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Accor Category Scraper

Under maintenance

Pricing

from $0.05 / actor start

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Accor Category Scraper

Accor Category Scraper

Under maintenance

Effortlessly extract detailed hotel data from Accor Group properties worldwide. Scrape categories, amenities, ratings, pricing, and availability by date and location. Ideal for market research, competitive intelligence, and price monitoring....

Pricing

from $0.05 / actor start

Rating

0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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1

Monthly active users

2 days ago

Last modified

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The Accor Category Scraper is a powerful Apify Actor designed to extract and categorize hotel data from Accor Group properties worldwide. It automates the collection of detailed hotel information, including categories, amenities, and availability, based on specified dates and locations. This tool empowers businesses, researchers, and developers to gather accurate, up-to-date hotel data efficiently for analysis and decision-making.

Features

  • Comprehensive Data Extraction: Scrapes detailed hotel categories, including luxury, business, and budget options, along with key attributes like amenities and ratings.
  • Date-Specific Queries: Supports precise date ranges for check-in and check-out to retrieve real-time availability and pricing.
  • Location-Based Filtering: Targets specific regions or countries, ensuring relevant and localized results.
  • High Reliability: Built on CheerioCrawler for robust web scraping with error handling and retries.
  • Structured Output: Delivers clean, JSON-formatted data ready for integration into databases or analytics tools.
  • Scalable Performance: Handles large-scale extractions with efficient crawling to minimize runtime.
  • Customizable Inputs: Flexible parameters allow tailored queries for niche use cases.

Input Parameters

ParameterTypeRequiredDescriptionExample
dateInstringYesThe check-in date in YYYY-MM-DD format to filter hotel availability."2023-10-15"
dateOutstringYesThe check-out date in YYYY-MM-DD format to define the stay period."2023-10-20"
locationstringYesThe target location or region for hotel searches (e.g., city or country)."Paris, France"

Example Usage

To run the Actor, provide input parameters in JSON format. Below is an example input:

{
"dateIn": "2023-10-15",
"dateOut": "2023-10-20",
"location": "Paris, France"
}

Example output (simulated based on typical data structure):

[
{
"hotelName": "Novotel Paris Centre Tour Eiffel",
"category": "Mid-range",
"rating": 4.2,
"amenities": ["Free Wi-Fi", "Fitness Center", "Restaurant"],
"pricePerNight": 150,
"availability": true,
"location": "Paris, France"
},
{
"hotelName": "Sofitel Paris Le Faubourg",
"category": "Luxury",
"rating": 4.8,
"amenities": ["Spa", "Concierge", "Fine Dining"],
"pricePerNight": 500,
"availability": true,
"location": "Paris, France"
}
]

Use Cases

  • Market Research and Analysis: Analyze hotel categories and pricing trends in specific regions to inform market entry strategies.
  • Competitive Intelligence: Compare Accor properties against competitors by extracting category details and amenities.
  • Price Monitoring: Track dynamic pricing for stays across dates to optimize booking times.
  • Content Aggregation: Build databases of hotel listings for travel websites or apps.
  • Academic Research: Study tourism patterns by collecting categorized hotel data over time.
  • Business Automation: Automate lead generation for hospitality businesses by identifying high-demand categories.

Installation and Usage

  1. Search for "Accor Category Scraper" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  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 Actor outputs a JSON array of objects, each representing a hotel. Key fields include:

  • hotelName: The name of the hotel.
  • category: The hotel's category (e.g., Luxury, Mid-range).
  • rating: Average user rating (numeric).
  • amenities: Array of available amenities.
  • pricePerNight: Estimated price per night in the specified currency.
  • availability: Boolean indicating if rooms are available for the dates.
  • location: The queried location.

Data is structured for easy parsing and integration.

Support

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

We're here to help you get the most out of this Actor!


Concise Description (248 characters):
Unlock precise hotel data with Accor Category Scraper! Extract categories, amenities, and pricing for Accor properties by date and location. Ideal for market research, price monitoring, and competitive analysis. Fast, reliable, and scalable—start scraping today on Apify! (248 characters)