languages will be scraped.

Scraper will return reviews newer than this date if it is provided.

Maximum number of reviews to scrape per hotel.

Results to deliver

500 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

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

Sample Data Preview

Star rating (1-10)Full review text, including separate positive and negative commentsReview title and date postedReviewer's name, country, and traveler type (e.g., 'Couple', 'Solo traveler')The room type the reviewer stayed inGuest's length of stay and check-in/check-out dates
Value...Value...Sample Text...Sample Text...Value...2026-04-05
Value...Value...Sample Text...Sample Text...Value...2026-04-05
..................
Exports as:CSVXLSXJSON

Overview

Scrape thousands of hotel reviews from Agoda, including ratings, detailed comments, reviewer country, and room type. Use this data to analyze competitor sentiment or monitor your own hotel's online reputation.

Manually sifting through hundreds of hotel reviews on Agoda is time-consuming and makes it difficult to spot trends. This tool automates the entire process, pulling structured data from any Agoda hotel page you provide. It's designed for hotel managers, hospitality consultants, market research firms, and travel tech companies who need a reliable source of customer feedback. The extracted data allows you to perform quantitative analysis on qualitative feedback. You can pinpoint common complaints by analyzing negative review text, identify what guests love by filtering for high ratings, and understand your guest demographics by looking at the reviewer's country and traveler type (e.g., family, couple, solo). ### Fine-tune Your Data Collection You aren't limited to just pulling all reviews. The tool allows for precise targeting. You can filter reviews by the star rating, the language they were written in, or even set a cutoff date to only get the most recent feedback. This is perfect for tracking the impact of a recent renovation or a new service initiative.

Key Capabilities

  • ✓ Star rating (1-10)
  • ✓ Full review text, including separate positive and negative comments
  • ✓ Review title and date posted
  • ✓ Reviewer's name, country, and traveler type (e.g., 'Couple', 'Solo traveler')
  • ✓ The room type the reviewer stayed in
  • ✓ Guest's length of stay and check-in/check-out dates
  • ✓ The hotel's official response text, name of the responder, and date of response
  • ✓ A hotel general manager could scrape their own property's reviews weekly to identify and address recurring operational issues mentioned in negative comments.
  • ✓ A market research firm could compare guest sentiment across a dozen competing hotels in a specific city to create a competitive landscape report.
  • ✓ A hospitality investment group could analyze review trends over the past year to gauge a hotel's performance as part of its due diligence process.
  • ✓ A travel agency can identify hotels with consistently high ratings from specific traveler types, like 'families with young children', to refine their recommendations.
  • ✓ A marketing team can extract positive review titles and comments to use as testimonials in promotional materials.
  • ✓ A data scientist can build a sentiment analysis model trained specifically on hospitality industry language using thousands of scraped reviews as a dataset.

Field Dictionary

How To Run This Extractor

1

Find the hotel you want to analyze on Agoda.com.

2

Copy the URL from your browser's address bar.

3

Paste the URL into the 'Hotel URL' field.

4

Optionally, filter by rating, review language, or a cutoff date.

5

Set the maximum number of reviews you want to extract.

6

Run the tool and download your data in CSV, JSON, or Excel format.

Frequently Asked Questions

Do I need to be a developer to use this?
No, you don't need any coding skills. All you need is the Agoda hotel URL.
What format does the data come in?
Is it legal to scrape reviews from Agoda?
How many reviews can I scrape at once?
Can I use this for client work?
How is this different from just reading the reviews on the site?
How reliable is the data?
Can I schedule this to run automatically?
Can I get reviews in a specific language, like German?
Is it possible to only get reviews from the last month?
Does the data include the hotel's reply to the review?
How much does it cost?