Visitrome Category Scraper

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Introduction

The Visitrome Category Scraper is a powerful Apify Actor designed to extract comprehensive accommodation data from Visitrome, a leading tourism platform for Rome. It efficiently scrapes hotel listings, including details like names, locations, ratings, and booking links, enabling users to gather valuable insights for travel planning, market research, and business intelligence. This tool ensures reliable, structured data extraction with minimal setup, making it ideal for developers and analysts seeking high-quality tourism data.

Features

• Comprehensive Data Extraction: Scrapes detailed accommodation information including names, descriptions, prices, ratings, and geolocation data.
• High Reliability: Built on Apify's CheerioCrawler for robust web scraping with error handling and retry mechanisms.
• Structured Output: Delivers data in clean JSON format, ready for integration into databases, analytics tools, or applications.
• Customizable Limits: Allows users to set maximum requests per crawl to control data volume and avoid rate limits.
• Fast Performance: Optimized for speed, processing multiple pages efficiently without overloading target servers.
• Booking Integration: Includes direct links to Agoda and Booking.com for seamless reservation access.
• Scalable: Suitable for small queries or large-scale data collection across Rome's accommodation categories.

Input Parameters

Example Usage

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

{
"maxRequestsPerCrawl":50
}

This will limit the crawl to 50 requests. The Actor will then scrape accommodation data and output it as a JSON array. An example output snippet is shown below:

[
{
"accommodation_id":"0847c817-1f6b-42b4-855d-2c6fac7198e9",
"accommodation_name":"La Chiave di Roma",
"accommodation_slug":"la-chiave-di-roma",
"short_description":"Conveniently situated in the <a href=\"/rome/neighborhoods/san-giovanni\" class=\"internal-link\">San Giovanni</a> part of Rome, this property puts you close to attractions and interesting dining options. This 3-star property is packed with in-house facilities to improv...",
"city_id":"a231c6d8-725b-4552-b7d9-e7cf85492b36",
"city_name":"Rome",
"city_slug":"rome",
"neighborhood_id":null,
"accommodation_type_id":"68c57658-bf88-4ab9-887c-99edb6de0e88",
"accommodation_type_name":"Hotel",
"accommodation_type_slug":"hotels",
"price_from":null,
"price_currency":"EUR",
"review_score":10,
"star_rating":3,
"is_featured":false,
"image_quality_approved":null,
"featured_image_url":"https://visitrome.b-cdn.net/accommodation/la-chiave-di-roma.jpg",
"address":"Via Cuma",
"postal_code":"00183",
"latitude":41.88223267,
"longitude":12.50920677,
"agoda_hotel_id":"954417",
"booking_com_id":null,
"booking_com_url":"https://www.booking.com/searchresults.html?ss=La+Chiave+di+Roma%2C+Rome&dest_id=-126693&dest_type=city&latitude=41.88223267&longitude=12.50920677&checkin=2025-11-01&checkout=2025-11-02&group_adults=2&no_rooms=1",
"agoda_url":"https://www.agoda.com/la-chiave-di-roma/hotel/rome-it.html?ds=v5JM5yDb7lNcM5kf",
"facility_count":0,
"matched_facilities":[],
"total_count":3327
}
]

Use Cases

• Market Research: Analyze accommodation trends, pricing, and ratings to inform tourism strategies.
• Competitive Intelligence: Monitor competitors' listings and offerings in Rome's hotel market.
• Price Monitoring: Track price fluctuations and availability for dynamic pricing models.
• Content Aggregation: Build databases for travel blogs, apps, or directories featuring Rome accommodations.
• Academic Research: Study tourism patterns, such as star ratings and geographic distribution.
• Business Automation: Integrate data into CRM systems or booking platforms for automated workflows.

Installation and Usage

1. Search for "Visitrome 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 output is a JSON array of objects, each representing an accommodation listing. Key fields include:

• accommodation_id: Unique identifier for the property.
• accommodation_name and slug: Name and URL-friendly version.
• short_description: Brief overview with HTML links.
• city_name, neighborhood_id: Location details.
• accommodation_type_name: Category like "Hotel".
• price_from, price_currency: Pricing information.
• review_score, star_rating: Quality metrics.
• featured_image_url: Image link.
• address, latitude, longitude: Geospatial data.
• agoda_url, booking_com_url: Direct booking links.
• total_count: Total listings scraped.

Data is structured for 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!