Hostelworld.com Hotels Search Scraper: Extract Property Listings at Scale

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What Is Hostelworld.com?

Hostelworld is one of the world's leading budget accommodation platforms, listing hostels, hotels, guesthouses, and B&Bs across thousands of destinations globally. Its search results contain rich property data — pricing, ratings, facilities, and geolocation — that is valuable for travel market research, competitive analysis, and price monitoring. The Hostelworld Hotels Search Scraper automates extraction of this data from search result pages, eliminating manual collection entirely.

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Overview

This scraper targets Hostelworld's property search result pages and extracts structured listings for each property returned. It is built for:

• Travel analysts tracking accommodation pricing trends by city or date range
• Price comparison platforms aggregating budget accommodation data
• Researchers studying hostel/hotel supply in specific markets
• Developers building travel tools that need live property data

Configurable item limits and resilient URL handling make it suitable for both small spot-checks and large-scale data collection runs.

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Input Format

The scraper accepts a simple JSON configuration:

{
  "ignore_url_failures": true,
  "max_items_per_url": 200,
  "urls": [
    "https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3"
  ]
}

Field	Type	Description
urls	array	One or more Hostelworld search result page URLs to scrape. Add URLs one by one or use bulk edit.
max_items_per_url	integer	Maximum number of property listings to collect per URL. Default: 20. Set higher (e.g., 200) for full-page or multi-page coverage.
ignore_url_failures	boolean	If true, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: true.

How to build a valid URL:

Navigate to Hostelworld.com, search for a destination, apply your preferred filters (dates, guests, property type), then copy the full URL from your browser. Key query parameters include:

Parameter	Example	Meaning
q	Tokyo, Japan	Search query
from / to	2026-05-28 / 2026-05-31	Check-in and check-out dates
guests	2	Number of guests
page	3	Pagination (scrape multiple pages by incrementing)

Tip: To collect all results across multiple pages, add separate URLs per page (page=1, page=2, etc.) to the urls array.

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Output Format

Sample output record:

{
  "property_id": "41557331",
  "provider_id": "9242384",
  "name": "APA Hotel Asakusa Kuramae Kita",
  "property_type": "HOTEL",
  "star_rating": 3,
  "is_new": false,
  "latitude": "35.7061",
  "longitude": "139.79454",
  "distance_from_center": "9.47",
  "lowest_price": 3535119,
  "per_night_price": 3535119,
  "is_free_cancellation_available": false,
  "has_rating": true,
  "rating": "8.6",
  "number_of_reviews": 6693,
  "image_url": "https://q-xx.bstatic.com/xdata/images/hotel/max500/432374049.jpg?k=d828ca1e475f1c1ebcff0469bd7a8698690244ea8b3a4bfc42838d638055bd3e&o=&a=2429223",
  "booking_url": "https://www.tpi.hostelworld.com/hotels/41557331/APA-Hotel-Asakusa-Kuramae-Kita?correlationId=c6caaaf0-cfde-4ade-a49a-b2fe855b04a4",
  "facilities_count": 18,
  "facilities": [
    "24 Hour Reception",
    "Telephone/Fax Facilities",
    "Laundry Facilities",
    "Internet Access",
    "Wi-Fi",
    "Elevator",
    "Wheelchair Friendly",
    "Express check-in / out",
    "Paid Luggage Storage",
    "Massage",
    "Free WiFi",
    "Air Conditioning",
    "24 Hour Security",
    "Key Card Access",
    "Smoke Alarms",
    "CCTV in Common Areas",
    "Fire Extinguishers",
    "First Aid Kits"
  ],
  "facility_categories": [
    {
      "category": "Services",
      "facilities": [
        "24 Hour Reception",
        "Telephone/Fax Facilities"
      ]
    },
    {
      "category": "Laundry",
      "facilities": [
        "Laundry Facilities"
      ]
    },
    {
      "category": "Entertainment",
      "facilities": [
        "Internet Access",
        "Wi-Fi"
      ]
    },
    {
      "category": "Accessibility",
      "facilities": [
        "Elevator",
        "Wheelchair Friendly"
      ]
    },
    {
      "category": "Available for a Fee",
      "facilities": [
        "Express check-in / out",
        "Paid Luggage Storage"
      ]
    },
    {
      "category": "Wellness",
      "facilities": [
        "Massage"
      ]
    },
    {
      "category": "Free",
      "facilities": [
        "Free WiFi"
      ]
    },
    {
      "category": "Bedroom",
      "facilities": [
        "Air Conditioning"
      ]
    },
    {
      "category": "Safety & Security",
      "facilities": [
        "24 Hour Security",
        "Key Card Access",
        "Smoke Alarms",
        "CCTV in Common Areas",
        "Fire Extinguishers",
        "First Aid Kits"
      ]
    }
  ],
  "source_url": null,
  "raw_data": null,
  "from_url": "https://www.hostelworld.com/pwa/s?q=Tokyo,%20Japan&country=Japan&city=Tokyo&type=city&id=452&from=2026-05-28&to=2026-05-31&guests=2&page=3"
}

Complete Output Structure and Field Definitions

The scraper returns JSON data with each accommodation property as an object containing detailed fields. Understanding field purposes enables effective analysis and application.

Property Information

property_id: Unique identifier of the property on the platform. Purpose: Database indexing, deduplication, tracking a property over time.

provider_id: Identifier of the supplier/provider of the property. Purpose: Grouping properties by provider, joining with provider-side data.

name: Property name. Purpose: Property identification, search, and display.

property_type: Accommodation type (e.g., APARTMENT, HOTEL, HOSTEL). Purpose: Market segmentation by accommodation category.

star_rating: Official star classification. Purpose: Quality-tier comparison and filtering.

is_new: Whether the property is newly listed. Purpose: Identifying new market entrants.

Location

latitude / longitude: Geographic coordinates of the property. Purpose: Mapping, distance and proximity analysis.

distance_from_center: Distance from the search center point (city center). Purpose: Evaluating location convenience and its effect on price.

Pricing

lowest_price: Lowest total price for the searched stay (in the platform's currency unit). Purpose: Price benchmarking and budget filtering.

per_night_price: Price per night for the searched stay. Purpose: Comparing nightly rates across properties.

is_free_cancellation_available: Whether free cancellation is offered. Purpose: Evaluating booking flexibility and risk.

Ratings and Reviews

has_rating: Whether the property has a guest rating. Purpose: Filtering properties with reliable feedback.

rating: Average guest rating score (0–10 scale). Purpose: Quality comparison and ranking.

number_of_reviews: Total number of guest reviews. Purpose: Assessing rating reliability and popularity.

Media and Links

image_url: Main property image URL. Purpose: Preview display in dashboards and catalogs.

booking_url: Direct booking/detail page link. Purpose: Accessing full details, conversion tracking, sharing with clients.

Facilities

facilities_count: Total number of listed facilities. Purpose: Measuring amenity richness.

facilities: Flat list of all facility names. Purpose: Filtering by amenity (e.g., Wi-Fi, Air Conditioning), amenity-based analysis.

facility_categories: Facilities grouped by category (category, facilities). Purpose: Structured analysis of amenities by theme such as Safety, Accessibility, Bedroom.

Source and Raw Data

source_url: Search page URL where the property was scraped (includes city, dates, and guests). Purpose: Source tracing, identifying the search context for the price shown.

raw_data: Original unmodified JSON of the property. Purpose: Accessing any field not exposed in the cleaned output (facility IDs, numeric IDs, etc.), debugging, auditing.

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How to Use

1. Build your search URL — Go to Hostelworld.com, search a destination, set dates and guests, then copy the browser URL.
2. Paste into urls — Add one or more URLs to the array. For full coverage, include multiple paginated URLs.
3. Set max_items_per_url — Use 200 to capture full pages; lower values work for quick sampling.
4. Enable ignore_url_failures — Keep this true for multi-URL runs to avoid interruptions from occasional failures.
5. Export — Download results as JSON, CSV, or Excel for analysis or integration.

Common issues:

• Ensure dates in the URL are in YYYY-MM-DD format and are future dates — expired date ranges may return empty results.
• If a page returns fewer items than expected, check that the page parameter in the URL is valid (doesn't exceed the total number of search result pages).

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Use Cases & Business Value

• Price monitoring: Track nightly rate fluctuations for budget accommodation in target cities
• Market research: Analyze property supply, types, and ratings across destinations
• Competitive intelligence: Benchmark facilities and pricing against competitor listings
• Travel app development: Populate custom travel tools with live property data

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Conclusion

The Hostelworld Hotels Search Scraper turns paginated search results into clean, structured datasets with 18+ fields per property — covering pricing, ratings, location, and amenities. Whether you're building a price tracker or conducting hospitality market research, it delivers reliable data without manual effort. Configure your search URL, set your limits, and run.