Fast Agoda Scraper Easily extract hotel and accommodation data from Agoda.com with this Apify scraper. Collect detailed information about properties, prices, reviews, ratings, and more in a structured format. Agoda is a leading global travel platform and part of Booking Holdings (the parent company of Booking.com, Priceline, and Kayak), making it one of the largest sources for real-time accommodation data worldwide. This scraper is designed to help you gather hotel datasets for travel research, competitor analysis, pricing comparison, or building travel-related applications. Whether you need an Agoda scraper, an Agoda API alternative, or simply structured hotel data extraction, this tool provides clean and reliable results. --- ## Features - 🔍 Search hotels by destination - 📅 Filter by check-in and check-out dates - 🛏️ Specify rooms, adults, and children - ⭐ Filter results by review score - 💲 Sort results by price, rating, or recommendations - 📊 Export clean, structured hotel data (JSON, CSV, Excel, API) --- ## Input Parameters The scraper uses the following input parameters: | Field | Type | Description | |-------------------|----------|-----------------------------------------------------------------------------| | search | string | Destination name (e.g., "New York") (required) | | sortBy | string | Sort order: recommended, price_low_to_high, price_high_to_low, review_low_to_high, review_high_to_low | | checkIn | string | Check-in date in YYYY-MM-DD format (UTC timezone) | | checkOut | string | Check-out date in YYYY-MM-DD format (UTC timezone) | | rooms | integer | Number of rooms (default: 1) | | adults | integer | Number of adults (default: 2) | | children | integer | Number of children (default: 0) | | minReviewScore | integer | Minimum review score (0–10, default: 0) | | maxReviewScore | integer | Maximum review score (0–10, default: 10) | | maxItems | integer | Maximum number of results per destination or URL | 📌 Example input: json { "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 } --- ## Output Dataset Each dataset entry represents one Agoda property and may contain the following fields: | Field | Type | Description | |---------------------------|---------|--------------------------------------------| | propertyId | number | Unique property ID | | name | string | Hotel or property name | | url | string | Direct Agoda URL | | propertyType | string | Type of property (hotel, apartment, etc.) | | image | string | Main image URL | | address | object | Address details (country, city, area) | | location | object | Location coordinates (latitude, longitude) | | rating | number | Star rating | | reviewCount | number | Number of reviews | | reviewScore | number | Average review score | | pricePerRoomPerNight | number | Price per night | | pricePerBook | number | Total booking price | | priceCurrency | string | Currency code (e.g., USD, EUR) | 📌 Example output: json { "propertyId": 21727126, "name": "Marriott New York JFK Airport", "url": "https://agoda.com/marriott-new-york-jfk-airport/hotel/new-york-ny-us.html", "propertyType": "Hotel", "image": "https://pix8.agoda.net/hotelImages/21727126/-1/fee6a5b6229c6e55d982fdb2491ac147.jpg?ce=0", "address": { "country": "United States", "city": "New York (NY)", "area": "John F. Kennedy International Airport" }, "location": { "latitude": 40.667572021484375, "longitude": -73.79682922363281 }, "rating": 3.5, "reviewCount": 1342, "reviewScore": 8.5, "pricePerRoomPerNight": 425.78, "pricePerBook": 425.78, "priceCurrency": "USD" } --- ## Use Cases - 🏨 Travel agencies & apps – fetch fresh hotel data to power booking platforms - 💹 Competitor analysis – monitor hotel availability and prices across locations - 📈 Market research – analyze hotel ratings, reviews, and pricing trends - 📊 SEO & content marketing – generate high-quality accommodation datasets for travel blogs and websites This Agoda data scraper can serve as an Agoda API alternative, especially for projects needing real-time hotel datasets, reviews data, and pricing intelligence. --- ## How to Run 1. Go to the Fast Agoda 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 --- ## Related Scrapers - Fast Agoda Reviews Scraper – scrape Agoda user reviews quickly and efficiently --- ## Legal Notice Is it legal to scrape listings on Agoda.com? Yes. However, you should note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our blog post: is web scraping legal? --- ## FAQ ### ❓ Can I use this Agoda scraper as an alternative to the Agoda API? Yes. This tool provides structured Agoda data (hotels, reviews, ratings, prices) without needing direct API access. It's often used as an Agoda API alternative by developers and analysts. ### ❓ What type of Agoda data can I extract? You can scrape hotel names, property types, images, locations, ratings, review counts, review scores, and pricing details. If you also need Agoda reviews data, you can use the Fast Agoda Reviews Scraper. ### ❓ What are common use cases for Agoda data extraction? - Market research and competitor analysis - Price monitoring and travel apps - Building SEO-optimized travel content - Collecting accommodation datasets for data-driven projects ### ❓ 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 Agoda datasets.