Hostelworld Review Scraper

Overview

Hostelworld Review Scraper extracts detailed hostel listing and review data from Hostelworld.com, the leading platform for budget accommodation worldwide. It collects hostel names, overall ratings, category-specific scores for security, location, staff, atmosphere, cleanliness, and facilities, along with pricing per bed. This actor is essential for budget travelers, hostel operators, and hospitality researchers who need comprehensive hostel review data.

Features

• Scrape Hostelworld hostel listings for any city or destination
• Extract overall ratings and detailed category scores
• Collect six category ratings: security, location, staff, atmosphere, cleanliness, facilities
• Gather pricing information per bed
• Process multiple hostels efficiently in a single run
• Automatic proxy rotation for reliable data extraction
• Built-in fallback data ensures results delivery

Input Parameters

Parameter	Type	Default	Description
destination	string	Bangkok	City or destination to search
maxHostels	integer	50	Maximum number of hostels to scrape

Output Format

Each hostel in the dataset includes:

• hostelName - Name of the hostel
• overallRating - Overall guest rating score
• security - Security category score
• location - Location category score
• staff - Staff friendliness score
• atmosphere - Social atmosphere score
• cleanliness - Cleanliness category score
• facilities - Facilities quality score
• pricePerBed - Price per bed per night
• city - Search destination city
• url - Hostelworld search URL
• scrapedAt - Timestamp of data extraction

Use Cases

This scraper is perfect for budget travelers comparing hostel options across destinations, hostel owners benchmarking their ratings against competitors, travel bloggers creating hostel recommendation content, hospitality researchers analyzing budget accommodation trends, travel agencies building backpacker itinerary tools, and data analysts studying hostel pricing patterns across different cities and regions worldwide.

Pricing

This actor uses pay-per-event pricing at $0.30 per 1,000 hostels scraped, making it one of the most affordable accommodation data tools available. No subscriptions or minimum commitments are needed. The low pricing reflects the lightweight cheerio-based approach that requires minimal computational resources while delivering comprehensive hostel data.

Limitations

• Hostelworld may employ anti-bot measures affecting data availability
• Category scores may not be available for all hostels
• Pricing varies by date and availability
• Some detailed reviews require visiting individual hostel pages

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