Agoda Reviews Scraper

Extract detailed guest reviews from Agoda.com hotels, apartments, and other accommodations. Get ratings, review texts with original and translated versions separated, room types, stay duration, reviewer details, owner responses, and more — easily exportable to JSON, CSV, Excel, and HTML formats.

Features

• Scrape reviews from any Agoda.com accommodation (hotels, apartments, hostels, resorts)
• Original and translated text separated — 4 dedicated fields for multilingual analysis
• Sort reviews by most recent, highest rating, or lowest rating
• Filter reviews by date — only get reviews after a specific date
• Filter reviews by rating category (Exceptional, Excellent, Very Good, Good, Below Expectation)
• Filter reviews by language (ISO language codes)
• Include or exclude hotel owner/management responses
• Support multiple hotels in a single run
• Accept both hotel URLs and property IDs as input
• Built-in proxy rotation with automatic block detection and cooldown
• Export to JSON, CSV, Excel, or API

What data do you get?

Each review contains up to 27 fields:

Field	Description
hotelReviewId	Unique review ID
hotelId	Agoda property ID
providerId	Review source (332 = Agoda aggregated, 3038 = Agoda direct)
rating	Numeric rating (0–10)
ratingText	Rating label (e.g. "Excellent", "Very Good")
reviewDate	Review submission date (ISO 8601)
checkInDate	Guest check-in date
checkOutDate	Guest check-out date
reviewTitle	Review title (original language preferred)
reviewComments	Review body (original language preferred)
originalTitle	Title in original language (before translation)
originalComment	Comment in original language (before translation)
translatedTitle	Translated title (if the review was translated)
translatedComment	Translated comment (if the review was translated)
reviewPositives	Positive aspects mentioned by guest
reviewNegatives	Negative aspects mentioned by guest
translateSource	Original language code (e.g. ko, ja, zh)
reviewerName	Reviewer display name
reviewerCountryName	Reviewer's country
reviewerCountryId	Reviewer's country code (numeric)
reviewerGroupName	Traveler type (Solo, Couple, Family, Business, Group)
reviewerRoomTypeName	Room type booked
reviewerLengthOfStay	Number of nights stayed
responseDate	Hotel management response date
responderName	Responder name (e.g. "Hotel Management")
responseText	Hotel management response text

Input

Field	Type	Description	Default
hotelUrl	string	Single Agoda hotel URL	—
hotelUrls	string[]	Multiple Agoda hotel URLs	—
propertyIds	integer[]	Agoda property IDs directly	—
maxReviewsPerHotel	integer	Max reviews per hotel	100
sorting	string	Sort order (most_recent, highest_rating, lowest_rating)	most_recent
language	string[]	Language filter (ISO codes: en, ko, ja, etc.)	all
rating	string[]	Rating filter (exceptional, excellent, very_good, good, below_expectation)	all
reviewsStartDate	string	Only reviews after this date (YYYY-MM-DD)	—
includeOwnerResponse	boolean	Include hotel management responses	true
proxy	object	Proxy configuration	Apify Residential

Input example

{
    "hotelUrl": "https://www.agoda.com/lotte-hotel-seoul/hotel/seoul-kr.html",
    "maxReviewsPerHotel": 200,
    "sorting": "most_recent",
    "rating": ["exceptional", "excellent"],
    "reviewsStartDate": "2024-01-01",
    "includeOwnerResponse": true,
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Multi-hotel input example

{
    "hotelUrls": [
        "https://www.agoda.com/lotte-hotel-seoul/hotel/seoul-kr.html",
        "https://www.agoda.com/shilla-stay-gwanghwamun/hotel/seoul-kr.html"
    ],
    "maxReviewsPerHotel": 100,
    "reviewsStartDate": "2024-06-01"
}

Output example

{
    "hotelReviewId": 698366181,
    "hotelId": 73026,
    "providerId": 332,
    "rating": 9.2,
    "ratingText": "Exceptional",
    "reviewDate": "2024-08-15T06:30:00+07:00",
    "checkInDate": "2024-08-10T00:00:00+07:00",
    "checkOutDate": "2024-08-13T00:00:00+07:00",
    "reviewTitle": "서울에서의 완벽한 숙박",
    "reviewComments": "호텔이 정말 훌륭했습니다. 직원들이 매우 친절하고 객실이 깨끗했습니다.",
    "originalTitle": "서울에서의 완벽한 숙박",
    "originalComment": "호텔이 정말 훌륭했습니다. 직원들이 매우 친절하고 객실이 깨끗했습니다.",
    "translatedTitle": "Perfect stay in Seoul",
    "translatedComment": "The hotel was absolutely wonderful. Staff were incredibly helpful and the room was spotless.",
    "reviewPositives": "Clean rooms, great location, friendly staff",
    "reviewNegatives": "Breakfast could have more variety",
    "translateSource": "ko",
    "reviewerName": "John D.",
    "reviewerCountryName": "United States",
    "reviewerCountryId": 223,
    "reviewerGroupName": "Couple",
    "reviewerRoomTypeName": "Deluxe Double Room",
    "reviewerLengthOfStay": 3,
    "responseDate": "2024-08-18T10:00:00+07:00",
    "responderName": "Hotel Management",
    "responseText": "Thank you for choosing Lotte Hotel Seoul! We are delighted to hear you enjoyed your stay."
}

Use cases

• Market research — analyze guest satisfaction trends across hotels and regions
• Competitor monitoring — track hotel reputation and review volume over time
• Multilingual sentiment analysis — process reviews with original text preserved (not just translations)
• Business intelligence — aggregate reviews into dashboards and reports
• Academic research — study tourism trends and traveler behavior with structured data
• Review monitoring — get only new reviews since your last run using date filtering

Tips

• Residential proxies are recommended for best reliability. The scraper handles proxy rotation automatically.
• Use reviewsStartDate to only collect recent reviews and avoid downloading thousands of old reviews.
• Agoda displays reviews from both Agoda and Booking.com sources, depending on availability.
• Use sorting to get the most relevant reviews first (newest, highest rated, or lowest rated).
• For large-scale scraping across many hotels, use the hotelUrls array or propertyIds.
• You can find the property ID in any Agoda hotel URL (the number before .html).

Notes

• Some hotels may have reviews in dozens of languages. Use the language filter to get only the languages you need.
• The rating filter uses client-side filtering — all reviews are fetched and then filtered by rating category. For better performance with large datasets, combine with maxReviewsPerHotel.
• Large hotels may have 10,000+ reviews — adjust maxReviewsPerHotel wisely to control costs and runtime.
• The scraper automatically detects blocks and rotates proxy sessions with exponential cooldown.

Legal notice

Always comply with Agoda's Terms of Service when using this scraper. Review data may contain personal information protected by GDPR and other privacy regulations. Use the data responsibly and only for legitimate purposes.