Accor Urls Scraper

Introduction

The Accor Urls Scraper is a powerful Apify Actor designed to extract comprehensive hotel data from Accor Group websites. It crawls specified URLs to gather detailed information about hotels, including ratings, reviews, amenities, pricing, and more, making it an essential tool for travel industry professionals. This Actor ensures reliable, structured data extraction to support informed decision-making in hospitality research and analysis.

Features

• Comprehensive Data Extraction: Scrapes detailed hotel profiles, including contact info, descriptions, ratings, reviews, amenities, and room offers.
• High Reliability: Built on CheerioCrawler for efficient HTML parsing, handling dynamic content and ensuring data accuracy.
• Customizable Crawling: Supports multiple start URLs and configurable request limits to tailor crawls to your needs.
• Structured Output: Delivers clean JSON data with nested objects for easy integration into databases or analytics tools.
• Performance Optimized: Handles large-scale extractions with minimal resource usage, ideal for batch processing.
• Error-Resilient: Includes built-in handling for common web scraping challenges like timeouts and blocked requests.
• Apify Integration: Seamlessly runs on the Apify platform with real-time monitoring and export options.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	An array of URLs to start the crawl from. Each URL should point to an Accor hotel page.	[{"url": "https://all.accor.com/booking/en/accor/hotel/9685"}]
maxRequestsPerCrawl	integer	No	The maximum number of requests the crawler can make during a single run. Helps control costs and avoid rate limits.	100

Example Usage

Input

{
  "startUrls": [
    {
      "url": "https://all.accor.com/booking/en/accor/hotel/9685"
    }
  ],
  "maxRequestsPerCrawl": 100
}

Output

[
  {
    "hotelId": "9685",
    "name": "Mercure Paris Notre Dame Saint Germain des Prés",
    "brand": "Mercure",
    "stars": 4,
    "location": {
      "address": "20 Rue Sommerard",
      "city": "PARIS",
      "zipCode": "75005",
      "country": "France",
      "countryCode": "FR",
      "coordinates": {
        "lat": 48.850247,
        "lng": 2.345198
      }
    },
    "contact": {
      "phone": "+33 1 43 54 47 60",
      "email": "h9685@accor.com"
    },
    "description": {
      "general": "Stay a 8-min walk from Notre-Dame de Paris Cathedral, Île de la Cité and Île Saint-Louis, opposite the Sorbonne. In the heart of the Latin Quarter, Mercure Paris Notre-Dame Saint-Germain-des-Prés is in a great location. Easy access by RER B, RER C and Saint-Michel and Cluny-La Sorbonne metro stations. Come and relax in comfortable bedrooms with A/C and a contemporary decor.",
      "destination": "Our hotel stands out thanks to its great location close to the capital's main attractions: Notre-Dame Cathedral, the Latin Quarter, Saint-Michel, the Sorbonne and the Pantheon."
    },
    "rating": {
      "score": 4.6,
      "numberOfReviews": 404,
      "origin": "TRUST_YOU"
    },
    "reviews": [
      {
        "author": "Dominic B.",
        "rating": 4,
        "text": "This hotel is superbly located for Notre Dame, the Musee Cluny, and two RER lines. Like most Parisian 3* hotels it is on the simple side, with fairly small rooms, and a simple but high quality breakfast offering. For a one-night business-related stay it was fine, and the staff were very welcoming and helpful. The elevator is tiny and you can wait a long time for it - but that would be true of many similar properties in the city centre at this price point. Overall, this hotel is well worth of consideration within its class/category.",
        "date": "2026-01-24",
        "tripType": "Business"
      },
      {
        "author": "Sophie T.",
        "rating": 3,
        "text": "The beds had a weird plastic sheet under the sheet. But it wasn’t fitted so throughout the night had to re make the bed several times as we woke stuck to the plastic sheet. Was horrid. Room air con didn’t work either so had to have to window open.",
        "date": "2026-01-07",
        "tripType": "As a family"
      },
      {
        "author": "Denis N.",
        "rating": 4,
        "text": "Comfortable room well kitted out, but a few more coffee sachets would be appreciated",
        "date": "2025-12-23",
        "tripType": "As a couple"
      }
    ],
    "amenities": [
      "Pets not allowed",
      "Wi-Fi",
      "Air conditioning",
      "Breakfast",
      "Bar",
      "Meeting rooms",
      "100% Non Smoking Property",
      "Kettle",
      "Coffee machine",
      "Room service"
    ],
    "checkIn": "2:00 PM",
    "checkOut": "12:00 PM",
    "roomOccupancy": {
      "maxAdult": 2,
      "maxChild": 1,
      "maxPax": 2
    },
    "offers": [
      {
        "id": "vWrcG8Cawr8spYeEFI",
        "roomType": "Classic Room with 1 single bed",
        "dateIn": "2026-02-10",
        "lengthOfStay": 5,
        "pricing": {
          "amount": 1302.9,
          "formattedAmount": "€1,302.90",
          "currency": "EUR",
          "memberDiscount": "€66.35"
        },
        "mealPlan": "Room only",
        "cancellationPolicy": "Cancellation subject to conditions",
        "guaranteePolicy": "No prepayment required",
        "remaining": 1,
        "roomFeatures": [
          "1 Single bed(s)",
          "1 pers. max",
          "City View"
        ],
        "images": [
          "https://www.ahstatic.com/photos/9685_rosgc_00_p_1024x768.jpg",
          "https://www.ahstatic.com/photos/9685_rosgc_01_p_1024x768.jpg"
        ]
      },
      {
        "id": "vWrcG8Cawr8JJrw2Rw",
        "roomType": "Classic Room with 1 single bed",
        "dateIn": "2026-02-10",
        "lengthOfStay": 5,
        "pricing": {
          "amount": 1402.65,
          "formattedAmount": "€1,402.65",
          "currency": "EUR",
          "memberDiscount": "€71.60"
        },
        "mealPlan": "Breakfast included",
        "cancellationPolicy": "Cancellation subject to conditions",
        "guaranteePolicy": "No prepayment required",
        "remaining": 1,
        "roomFeatures": [
          "1 Single bed(s)",
          "1 pers. max",
          "City View"
        ],
        "images": [
          "https://www.ahstatic.com/photos/9685_rosgc_00_p_1024x768.jpg",
          "https://www.ahstatic.com/photos/9685_rosgc_01_p_1024x768.jpg"
        ]
      }
    ],
    "images": [
      "https://www.ahstatic.com/photos/9685_ho_00_p_1024x768.jpg",
      "https://www.ahstatic.com/photos/9685_ho_01_p_1024x768.jpg",
      "https://www.ahstatic.com/photos/9685_ho_02_p_1024x768.jpg",
      "https://www.ahstatic.com/photos/9685_ho_03_p_1024x768.jpg"
    ],
    "paymentMethods": [
      "Visa",
      "PayPal",
      "iDeal",
      "Mastercard",
      "American Express",
      "Diners Club",
      "China UnionPay",
      "JCB",
      "BanContact MisterCash",
      "Carte Bancaire",
      "Discover"
    ],
    "availability": "AVAILABLE"
  }
]

Use Cases

• Market Research: Analyze hotel ratings, reviews, and amenities to identify trends in the hospitality industry.
• Competitive Intelligence: Compare pricing and features across Accor brands for strategic pricing decisions.
• Price Monitoring: Track room offers and discounts to monitor market rates and availability.
• Content Aggregation: Build databases of hotel descriptions and images for travel websites or apps.
• Academic Research: Study customer feedback and location data for tourism and hospitality studies.
• Business Automation: Automate data collection for CRM systems or booking platforms to enhance user experiences.

Installation and Usage

1. Search for "Accor Urls Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., add start URLs and set max requests).
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 an array of JSON objects, each representing a scraped hotel. Key fields include hotelId, name, brand, stars, location (with address and coordinates), contact, description, rating (score and reviews), reviews (array of user feedback), amenities, check-in/out times, roomOccupancy, offers (pricing and details), images, paymentMethods, and availability. 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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