Agoda Reviews Scraper
Pricing
from $0.85 / 1,000 reviews
Agoda Reviews Scraper
π¨ Scrape guest reviews from Agoda hotel listings β plus mirrored Booking.com reviews from the same listing, normalized into one schema. Includes ratings, review text, room/stay details, and reviewer trust signals. Exportable as JSON, CSV, Excel, or HTML for structured analysis.
Pricing
from $0.85 / 1,000 reviews
Rating
0.0
(0)
Developer
Frederic
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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π Agoda Reviews Scraper
Extract guest reviews from any Agoda hotel listing - and the mirrored Booking.com reviews shown on the same page - normalized into one clean, pay-per-result dataset π
Just enter one (or many) Agoda hotel URLs and click "Save & Start".
Great for:
- 𧬠Market research & trend analysis across two review pools at once
- π Competitor monitoring (your hotel, or theirs)
- π€ Reviewer trust analysis - expert reviewers, review history, and vote counts
- π€ Feeding clean, structured review data into apps or ML pipelines
π What makes this different?
Most Agoda hotel pages quietly show reviews from two sources: Agoda's own guests, and a mirrored set of Booking.com reviews for the same property. This scraper pulls both - tagged with a provider field - so you get full review coverage from a single run instead of needing two separate scrapers.
π Why use this scraper?
- π Fast: HTTP-first architecture, no browser automation
- π Dual-source: Agoda + mirrored Booking.com reviews, one unified schema
- π€ Reviewer trust signals: expert reviewer flag, reviewer's total review count, and both helpful and unhelpful vote counts - most competing scrapers only expose one vote direction, if any
- π§Ή Strictly deduplicated: every review is tracked by ID per hotel, so re-runs or overlapping pages never produce duplicate rows - you only ever pay for unique reviews
- β±οΈ Smart pagination cutoff: Agoda's reviews start repeating themselves past a certain depth per hotel. We detect that point and stop automatically, so you're never billed for fetching the same reviews twice
- πΈ Datacenter-proxy friendly: built with careful cookie and session handling, so you don't need to pay for expensive residential proxies to get reliable results
- βοΈ Typed output: schema-validated for consistency & integration ease
- π Multi-format export: CSV, JSON, Excel, XML, etc.
βοΈ Input fields
urls(required) β List of Agoda hotel URLsallowBookingReviews(optional, defaulttrue) β Also include mirrored Booking.com reviews for the same listingmaxReviews(optional) β Max number of reviews per hotel (unlimited by default)maxReviewsPerSource(optional) β Max number of reviews per hotel and provider (unlimited by default)sorting(optional) β Most helpful | Most recent | Score high-to-low | Score low-to-highcustomerType(optional) β Filter by reviewer group: business, couples, solo, family, groups, etc.
When multiple limits are set, the one that's hit first takes precedence, e.g. in a situation where a hotel has 100 reviews from
Agoda and 400 from booking.com, the number of results is determined like this:
maxReviews=200- scrapes the first100reviews from Agoda, then the first100from booking.commaxReviewsPerSource=50- scrapes the first50reviews from Agoda, then the first50from booking.commaxReviews=80andmaxReviewsPerSource=50- scrapes the first50reviews from Agoda, then the first30from booking.com
π§ Output format
Each record is a single review, normalized across both providers:
{"reviewId": 123456789,"provider": "agoda","hotelId": 987654,"hotelName": "Wombat's The City Hostel Munich","hotelUrl": "https://www.agoda.com/wombat-s-the-city-hostel-munich-werksviertel/hotel/munich-de.html","rating": 8.6,"ratingLabel": "Excellent","title": "Great location and friendly staff","review": "Overall a really pleasant stay...","positiveText": "Staff were super helpful, clean rooms","negativeText": "Breakfast options were limited","date": "2025-02-23T17:50:44.000Z","checkInDate": "2025-02-20T00:00:00.000Z","checkOutDate": "2025-02-21T00:00:00.000Z","numNights": 1,"roomTypeName": "Standard Double Room","customerType": "solo","username": "Guest","countryName": "Poland","isExpertReviewer": true,"reviewerReviewedCount": 14,"helpfulVotes": 3,"unhelpfulVotes": 0,"scrapedAt": "2025-06-21T10:00:00.000Z"}
π€ Who is it for?
- π¬ Data scientists & analysts β Sentiment analysis and trend tracking across two review sources
- π§± Researchers β Monitor competitors or markets in bulk
- π» Developers β Integrate clean, deduplicated review data into your systems
- πΌ Business owners β Keep an eye on guest feedback across both Agoda and Booking.com audiences
π¬ Support
Questions, edge cases, or feature requests? Open a support ticket or attach a failing run log - we'll take care of it.