Hostelworld Reviews Scraper

What does Hostelworld Reviews Scraper do?

Hostelworld Reviews Scraper is a Hostelworld review data extractor for collecting structured guest feedback from any public Hostelworld property page. Provide a direct property URL and receive review text, dates, language information, guest ratings, reviewer context, owner responses, property details, and the current starting nightly price in USD.

Use the dataset for hostel reputation monitoring, hospitality market research, competitor benchmarking, sentiment analysis, travel content, and academic research. The Actor collects reviews in all available languages and marks records that Hostelworld identifies as machine translated.

Why use Hostelworld Reviews Scraper?

• Monitor guest satisfaction - Track overall scores and category ratings for safety, location, staff, atmosphere, cleanliness, and facilities.
• Compare hostel performance - Build comparable datasets across properties, cities, countries, and price levels.
• Analyze traveler feedback - Search and classify review text by language, age group, traveler type, trip purpose, and nationality.
• Review management responses - Include the property owner's response when one has been published.
• Support pricing research - Connect property-level ratings and review sentiment with the lowest nightly price in USD.
• Create repeatable datasets - Run on demand or schedule recurring collections through Apify.
• Export and automate - Download JSON, CSV, Excel, or XML data, or connect completed runs to your own workflow.

What data can you extract from Hostelworld?

Each dataset item represents one review and includes the review, rating, reviewer, trip, and property context available for that record.

Review fields

Field	Type	Description
review_id	String	Unique review identifier.
review_date	String	Date the review was submitted in YYYY-MM-DD format.
review_text	String	Written comment from the guest.
language_code	String	Original review language code, such as en, de, or fr.
is_machine_translated	Boolean	Whether the review was machine translated by Hostelworld.
owner_comment	String	Property owner's response, when available.

Rating fields

Field	Type	Description
rating_overall	Number	Overall score assigned to the review, from 0 to 100.
rating_safety	Number	Safety score, from 0 to 100.
rating_location	Number	Location score, from 0 to 100.
rating_staff	Number	Staff score, from 0 to 100.
rating_atmosphere	Number	Atmosphere score, from 0 to 100.
rating_cleanliness	Number	Cleanliness score, from 0 to 100.
rating_facilities	Number	Facilities score, from 0 to 100.

Reviewer and trip fields

Field	Type	Description
reviewer_id	Number	Reviewer's unique user ID, when available.
reviewer_nickname	String	Reviewer's display name.
reviewer_nationality	String	Reviewer's country of origin.
reviewer_nationality_code	String	ISO country code, such as US or DE.
reviewer_total_reviews	Number	Total number of reviews written by the user.
reviewer_gender	String	Reviewer gender when published by the source. This field is omitted when unavailable.
traveler_type	String	Group type, such as MALE, FEMALE, or MIXED.
traveler_age_group	String	Reviewer's age bracket, such as 18-24 or 31-40.
trip_type	String	Trip purpose, such as REGULARVACATION or WEEKENDAWAY.

Property fields

Field	Type	Description
property_id	String	Hostelworld property ID.
property_name	String	Hostel name.
property_url	String	Canonical Hostelworld property page URL.
property_city	String	City where the property is located.
property_country	String	Country where the property is located.
property_overall_rating	Number	Property aggregate rating, from 0 to 100.
property_value_for_money	Number	Property value-for-money rating, from 0 to 100.
property_security_rating	Number	Property security rating, from 0 to 100.
property_total_reviews	String	Total review count reported for the property.
property_price_from_usd	String	Lowest nightly price in USD reported for the property.

How to scrape Hostelworld reviews

1. Open Hostelworld Reviews Scraper in Apify Console.
2. Paste a public Hostelworld property URL into startUrl.
3. Choose the maximum number of reviews with results_wanted.
4. Select the review order with sortBy and adjust max_pages when needed.
5. Start the run and inspect the dataset preview.
6. Download the results or connect the dataset to your reporting, monitoring, or analysis workflow.

The startUrl field is optional. If it is left empty, the Actor uses Itaca Hostel in Barcelona as its built-in example property, which is useful for testing the output format.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Itaca Hostel example when empty	Full URL of a specific Hostelworld property page.
results_wanted	Integer	No	20	Maximum number of unique reviews to save in the run. Minimum value is 1.
max_pages	Integer	No	10	Maximum number of review pages to process for the property. Minimum value is 1.
sortBy	Enum	No	-date	Review order. Supported values are -date, date, -rating, and rating.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify Proxy configuration for larger or recurring runs.

sortBy values

Value	Meaning
-date	Newest reviews first.
date	Oldest reviews first.
-rating	Highest-rated reviews first.
rating	Lowest-rated reviews first.

Supported Hostelworld URL formats

The Actor accepts common Hostelworld property URL formats, including:

Format	Example
Standard property URL	https://www.hostelworld.com/hostels/p/1279/itaca-hostel/
Legacy property slug	https://www.hostelworld.com/hostels/City/Name--1279/
PWA property path	https://www.hostelworld.com/pwa/hostelworld/properties/1279/

Usage Examples

Collect the most recent reviews

Collect up to 50 newest reviews from Itaca Hostel in Barcelona.

{
    "startUrl": "https://www.hostelworld.com/hostels/p/1279/itaca-hostel/",
    "results_wanted": 50,
    "sortBy": "-date"
}

Collect the highest-rated reviews

Return up to 30 of the highest-rated reviews while limiting the run to five pages.

{
    "startUrl": "https://www.hostelworld.com/hostels/p/1279/itaca-hostel/",
    "results_wanted": 30,
    "sortBy": "-rating",
    "max_pages": 5
}

Run a larger collection with Apify Proxy

Collect a larger review sample from Generator Hostel Berlin with optional datacenter proxy routing.

{
    "startUrl": "https://www.hostelworld.com/hostels/p/6764/generator-hostel-berlin/",
    "results_wanted": 200,
    "max_pages": 25,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["DATACENTER"]
    }
}

Sample Output

The following example shows one review item. Optional fields such as reviewer_gender and owner_comment may be absent or empty when the source does not publish them.

{
    "review_id": "16428596",
    "review_date": "2026-04-04",
    "review_text": "L'hostel était vraiment excellent, superbe accueil, superbe personnel, emplacement au top.",
    "language_code": "fr",
    "is_machine_translated": true,
    "owner_comment": "Salut, merci beaucoup pour ton avis ! Si tu décides de revenir à Barcelone, n'hésite pas !",
    "rating_overall": 100,
    "rating_safety": 100,
    "rating_location": 100,
    "rating_staff": 100,
    "rating_atmosphere": 100,
    "rating_cleanliness": 100,
    "rating_facilities": 100,
    "reviewer_id": 41926893,
    "reviewer_nickname": "aXgrxkQ2S4eK18Kh",
    "reviewer_nationality": "French Polynesia",
    "reviewer_nationality_code": "PF",
    "reviewer_total_reviews": 1,
    "reviewer_gender": "Female",
    "traveler_type": "MALE",
    "traveler_age_group": "18-24",
    "trip_type": "WEEKENDAWAY",
    "property_id": "1279",
    "property_name": "Itaca Hostel",
    "property_url": "https://www.hostelworld.com/hostels/p/1279/itaca-hostel/",
    "property_city": "Barcelona",
    "property_country": "Spain",
    "property_overall_rating": 95,
    "property_value_for_money": 94,
    "property_security_rating": 96,
    "property_total_reviews": "4703",
    "property_price_from_usd": "29.15"
}

Tips for best results

• Use a direct property URL - Copy the complete URL from the Hostelworld property page rather than a city search page.
• Start with a small limit - Use results_wanted: 20 to confirm the property and output before increasing the collection size.
• Raise the page limit with the result limit - Increase max_pages when requesting hundreds or thousands of reviews.
• Choose the right sort order - Use -date for reputation monitoring, -rating for positive-feedback research, or rating to investigate lower-scoring experiences.
• Enable proxy routing for larger runs - Apify Proxy can help with high-volume or recurring collections.
• Expect source-dependent fields - Some guests do not publish nationality, age, gender, trip details, or owner responses. Missing values usually reflect the source record.
• Review scheduled snapshots - Public property pages and review counts can change. Compare new datasets with earlier runs when monitoring a hostel over time.

Integrations and export formats

• Google Sheets - Share review summaries, compare properties, and prepare reports.
• Airtable - Build a searchable hospitality feedback database.
• Make or Zapier - Automate alerts, sentiment workflows, and recurring reports.
• Webhooks - Notify another service when a run finishes.
• Slack - Send review-monitoring notifications to a team channel.
• Apify API - Start runs and retrieve dataset items from your own application.

Format	Useful for
JSON	Applications, analysis scripts, and data pipelines.
CSV	Spreadsheet analysis and bulk imports.
Excel	Business reporting and sharing.
XML	Structured system integrations.

Frequently Asked Questions

How many reviews can I collect in one run?

You can request any positive results_wanted value. The final count is limited by the number of available reviews and the max_pages setting.

Can I collect all reviews for a Hostelworld property?

Yes. Set results_wanted and max_pages high enough for the property. The Actor stops when it reaches the requested limit, reaches the source's final page, or reaches the page cap.

What does is_machine_translated mean?

is_machine_translated indicates that Hostelworld marked the review as translated. Use language_code with this field when you need to separate original-language reviews from translated content.

Why is owner_comment empty for some reviews?

Owner responses are optional. An empty or missing owner_comment means that no response was published for that review.

Why are some reviewer fields missing?

Reviewer fields depend on the information published by the guest and the source. Nationality, age group, gender, trip type, and review history are not available for every review.

What happens when a review has no text?

The Actor can still save a review when it has a rating. Records with neither review text nor a rating are skipped because they do not provide useful review information.

Can I run the Actor on a schedule?

Yes. Create an Apify schedule to collect updated reviews hourly, daily, weekly, or at a custom interval.

Can I export Hostelworld reviews to CSV or Excel?

Yes. Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats.

Is it legal to collect Hostelworld reviews?

Public review collection may be subject to Hostelworld's terms, applicable laws, privacy requirements, and restrictions on storing or redistributing user-generated content. You are responsible for using the Actor lawfully and handling reviewer information appropriately.

Related Actors

• Hostelworld Hotels Scraper - Collect Hostelworld property listings with prices, ratings, facilities, rooms, and location data.
• Booking.com Reviews Scraper - Collect structured guest reviews and hotel responses from Booking.com property pages.
• TripAdvisor Reviews Scraper - Gather hotel reviews, ratings, traveler context, and management responses from TripAdvisor.

Support

For setup questions, feature requests, or reports that a Hostelworld page has changed, use the Issues tab on the Actor page. Include the input URL, run ID, and a short description of the behavior or fields you expected.

Legal Notice

This Actor is intended for legitimate hospitality research, reputation monitoring, analytics, and other responsible uses of publicly available information. Users are responsible for complying with Hostelworld's terms of service, applicable laws, privacy requirements, and any restrictions on collecting, storing, analyzing, or redistributing review content.