Expedia Scraper

The Expedia Scraper is a powerful Apify Actor designed to extract detailed hotel information from Expedia web pages efficiently and reliably. It automates the process of gathering data such as hotel names, ratings, prices, and amenities, making it ideal for travel agencies, researchers, and businesses needing up-to-date travel insights. By leveraging Scrapy and Apify's infrastructure, this tool ensures high-speed, scalable scraping with minimal setup.

Features

• Comprehensive Data Extraction: Scrapes key hotel details including names, locations, star ratings, guest reviews, pricing, and amenities from Expedia pages.
• High Reliability: Built with robust error handling to manage dynamic web content and anti-scraping measures, ensuring consistent data quality.
• Scalable Performance: Supports batch processing of multiple URLs with configurable item limits for efficient large-scale operations.
• Proxy Integration: Utilizes Apify Proxy for IP rotation and anonymity, reducing the risk of blocks and enhancing scraping success rates.
• Flexible Output: Delivers results in JSON format, easily integrable with downstream tools for analysis or storage.
• User-Friendly Configuration: Simple input parameters allow customization without coding expertise.
• Cost-Effective: Optimized for Apify's platform to minimize resource usage and operational costs.

Input Parameters

Parameter	Type	Required	Description	Example
urls	array	Yes	A list of URLs of the Expedia hotel pages to scrape data from.	["https://www.expedia.com/Prague-Hotels-Art-Nouveau-Palace-Hotel.h445270.Hotel-Information"]
item_limit	integer	No	Maximum number of items to be returned by the scraper. If not set, all items will be returned.	10
proxyConfiguration	object	No	Specifies proxy servers used by the scraper to hide its origin.	{"useApifyProxy": true}

Example Usage

To run the Expedia Scraper, provide input parameters in JSON format. Here's an example:

{
  "urls": [
    "https://www.expedia.com/Prague-Hotels-Art-Nouveau-Palace-Hotel.h445270.Hotel-Information"
  ],
  "item_limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Example output in JSON format:

[
  {
    "hotel_name": "Art Nouveau Palace Hotel",
    "location": "Prague, Czech Republic",
    "rating": 4.5,
    "reviews_count": 1200,
    "price_per_night": "$150",
    "amenities": ["Free WiFi", "Spa", "Restaurant"],
    "url": "https://www.expedia.com/Prague-Hotels-Art-Nouveau-Palace-Hotel.h445270.Hotel-Information"
  }
]

Use Cases

• Market Research and Analysis: Gather competitive hotel pricing and ratings to inform pricing strategies for travel businesses.
• Competitive Intelligence: Monitor rival hotels' offerings, reviews, and amenities to stay ahead in the market.
• Price Monitoring: Track price fluctuations for dynamic pricing models in booking platforms.
• Content Aggregation: Compile hotel data for travel blogs, comparison sites, or recommendation engines.
• Academic Research: Collect data on tourism trends, such as popular destinations and guest preferences.
• Business Automation: Integrate scraped data into CRM systems for personalized travel recommendations.

Installation and Usage

1. Search for "Expedia Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as described above.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The scraper outputs data in JSON array format, where each object represents a scraped hotel item. Key fields include:

• hotel_name: The name of the hotel.
• location: Geographic location.
• rating: Average guest rating (e.g., 4.5).
• reviews_count: Number of reviews.
• price_per_night: Estimated nightly price.
• amenities: List of available amenities.
• url: Source URL.

This structured format allows easy parsing and integration with databases or analytics tools.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

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