Google Hotels Scraper – Precision Hotel Data Extraction

Export live hotel prices, availability, reviews, and photos from Google Travel in minutes. Perfect for price intelligence, hospitality analytics, and travel SaaS dashboards.

The Google Hotels Scraper (Apify Actor) gives you fast, production-grade access to the rich hotel listings hidden inside Google Travel. Harvest real-time hotel prices, compare travel providers, and monitor rate parity at scale—without writing brittle Playwright flows from scratch.

Designed for marketing teams, travel startups, and hospitality analysts, this scraper balances SEO-ready content with enterprise-grade performance tunables. Configure your inputs, click run, and stream structured JSON/CSV that plugs directly into pricing intelligence tools, BI dashboards, or custom travel booking experiences.

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🔍 SEO Snapshot

• Target keyword focus: google hotels scraper, google travel scraper, hotel price scraper, hotel data api
• Meta description suggestion: "Google Hotels Scraper for Apify – export Google Travel hotel prices, availability, reviews, and provider rates in real time for travel analytics and hospitality market intelligence."
• Audience fit: Travel tech founders, hospitality analysts, SEO agencies, OTAs, price intelligence teams
• Pain solved: Manual hotel price tracking, slow data collection, unreliable scripts, missed rate-parity alerts

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🚀 Why Use This Hotel Scraper?

• Real-time Google Travel data: Capture live prices, availability, reviews, and rating counts straight from Google Hotels.
• Flexible hotel price intelligence: Filter by destination, travel dates, guest count, currency, and result limits to match any analysis.
• Production-ready speed: Built-in concurrency controls, proxy support, and consent bypass mean reliable runs under heavy loads.
• Instant integrations: Export clean JSON/CSV into BI dashboards, hospitality market intelligence tools, OTAs, or SEO content pipelines.
• Rate parity monitoring: Compare providers such as Booking.com, Expedia, and Agoda to catch undercutting and dynamic pricing shifts.

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⚡ Quick Start on Apify

1. Open the actor on Apify and click Try actor (works with the free Apify trial).
2. Paste the sample input below or adjust it for your target destination and dates.
3. Run with Apify proxies (residential or datacenter) for best success rate.
4. Download the results from the dataset tab as JSON, CSV, or Excel.

CLI users can install with apify create actor QuickLifeSolutions/google-hotels-scraper and then run apify run locally.

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🏨 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:

{
  "location": "London",
  "checkInDate": "2024-11-10",
  "checkOutDate": "2024-11-15",
  "adults": 2,
  "children": 1,
  "currency": "GBP",
  "maxResults": 20
}

This configuration returns up to 20 Google Hotel listings in London, showing GBP-denominated prices for two adults and one child between 10–15 November 2024.

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📊 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:

{
  "hotelName": "The Ritz London",
  "hotelUrl": "https://www.ritzlondon.com/",
  "address": "150 Piccadilly, St. James's, London W1J 9BR, United Kingdom",
  "phoneNumber": "+44 20 7493 8181",
  "photos": [
    "https://example.com/ritz-photo1.jpg",
    "https://example.com/ritz-photo2.jpg"
  ],
  "rating": 4.8,
  "reviewsCount": 8754,
  "priceRange": "£150 - £200",
  "providerPrices": [
    {
      "provider": "Booking.com",
      "price": 175,
      "bookingUrl": "https://www.booking.com/hotel/ritz-london"
    },
    {
      "provider": "Expedia",
      "price": 180,
      "bookingUrl": "https://www.expedia.com/hotel/ritz-london"
    }
  ]
}

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.
• SEO & Content Teams: Generate hotel landing pages with live pricing snippets and structured data.
• Developers: Export the dataset into warehouses, price intelligence microservices, or travel SaaS products.

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🔧 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.

5. Production-Ready Performance Controls

New optional input knobs (maxConcurrency, minConcurrency, maxRequestsPerMinute, requestHandlerTimeoutSecs) let you balance crawl speed with resilience, making it easy to dial the scraper up or down for different network environments.

6. Consent bypass & proxy-friendly

Pre-seeded Google consent cookies and Apify proxy configuration ensure requests land directly on Google Travel search results—keeping scrape times under 90 seconds for 10 hotels.

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📈 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.
• Hospitality Revenue Managers: Monitor competitor rates, promotions, and channel strategies daily.
• Hospitality SaaS & OTAs: Feed hotel listings into recommendation engines, booking flows, or traveler alerts.

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🌐 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

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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!