Hostelworld Hotels Scraper

What does Hostelworld Hotels Scraper do?

Hostelworld Hotels Scraper collects structured hotel and hostel listings from public Hostelworld city pages and search URLs. Enter one Hostelworld URL to receive property names, accommodation types, prices, ratings, facilities, room summaries, images, locations, and direct property links in an Apify dataset.

Use the results for travel research, accommodation comparison, price monitoring, city guides, and hospitality market analysis. The Actor supports standard /hostels/ and /hotels/ city URLs as well as search URLs that include query parameters and a city ID.

Why use Hostelworld Hotels Scraper?

• Compare destinations - Collect properties from Barcelona, Paris, London, Bangkok, and New York.
• Analyze prices and ratings - Review nightly price signals, currency, overall scores, review counts, and rating categories such as location, staff, cleanliness, facilities, and value for money.
• Separate hotels and hostels - Use property_type to distinguish the accommodation types returned by Hostelworld.
• Build accommodation catalogs - Keep addresses, coordinates, districts, descriptions, facilities, room summaries, images, and direct property URLs together.
• Monitor hospitality markets - Schedule repeat runs to compare listing visibility, promotions, prices, ratings, and popular areas over time.
• Collect only what you need - Set a result limit and page limit for quick checks or larger destination datasets.
• Use the data in existing workflows - Download the dataset or connect it to spreadsheets, databases, webhooks, no-code tools, and applications through Apify.

What data can you extract from Hostelworld?

Each dataset item represents one unique Hostelworld property. Fields are included when Hostelworld provides the corresponding information for a listing.

Field	Type	Description
property_id	String	Hostelworld property identifier.
property_name	String	Name of the hotel, hostel, or other accommodation.
property_type	String	Accommodation type, such as HOSTEL or HOTEL.
star_rating	Number	Official star rating when available.
address	String	Street address.
district	String	Main neighborhood or district.
districts	Array of Strings	Additional district names when available.
description	String	Property overview or description.
images	Array of Strings	Property image URLs.
image_count	Number	Number of image URLs collected.
city	String	City where the property is located.
country	String	Country where the property is located.
latitude	Number	Geographic latitude.
longitude	Number	Geographic longitude.
distance_km	Number	Distance from the city center in kilometers.
rating_overall	Number	Overall guest rating, generally on a 0 to 100 scale.
total_ratings	Number	Number of guest ratings.
rating_security	Number	Security rating.
rating_location	Number	Location rating.
rating_staff	Number	Staff rating.
rating_atmosphere	Number	Atmosphere or fun rating.
rating_cleanliness	Number	Cleanliness rating.
rating_facilities	Number	Facilities rating.
rating_value_for_money	Number	Value-for-money rating.
price_from	String	Lowest displayed nightly price.
price_currency	String	Currency used for the displayed price.
lowest_dorm_price	String	Lowest displayed dorm price per night.
lowest_private_price	String	Lowest displayed private-room price per night.
average_price	String	Average lowest nightly price when available.
average_price_original	String	Original average nightly price before a displayed reduction.
average_dorm_price	String	Average dorm price when available.
average_private_price	String	Average private-room price when available.
free_cancellation	Boolean	Whether free cancellation is shown.
free_cancellation_until	String	Free-cancellation deadline when available.
is_promoted	Boolean	Whether the property is promoted.
is_featured	Boolean	Whether the property is featured.
is_new	Boolean	Whether the property is marked as new.
very_popular	Boolean	Whether the property is marked as very popular.
hostelworld_recommends	Boolean	Whether Hostelworld recommends the property.
facilities	Array of Strings	Facility names collected for the property.
facilities_count	Number	Number of facilities collected.
rooms	Array of Objects	Room summaries with name, type, capacity, ensuite status, and price when available.
room_types_count	Number	Number of room summaries collected.
promotions	Array of Objects	Promotion summaries with name, discount, and type when available.
discount_percent	Number	Displayed discount percentage when available.
property_url	String	Direct Hostelworld property page URL.
search_url	String	Canonical city URL used for the run.

How to use Hostelworld Hotels Scraper

1. Open the Actor in Apify Console.
2. Paste a public Hostelworld city or search URL into startUrl.
3. Set results_wanted to the maximum number of unique properties to save.
4. Set max_pages if you want to limit how many result pages are processed.
5. Optionally configure Apify Proxy in proxyConfiguration.
6. Start the run and open the dataset when it finishes.
7. Download the results or connect the dataset to your application or workflow.

The Actor stops when it reaches results_wanted, the source has no more results, or max_pages is reached. Duplicate properties are skipped during a run.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	Yes	None	Public Hostelworld city or search URL. Standard /hostels/ and /hotels/ URLs and search URLs with query parameters are supported.
results_wanted	Integer	No	20	Maximum number of unique properties to save.
max_pages	Integer	No	5	Maximum number of listing pages to process.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify Proxy settings for the run.

Pricing context

Prices and availability depend on the search context used by Hostelworld. If the source URL includes dates or guest information, the Actor uses those values when available. For a clean city URL without those values, the Actor uses its standard stay context and returns the price signals available for that search.

Usage Examples

Basic hostel city collection

Collect up to 20 properties from a standard Barcelona hostel page.

{
  "startUrl": "https://www.hostelworld.com/hostels/europe/spain/barcelona/",
  "results_wanted": 20,
  "max_pages": 5
}

Hotel listings from a city page

Use a Hostelworld hotel URL when you want the hotel listing view for a destination.

{
  "startUrl": "https://www.hostelworld.com/hotels/europe/france/paris/",
  "results_wanted": 50,
  "max_pages": 8
}

Date-specific search URL

Use a search URL with dates and guest information when you need price signals for a particular stay setup.

{
  "startUrl": "https://www.hostelworld.com/pwa/s?q=New%20York%2C%20USA&country=USA&city=New%20York&type=city&id=13&from=2026-10-16&to=2026-10-19&guests=2&page=1",
  "results_wanted": 40,
  "max_pages": 5
}

Larger destination dataset with Proxy

Increase the limits for a larger market and enable Apify Proxy when your workflow requires it.

{
  "startUrl": "https://www.hostelworld.com/hostels/asia/thailand/bangkok/",
  "results_wanted": 150,
  "max_pages": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

This example shows one dataset item. Optional fields are omitted when the source does not publish them.

{
  "property_id": "61557",
  "property_name": "St Christopher's Inn Barcelona",
  "property_type": "HOSTEL",
  "star_rating": 0,
  "address": "Carrer de Bergara, 3",
  "district": "Las Ramblas",
  "city": "Barcelona",
  "country": "Spain",
  "latitude": 41.3861073,
  "longitude": 2.16762,
  "distance_km": 0.22,
  "rating_overall": 85,
  "total_ratings": 15633,
  "rating_security": 90,
  "rating_location": 96,
  "rating_staff": 85,
  "rating_atmosphere": 82,
  "rating_cleanliness": 82,
  "rating_facilities": 80,
  "rating_value_for_money": 81,
  "price_from": "33.41",
  "price_currency": "USD",
  "lowest_dorm_price": "33.41",
  "lowest_private_price": "217.34",
  "free_cancellation": false,
  "is_promoted": true,
  "is_featured": false,
  "is_new": false,
  "very_popular": false,
  "property_url": "https://www.hostelworld.com/hostels/p/61557/st-christophers-inn-barcelona/",
  "search_url": "https://www.hostelworld.com/hostels/europe/spain/barcelona/"
}

Tips for best results

• Use a complete public URL - Copy a city or search URL directly from Hostelworld so the destination and any available stay context are preserved.
• Start with a small limit - Use results_wanted: 20 to confirm the destination and review the dataset before larger runs.
• Raise the page limit for large cities - A high results_wanted value may require a higher max_pages value.
• Keep search context consistent - Compare similar dates, guest counts, and URL types when measuring prices across destinations.
• Check optional fields - A missing description, image, room, price, or rating usually means the source did not publish that value for the listing.
• Review the dataset before scheduling - Public listing content and field availability can change, so inspect a sample run before creating a recurring schedule.

Integrations and export formats

Apify datasets can be downloaded or connected to tools used for reporting, automation, and applications.

Option	Useful for
JSON	Applications, data pipelines, and AI or RAG workflows.
CSV	Spreadsheet analysis and flat-file imports.
Excel	Travel reports and business analysis.
XML	Systems that require XML feeds.
Google Sheets	Shared destination and competitor reports.
Airtable	Searchable accommodation catalogs.
Webhooks	Notifying another service after a run completes.
Make or Zapier	No-code workflow automation.
Apify API	Starting runs and reading datasets programmatically.

Frequently Asked Questions

Does it work with both hotels and hostels?

Yes. The Actor accepts Hostelworld hotel URLs, hostel URLs, and mixed city listing URLs. Use property_type to identify the type returned for each listing.

Can it handle search URLs with query parameters?

Yes. Search-style URLs containing destination details, dates, guest counts, page values, or a direct city ID are supported when they resolve to a Hostelworld city search.

Can I collect every property in a city?

The Actor collects up to the results_wanted limit and processes no more than max_pages pages. To collect more properties, increase both values while keeping the run size practical.

Are prices guaranteed to be current booking prices?

No. Prices and availability can change after a run and depend on the dates, guests, currency, and other search context. Treat the returned values as the price signals shown for that search, not as a booking guarantee.

Why are some fields missing?

Hostelworld does not publish every field for every listing. Optional values are omitted when they are unavailable rather than replaced with made-up data.

Does the Actor return room-level availability?

The dataset can include room summaries and displayed prices when Hostelworld provides them. It is not a booking system and does not guarantee live inventory for a later checkout.

Can I schedule recurring Hostelworld data collection?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at a custom interval. You can send completed runs to a dataset, webhook, or integration.

Can I export Hostelworld data to CSV or Excel?

Yes. Apify datasets support CSV, Excel, JSON, XML, and other export formats available in Apify Console.

Is it legal to collect Hostelworld data?

Public web data collection can be subject to website terms, privacy requirements, and applicable laws. You are responsible for using the Actor lawfully, respecting Hostelworld rules, and handling the collected data responsibly.

Related Actors

• Hostelworld Reviews Scraper - Collect guest reviews, rating breakdowns, reviewer context, property details, and owner responses for Hostelworld properties.
• Booking.com Scraper - Collect hotel listings, prices, ratings, policies, and location data from another major accommodation marketplace for comparison workflows.

Support

For bugs, field requests, or source changes, use the Issues tab on the Actor page. Include the input URL, Apify run ID, and a short description of the missing or unexpected result.

Legal Notice

This Actor is intended for legitimate collection and analysis of publicly available Hostelworld listing information. You are responsible for complying with Hostelworld terms, applicable laws, privacy obligations, and any restrictions that apply to your intended use of the data.