Test actor proxy

🌐 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

1{
2    "startUrls": [
3        "https://www.agoda.com/search?city=8801&locale=en-us&checkIn=2024-08-14&checkOut=2024-08-15&rooms=1"
4    ],
5    "location": "Hyderabad",
6    "checkin_date": "2024-09-06",
7    "checkout_date": "2024-09-07",
8    "adults": 2,
9    "children": 0,
10    "rooms": 1,
11    "max_results": 100
12}

📊 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.