🌐 Hotels Com Search Page Scraper

The Hotels Com Search Page Scraper is designed to extract hotel listings, including prices, ratings, and other essential data points from Hotels.com search results. This scraper is ideal for travelers, market researchers, and anyone looking to quickly gather data on available hotels based on location (keywords), check-in/check-out dates, and desired maximum results.

🚀 Features

• Comprehensive Data Extraction: Collects essential hotel information such as name, price, rating, review summary, amenities, and images.
• Flexible Location Search: Search hotels in one or more locations by providing an array of keywords.
• Date Range: Specify check-in and check-out dates to focus on relevant availability.
• Result Limit: Control how many hotel listings to scrape with a maximum results parameter.
• Proxy Support: Integrates proxy configuration for reliable and scalable scraping.

🔍 Scraped Data

Each hotel listing in the output will include (but is not limited to) the following data:

• Name: Name of the hotel.
• Price: The quoted price (may include currency symbols).
• Rating: Numerical rating (e.g., 8.8) indicating overall quality.
• Reviews: Textual count of reviews (e.g., “1,781 reviews”).
• Review Text: Short descriptive rating text (e.g., “Excellent”).
• Description: A brief summary or description of the property.
• Amenities: An array of available amenities (if provided).
• Link: A direct URL link to the hotel’s page on Hotels.com.
• Images: An array of image URLs for the hotel.

📋 Input Parameters

Below is a table describing the primary input fields for the Hotels Com Search Page Scraper. These parameters should be provided in JSON format.

Field	Description
checkin_date	Check-in date in YYYY-MM-DD format
checkout_date	Check-out date in YYYY-MM-DD format
keywords	An array of location strings to search
max_results	The maximum number of hotel results to scrape
proxyConfiguration	Proxy settings (e.g., useApifyProxy, apifyProxyGroups, etc.)

Note: The scraper can accept additional parameters for more advanced configurations, but these are the primary fields needed to perform a basic search.

📊 Output Format

The scraper returns an array of hotel objects. Each object has the following structure:

Field	Description
name	The hotel’s name
price	Price information as displayed on the site
rating	Numeric rating (e.g., 8.8, 9.2)
reviews	A text field showing the total number of reviews (e.g., "1,781 reviews")
review_text	Short descriptive text of the rating (e.g., "Excellent", "Good")
description	A short description or additional info about the hotel
amenities	A list of hotel amenities (if available)
link	Direct URL link to the hotel on Hotels.com
images	A list of image URLs for the property

Example Output Structure

1[
2  {
3    "name": "Sunrise Hotel Chicago",
4    "price": "$150",
5    "rating": "9.0",
6    "reviews": "2,000 reviews",
7    "review_text": "Wonderful",
8    "description": "Located in the heart of the city, offering modern amenities and easy access to major attractions.",
9    "amenities": ["Free WiFi", "Pool", "Fitness Center"],
10    "link": "https://example-hotels.com/hotel/sunrise-chicago",
11    "images": [
12      "https://example-hotels.com/images/sunrise-chicago1.jpg",
13      "https://example-hotels.com/images/sunrise-chicago2.jpg"
14    ]
15  },
16  {
17    "name": "Lakeside Inn Downtown",
18    "price": "$120",
19    "rating": "8.2",
20    "reviews": "1,350 reviews",
21    "review_text": "Very good",
22    "description": "A comfy lakeside property perfect for business and leisure travelers.",
23    "amenities": ["Spa", "Restaurant"],
24    "link": "https://example-hotels.com/hotel/lakeside-inn",
25    "images": [
26      "https://example-hotels.com/images/lakeside1.jpg",
27      "https://example-hotels.com/images/lakeside2.jpg"
28    ]
29  }
30]

⚡ Performance

• Speed: Efficiently retrieves multiple listings in a single run.
• Scalability: Able to handle multiple pages based on max_results to provide comprehensive hotel data.
• Reliability: Proxy support ensures minimal blocking and higher success rates.

🛠️ Customizable Scraping Options

• Date Range: Define checkin_date and checkout_date for targeted availability searches.
• Location Keywords: Provide one or multiple locations in the keywords array.
• Result Limit: Control the number of listings scraped with max_results.
• Proxy Configuration: Use Apify Proxy or custom proxy settings to optimize and anonymize requests.

📊 Use Cases

• Travel Planning: Quickly compare hotel options for a trip to determine the best location, price, and rating.
• Market Research: Gather hotel data across multiple cities to analyze trends, pricing, and guest feedback.
• Competitive Analysis: Monitor rates, amenities, and ratings of competitor properties.
• Real Estate or Investment: Evaluate location-based hotel performance for potential acquisitions or partnerships.

🆘 Support

For any issues, questions, or suggestions regarding the Hotels Com Search Page Scraper, please open an issue on the scraper’s repository or contact our support team. We’re here to help!