Pricing
from $0.85 / 1,000 reviews
Agoda Reviews Scraper
๐จ Scrape guest reviews from Agoda hotel listings โ 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
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๐ 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 ๐
Just enter one (or many) Agoda hotel URLs and click "Save & Start".
Great for:
- ๐งฌ Market research & trend analysis across two review pools at once
- ๐ Competitor monitoring (your hotel, or theirs)
- ๐ค Reviewer trust analysis - expert reviewers, review history, and vote counts
- ๐ค Feeding clean, structured review data into apps or ML pipelines
๐ 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.
๐ Why use this scraper?
- ๐ Fast: HTTP-first architecture, no browser automation
- ๐ Dual-source: Agoda + mirrored Booking.com reviews, one unified schema
- ๐ค 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
- ๐งน 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
- โฑ๏ธ 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
- ๐ธ 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
- โ๏ธ Typed output: schema-validated for consistency & integration ease
- ๐ Multi-format export: CSV, JSON, Excel, XML, etc.
โ๏ธ Input fields
urls(required) โ List of Agoda hotel URLsallowBookingReviews(optional, defaulttrue) โ Also include mirrored Booking.com reviews for the same listingmaxReviews(optional) โ Max number of reviews per hotel (unlimited by default)maxReviewsPerSource(optional) โ Max number of reviews per hotel and provider (unlimited by default)sorting(optional) โ Most helpful | Most recent | Score high-to-low | Score low-to-highcustomerType(optional) โ 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
๐ง 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"}
๐ค Who is it for?
- ๐ฌ Data scientists & analysts โ Sentiment analysis and trend tracking across two review sources
- ๐งฑ Researchers โ Monitor competitors or markets in bulk
- ๐ป Developers โ Integrate clean, deduplicated review data into your systems
- ๐ผ Business owners โ Keep an eye on guest feedback across both Agoda and Booking.com audiences
๐ฌ Support
Questions, edge cases, or feature requests? Open a support ticket or attach a failing run log - we'll take care of it.
