Fast Agoda Hotel Scraper

Extract comprehensive hotel data from Agoda.com — 22+ fields per hotel, including prices, reviews, facilities, policies, and nearby attractions.

Agoda is a leading global travel platform and part of Booking Holdings (parent company of Booking.com, Priceline, and Kayak), making it one of the largest sources for real-time accommodation data worldwide. This scraper acts as a powerful Agoda API alternative for developers, analysts, and businesses.

Features

• 🔍 Search hotels by destination keyword
• 📅 Filter by check-in and check-out dates
• 🛏️ Specify rooms, adults, and children
• 💲 Sort by price, review score, or distance
• ⭐ Filter by minimum/maximum review score
• 🌐 14 languages and 10+ currencies
• 🔗 Scrape specific hotels by direct URL
• 📊 Export clean, structured data (JSON, CSV, Excel, API)

Input parameters

Field	Type	Description	Default
search	string	Destination name (e.g. "Seoul", "New York", "Paris")	—
hotelUrls	string[]	Direct Agoda hotel URLs to scrape	—
sortBy	string	Sort order: recommended, price_low_to_high, price_high_to_low, review_high_to_low, review_low_to_high, distance	recommended
checkIn	string	Check-in date (YYYY-MM-DD)	tomorrow
checkOut	string	Check-out date (YYYY-MM-DD)	day after check-in
rooms	integer	Number of rooms	1
adults	integer	Number of adults	2
children	integer	Number of children	0
minReviewScore	integer	Minimum review score filter (0–10)	0
maxReviewScore	integer	Maximum review score filter (0–10)	10
maxItems	integer	Maximum hotels to scrape (1–1000)	100
language	string	Language code (en, ko, ja, zh-cn, fr, de, etc.)	en
currency	string	Currency code (USD, EUR, KRW, JPY, etc.)	USD
proxy	object	Proxy configuration (residential recommended)	Apify residential

Provide either search or hotelUrls (or both).

Example input

{
    "search": "Paris",
    "sortBy": "price_low_to_high",
    "checkIn": "2025-12-20",
    "checkOut": "2025-12-25",
    "rooms": 1,
    "adults": 2,
    "children": 0,
    "minReviewScore": 8,
    "maxItems": 50,
    "language": "en",
    "currency": "USD",
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Output dataset

Each result contains 22+ fields of structured hotel data:

Field	Type	Description
propertyId	number	Unique Agoda property ID
name	string	Hotel / property name
url	string	Direct Agoda URL
image	string	Main hotel image URL
propertyType	string	Type (Hotel, Apartment, Resort, etc.)
starRating	number	Star rating (1–5)
address	object	Full address (street, city, area, country, postalCode)
location	object	GPS coordinates (latitude, longitude)
overview	string	Hotel description (clean text)
reviewScore	number	Overall review score (0–10)
reviewScoreText	string	Score label (e.g. "Excellent")
reviewCount	number	Total number of reviews
reviewCategoryScores	object	Per-category scores (Cleanliness, Location, Service, Value, Facilities)
pricePerRoomPerNight	number	Price per night
pricePerBook	number	Total booking price
priceCurrency	string	Currency code (e.g. "USD")
usefulInfo	object	Check-in/out times, year opened, room count
facilities	array	Categorized facility list (Wi-Fi, Pool, Parking, etc.)
importantNotes	array	Important hotel notices
placesOfInterest	array	Nearby attractions with distances
hotelPolicy	object	Child and extra bed policies
guestPolicies	object	Guest policies (minimum age, infant/children rules)
otherPolicies	array	Additional policies

Example output

{
    "propertyId": 73026,
    "name": "Lotte Hotel Seoul",
    "url": "https://www.agoda.com/lotte-hotel-seoul/hotel/seoul-kr.html",
    "image": "https://pix8.agoda.net/hotelImages/73026/-1/example.jpg",
    "propertyType": "Hotel",
    "starRating": 5,
    "address": {
        "full": "30, Eulji-ro, Jung-gu, Seoul, South Korea, 04533",
        "street": "30, Eulji-ro, Jung-gu",
        "city": "Seoul",
        "area": "Myeongdong",
        "country": "South Korea",
        "postalCode": "04533"
    },
    "location": {
        "latitude": 37.5656,
        "longitude": 126.9816
    },
    "overview": "Lotte Hotel Seoul is a luxury hotel located in the heart of Seoul...",
    "reviewScore": 8.7,
    "reviewScoreText": "Excellent",
    "reviewCount": 12453,
    "reviewCategoryScores": {
        "cleanliness": { "name": "Cleanliness", "score": 9.1 },
        "facilities": { "name": "Facilities", "score": 8.8 },
        "location": { "name": "Location", "score": 9.3 },
        "service": { "name": "Service", "score": 8.9 },
        "valueForMoney": { "name": "Value for money", "score": 8.2 }
    },
    "pricePerRoomPerNight": 245.50,
    "pricePerBook": 1227.50,
    "priceCurrency": "USD",
    "usefulInfo": {
        "General": [
            { "label": "Check-in", "value": "From 15:00" },
            { "label": "Check-out", "value": "Until 11:00" },
            { "label": "Number of rooms", "value": "1015" }
        ]
    },
    "facilities": [
        {
            "category": "Internet",
            "features": ["Free Wi-Fi in all rooms", "Wi-Fi in public areas"]
        },
        {
            "category": "Things to do",
            "features": ["Fitness center", "Sauna", "Swimming pool"]
        }
    ],
    "placesOfInterest": [
        { "section": "Nearby landmarks", "name": "Myeongdong Cathedral", "distance": "0.2 km" },
        { "section": "Airports", "name": "Incheon International Airport", "distance": "52.1 km" }
    ],
    "hotelPolicy": {
        "childPolicies": [],
        "extrabedPolicies": [],
        "policyNotes": []
    },
    "guestPolicies": {
        "extraBedPolicy": "",
        "minimumAgeOfGuest": "18",
        "infantPolicy": {},
        "childrenPolicy": {}
    },
    "importantNotes": [],
    "otherPolicies": []
}

Use cases

• Travel agencies & apps — power booking platforms with rich, structured hotel data
• Price monitoring — track hotel pricing across destinations and dates
• Competitor analysis — compare hotel ratings, facilities, and pricing
• Market research — analyze accommodation trends, review scores, and pricing patterns
• SEO & content marketing — generate data-driven travel content and blog posts
• Data science — build hotel recommendation models with comprehensive feature sets

This scraper serves as a powerful Agoda API alternative, providing real-time hotel datasets, review data, pricing intelligence, and detailed property information — all without needing direct API access.

How to run

1. Go to Fast Agoda Hotel Scraper on Apify
2. Click Try Actor
3. Provide your input (destination, dates, filters)
4. Run the scraper
5. Download results in JSON, CSV, Excel, or via API

Integrations

Connect this scraper to hundreds of other tools using Apify integrations:

• Google Sheets — automatically export data to spreadsheets
• Slack / Discord — get notifications when scraping completes
• Zapier / Make — build automated workflows
• Webhooks — trigger custom actions with scraped data
• API — access data programmatically

Related scrapers

• Fast Agoda Reviews Scraper — extract individual guest reviews with ratings and text

FAQ

Can I use this as an Agoda API alternative?

Yes. This tool provides structured Agoda data (hotels, prices, reviews, ratings, facilities, policies) without needing direct API access. It's commonly used as an Agoda API alternative by developers, analysts, and travel businesses.

What Agoda data can I extract?

You can scrape hotel names, property types, images, GPS coordinates, star ratings, review counts, per-category review scores, pricing details, facilities, policies, nearby attractions, and hotel descriptions — 22+ fields total. For individual guest reviews, use the Fast Agoda Reviews Scraper.

What are the common use cases?

• Market research and competitor analysis
• Price monitoring for travel apps and platforms
• Building SEO-optimized travel content
• Data science projects and hotel recommendation models
• Accommodation dataset collection

How often is Agoda data updated?

Agoda updates hotel prices, availability, and reviews frequently. Running the scraper regularly ensures you always have the most up-to-date datasets.

Does it support multiple languages?

Yes. This scraper supports 14 languages: English, Korean, Japanese, Chinese (Simplified & Traditional), Thai, Vietnamese, French, German, Spanish, Italian, Portuguese, Russian, and Arabic.

Can I scrape specific hotels?

Yes. You can provide direct Agoda hotel URLs via the hotelUrls input field to scrape specific properties without searching.

Legal notice

Web scraping of publicly available data is generally legal. However, personal data is protected by GDPR in the European Union and by other regulations worldwide. Do not scrape personal data unless you have a legitimate reason to do so. Always comply with Agoda's Terms of Service.

We recommend reading Is web scraping legal? for more information.