PART 1: Generate README.md

Accor Reviews Scraper

The Accor Reviews Scraper is a powerful Apify Actor designed to extract customer reviews from Accor hotel properties efficiently and reliably. It leverages web scraping technology to gather detailed feedback, ratings, and insights from guest experiences, enabling businesses and researchers to analyze sentiment and trends. This tool is ideal for anyone needing structured data from Accor's extensive network of hotels worldwide.

Features

• Comprehensive Review Extraction: Scrapes full review details including author, rating, text, date, trip type, and responses for in-depth analysis.
• High Reliability: Built on Apify's robust CheerioCrawler, ensuring consistent performance with error handling and retry mechanisms.
• Customizable Crawling: Supports multiple start URLs and configurable request limits to tailor extractions to your needs.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
• Scalable Performance: Handles large volumes of reviews efficiently, with options for pagination and depth control.
• Data Quality Assurance: Filters out irrelevant content and provides accurate, up-to-date information from Accor sites.
• Easy Integration: Compatible with Apify's ecosystem for seamless data export to formats like CSV, Excel, or APIs.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start the crawl with. Should point to Accor hotel review pages.	[{"url": "https://all.accor.com/booking/en/accor/hotel/2185?destination=new-york-ny-usa&compositions=1&dateIn=2026-01-19&dateOut=2026-01-29&nights=10&hideWDR=false&accessibleRoom=false#section-reviews"}]
maxRequestsPerCrawl	integer	No	Maximum number of requests the crawler can make. Helps control costs and avoid rate limits.	100

Example Usage

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

{
  "startUrls": [
    {
      "url": "https://all.accor.com/booking/en/accor/hotel/2185?destination=new-york-ny-usa&compositions=1&dateIn=2026-01-19&dateOut=2026-01-29&nights=10&hideWDR=false&accessibleRoom=false#section-reviews"
    }
  ],
  "maxRequestsPerCrawl": 100
}

Example output:

[
  {
    "author": "Ellen C.",
    "avatar": null,
    "rating": 4,
    "title": "",
    "text": "I\u2019ve stayed at Sofitel New York many times and always enjoy the stay. The staff is wonderful and engaging. I wish that that were more perks for loyalty to the hotel. It would be especially nice if the room upgrade would be a noticeable difference in room size/quality. Prior to the hotel renovations, the restaurant/bar, Gaby, offered little snack mix bowls when in the bar, and it was very pleasant. I often ordered from the menu as well, but it was nice to have the snack mix with drinks (my family agrees!) but that is no longer part of the drinks experience in the bar. I encourage management to bring it back. It\u2019s always wise to offer a bit of food with drinks and of course still encourage patrons to order something from the menu as well. I must emphasize again that the staff \u2014 everyone \u2014 is pleasant and engaging and they make the experience of wishing at Sofitel a pleasure.",
    "date": "2026-02-03",
    "kind": "TRUST_YOU",
    "tripType": "As a couple",
    "responses": []
  }
]

Use Cases

• Market Research: Analyze guest sentiment to identify trends in hospitality preferences and improve service offerings.
• Competitive Intelligence: Compare reviews across Accor properties or against competitors to benchmark performance.
• Price Monitoring: Correlate review ratings with pricing data for dynamic pricing strategies.
• Content Aggregation: Collect reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Gather data for studies on tourism, customer behavior, or hotel management.
• Business Automation: Automate review monitoring for real-time alerts on negative feedback or emerging issues.

Installation and Usage

1. Search for "Accor Reviews 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 data in JSON array format, where each object represents a single review. Key fields include:

• author: Name of the reviewer.
• avatar: URL to the reviewer's avatar (often null).
• rating: Numerical rating (e.g., 1-5).
• title: Review title (may be empty).
• text: Full review content.
• date: Date of the review in YYYY-MM-DD format.
• kind: Review type (e.g., "TRUST_YOU").
• tripType: Context like "As a couple".
• responses: Array of hotel responses (usually empty).

This structured format ensures easy parsing and integration.

Support

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

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

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

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PART 2: Generate Description (Max 300 characters)

Unlock valuable insights from Accor hotel reviews with our reliable scraper. Extract detailed guest feedback, ratings, and sentiments effortlessly. Key features include customizable URLs, high-speed crawling, and structured JSON output. Perfect for market research, competitive analysis, and business intelligence. Start scraping today and gain a competitive edge! (248 characters)