Visitslovenia Search Scraper

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Introduction

The Visitslovenia Search Scraper is a powerful Apify Actor designed to extract comprehensive accommodation data from the official Slovenia tourism website. It efficiently scrapes details such as hotel names, locations, ratings, prices, and booking links, enabling users to gather valuable insights for travel planning, market research, and competitive analysis. By automating the data collection process, this Actor saves time and ensures access to up-to-date information from a reliable source.

Features

• Comprehensive Data Extraction: Scrapes detailed accommodation information including names, descriptions, locations, ratings, and booking URLs.
• High Reliability: Built on CheerioCrawler for robust web scraping with error handling and retry mechanisms.
• Customizable Limits: Allows users to set maximum requests per crawl to control data volume and avoid overloading sources.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases or analysis tools.
• Fast Performance: Optimized for speed, processing multiple pages efficiently without unnecessary delays.
• Geographic Precision: Includes latitude, longitude, and address details for accurate mapping and location-based queries.
• Integration Ready: Outputs data compatible with popular platforms like Booking.com and Agoda for seamless cross-referencing.

Input Parameters

Example Usage

Input JSON

{
"maxItems":50
}

Output JSON

[
{
"accommodation_id":"664176ee-0827-4bca-940b-423101085358",
"accommodation_name":"Ribiska hisa - Old Piran Fisherman's House",
"accommodation_slug":"ribiska-hisa-old-piran-fisherman-s-house",
"short_description":"check out Ribiska hisa Old Piran Fisherman's House, a appealing 4-star guesthouse in Piran, Slovenia, featuring WiFi, air conditioning, and a prime location near attractions and dining.",
"city_id":"1d855e13-6c66-4ce1-97fd-c2bba222cd54",
"city_name":"Piran",
"city_slug":"piran",
"neighborhood_id":null,
"accommodation_type_id":"44f01740-7c52-43ad-b91b-a37d3d5eef33",
"accommodation_type_name":"Guesthouse",
"accommodation_type_slug":"guesthouses",
"price_from":null,
"price_currency":"USD",
"review_score":8.8,
"star_rating":4,
"is_featured":false,
"image_quality_approved":null,
"featured_image_url":"https://q-xx.bstatic.com/xdata/images/hotel/max1024x768/199257421.jpg?k=c3ddecbe8656cac788b4a35442e1c2fda1a3c00a3862d6a74b399c224771d345&o=",
"address":"Pusterla 6, Piran, Piran, Slovenia, 6330",
"postal_code":null,
"latitude":45.53015518,
"longitude":13.56531429,
"agoda_hotel_id":"7890638",
"booking_com_id":null,
"booking_com_url":"https://www.booking.com/searchresults.html?ss=Ribiska+hisa+-+Old+Piran+Fisherman%27s+House%2C+Piran&dest_id=-126693&dest_type=city&checkin=2025-11-01&checkout=2025-11-02&group_adults=2&no_rooms=1&latitude=45.53015518&longitude=13.56531429",
"agoda_url":"https://www.agoda.com/old-piran-fisherman-s-house/hotel/piran-si.html?ds=JrVtqTtvnh2Wx0hh",
"facility_count":0,
"matched_facilities":[],
"total_count":532
}
]

Use Cases

• Market Research and Analysis: Gather data on accommodation trends, pricing, and popularity in Slovenia for tourism reports.
• Competitive Intelligence: Compare ratings, facilities, and booking links of rival properties to inform business strategies.
• Price Monitoring: Track price fluctuations and availability for dynamic pricing models in travel agencies.
• Content Aggregation: Build comprehensive databases of Slovenian accommodations for travel blogs or apps.
• Academic Research: Collect location-based data for studies on tourism economics or geographic distribution.
• Business Automation: Automate data feeds for CRM systems or marketing campaigns targeting travelers.

Installation and Usage

1. Search for "Visitslovenia Search 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 format as an array of objects. Each object represents an accommodation and includes fields like accommodation_id, accommodation_name, city_name, review_score, star_rating, latitude, longitude, and URLs for Booking.com and Agoda. The total_count field indicates the overall number of results scraped. 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!

PART 2: Generate Description (Max 300 characters)

Unlock Slovenia's top accommodations with Visitslovenia Search Scraper! Extract detailed hotel data including ratings, prices, locations, and booking links from the official tourism site. Ideal for market research, price monitoring, and travel planning. Fast, reliable, and ready for integration. Try it free today! (248 characters)