Google Hotels Scraper – Precision Hotel Data Extraction

The Google Hotels Scraper is your ultimate solution for gathering real-time hotel data from Google Travel. Whether you're looking for pricing, hotel reviews, ratings, or availability, this tool scrapes detailed information that empowers travel planning, business analytics, and market research. Engineered with a clean and intuitive interface, the scraper allows you to effortlessly gather hotel data for any city or location, tailored to your needs.

With enhanced SEO-friendly descriptions, a modernized input-output format, and adaptive features, this scraper is designed to be highly functional, reliable, and optimized for today’s data-driven world.

---

🚀 Why Use This Hotel Scraper?

• Real-Time Insights: Get live hotel data, including the latest prices, availability, and ratings, straight from Google Hotels.
• Customizable: Choose specific locations, date ranges, guest counts, and currency preferences, allowing for full customization of your searches.
• Tailored for Performance: With flexible options for the number of results and providers, you have full control over the data output.
• Efficient Market Research: Analyze trends, compare hotel prices across providers, or integrate the data into your own travel-related website or application.

---

🏨 How It Works

Input Configuration

The input fields of this scraper are designed to be user-friendly, yet highly customizable. You can easily modify the search parameters to get results tailored to your specific needs.

Parameter	Type	Description
location	string	Name of the city or region (e.g., "Tokyo", "Paris").
checkInDate	date	Check-in date in the format YYYY-MM-DD.
checkOutDate	date	Check-out date in the format YYYY-MM-DD.
adults	integer	Number of adult guests.
children	integer	Number of child guests (0 if none).
currency	string	Currency for price display (e.g., "USD", "EUR", "GBP").
maxResults	integer	Maximum number of hotel results to return (e.g., 100).

Example Input:

1{
2  "location": "London",
3  "checkInDate": "2024-11-10",
4  "checkOutDate": "2024-11-15",
5  "adults": 2,
6  "children": 1,
7  "currency": "GBP",
8  "maxResults": 20
9}

This example configures the scraper to return up to 20 hotel results in London, displaying prices in British pounds for a stay from November 10th to November 15th, 2024, for two adults and one child.

---

📊 Detailed Output

The output is structured for simplicity and completeness, allowing you to easily extract and use the data in your application, research, or report.

Field	Type	Description
hotelName	string	Full name of the hotel.
hotelUrl	string	Direct link to the hotel booking page.
address	string	The complete postal address of the hotel.
phoneNumber	string	Contact phone number of the hotel.
photos	array	URLs of hotel images and photos.
rating	float	Customer rating (e.g., 4.5 out of 5).
reviewsCount	integer	Total number of reviews available for the hotel.
priceRange	string	Price range from various providers (e.g., "£150 - £200").
providerPrices	array	List of providers with their respective prices and booking URLs.

Example Output:

1{
2  "hotelName": "The Ritz London",
3  "hotelUrl": "https://www.ritzlondon.com/",
4  "address": "150 Piccadilly, St. James's, London W1J 9BR, United Kingdom",
5  "phoneNumber": "+44 20 7493 8181",
6  "photos": [
7    "https://example.com/ritz-photo1.jpg",
8    "https://example.com/ritz-photo2.jpg"
9  ],
10  "rating": 4.8,
11  "reviewsCount": 8754,
12  "priceRange": "£150 - £200",
13  "providerPrices": [
14    {
15      "provider": "Booking.com",
16      "price": 175,
17      "bookingUrl": "https://www.booking.com/hotel/ritz-london"
18    },
19    {
20      "provider": "Expedia",
21      "price": 180,
22      "bookingUrl": "https://www.expedia.com/hotel/ritz-london"
23    }
24  ]
25}

How This Output Can Be Used:

• Travel Agencies: Integrate the data into your platform for real-time hotel comparisons.
• Market Researchers: Analyze hotel pricing trends across various regions and timeframes.
• Developers: Easily export the output to databases, Excel, or custom-built apps for further processing.

---

🔧 Advanced Features

1. Multi-Currency Support

You can specify any global currency, ensuring price comparisons are accurate for international travelers or businesses.

2. Provider-Specific Data

Scrape prices from multiple providers, such as Booking.com, Expedia, and other popular booking platforms, allowing for easy comparison of deals.

3. High Customizability

Set parameters for specific date ranges, number of guests, and maximum results, giving you full control over the data you collect.

4. Optimized for High Volumes

Efficiently handles requests for high volumes of data without sacrificing performance. Perfect for businesses needing bulk hotel data or competitive pricing insights.

---

📈 Ideal Use Cases

• Travel Blogs: Populate your content with live hotel data for price comparisons and travel planning tips.
• Business Analysts: Use real-time data to study trends in hotel pricing and availability.
• Travel Agencies: Build dynamic pricing comparison tools for your customers.

---

🌐 Connect With Us

At QuickLife Solutions, we specialize in providing advanced data scraping solutions tailored to your needs. Check out our YouTube channel for tutorials, follow us on Instagram for updates, and subscribe to our AI newsletter for cutting-edge automation insights. Need help or want to explore more tools? Connect with us below:

• YouTube: Visit our channel
• Instagram: Follow us on Instagram
• AI Newsletter: Subscribe to our newsletter
• Free Consultation: Book a free consultation call
• More Tools: Explore our Apify actors
• Discord: Raise a Support ticket here
• Contact Email: codemasterdevops@gmail.com
• Website: Visit Out Website

---

Why QuickLife Solutions?

Our tools are built for professionals who demand both performance and reliability. Whether you’re a developer, marketer, or analyst, we provide high-quality automation solutions that integrate seamlessly into your workflow. Let’s automate your success!