[TEST] Platform Usage

🌐 Agoda Data Scraper The Agoda Data Scraper is designed to extract detailed hotel listings, including prices, ratings, reviews, and other key data points from Agoda. This scraper is ideal for travelers, market researchers, and anyone looking to analyze Agoda hotel listings based on location, check-in/check-out dates, and guest preferences. ## 🚀 Features - Comprehensive Data Extraction:: Extracts detailed hotel information such as names, prices, reviews, amenities, and more. - Customizable Search:: Allows you to search hotels based on location, check-in/out dates, and the number of guests (adults, children). - Scalability:: Scrape maximum listings at once. - Pagination Support:: Automatically handles pagination to scrape multiple pages of listings. ## 🔍 Scraped Data The scraper extracts a wide range of data points from Agoda listings, including: - Hotel Name: Name of the hotel. - Price: Price of the room per night. - Location: City/Area where the hotel is located. - Ratings and Reviews: Ratings, number of reviews, and detailed reviews of the hotel. - Images: URLs of images associated with the hotel. - Amenities: Facilities and amenities provided by the hotel. - Rooms: Information about available rooms, including room types, prices, and amenities. - Nearby Landmarks: Popular landmarks near the hotel. ## 📋 Input Parameters Field | Description | Example Input ---------------|-------------------------------------------------------------------|--------------- startUrls | Array of Agoda URLs to scrape hotel data from | ["https://www.agoda.com/search?city=8801&locale=en-us&checkIn=2024-08-14&checkOut=2024-08-15&rooms=1"] location | Specify the city or area for the Agoda search | "Hyderabad" checkin_date | Specify the check-in date (YYYY-MM-DD) | "2024-09-06" checkout_date | Specify the check-out date (YYYY-MM-DD) | "2024-09-07" adults | Number of adults | 2 children | Number of children | 0 rooms | Number of rooms required | 1 max_results | Maximum number of Agoda listings to scrape | 100 ## Sample Input json { "startUrls": [ "https://www.agoda.com/search?city=8801&locale=en-us&checkIn=2024-08-14&checkOut=2024-08-15&rooms=1" ], "location": "Hyderabad", "checkin_date": "2024-09-06", "checkout_date": "2024-09-07", "adults": 2, "children": 0, "rooms": 1, "max_results": 100 } ## 📊 Output Format Field | Description ------------------------|---------------------------------------------------- hotel_name | Name of the hotel price | Price of the room per night location | City/Area of the hotel ratings | Overall rating of the hotel review_count | Total number of reviews for the hotel rating_score | Rating score of the hotel rating_description | Description of the rating (e.g., "Excellent", "Good") images | URLs of images related to the hotel amenities | Facilities and amenities provided by the hotel detailed_page_link | Link to the hotel's detailed page on Agoda rooms | Information about available rooms, including room type and price popular_landmarks | Popular landmarks near the hotel property_description | Short description of the hotel address | Address of the hotel discount_availability | Discount percentage, if available reviews | Individual reviews from previous guests ## Example Output hotel_name | price | location | ratings | review_count | images_link | amenities | address ------------------------|---------|--------------|---------|--------------|---------------------------------|--------------------|--------- Hyatt Regency | $150 | Hyderabad | 4.5 | 500 | https://example.com/image1.jpg | Free Wi-Fi, Parking | 123 Main St, Hyderabad Taj Deccan | $200 | Hyderabad | 4.7 | 800 | https://example.com/image2.jpg | Free Breakfast, Pool | 456 Hill St, Hyderabad ## ⚡ Performance - Speed:: Scrapes up to 100 hotel listings in a few minutes, with support for up to 20,000 listings. - Efficiency:: Extracts detailed hotel information, including room prices, reviews, and amenities. - Accuracy:: Ensures all relevant details are captured, providing a comprehensive dataset. ## 🛠️ Customizable Scraping Options - Location:: Input specific cities or areas for targeted searches. - Check-in/Check-out Dates:: Specify the date range to find available hotels. - Guest Count:: Customize the number of adults, children, and rooms required. - Pagination:: Automatically handles pagination to scrape all available listings. ## 📊 Use Cases - Travel Planning:: Compare and analyze hotel listings for your trip based on price, location, and amenities. - Market Research:: Gather data for market research on hotel availability, pricing, and customer reviews. - Competitor Analysis:: Analyze competitors' hotel offerings in specific regions. Investment Analysis: Evaluate hotel properties for potential investment opportunities. ## 🆘 Support If you encounter any issues or need assistance with the Agoda Data Scraper, feel free to reach out via the Issues tab on the actor's page. Our support team is here to assist with any concerns or questions you may have.