Hostelworld Reviews Scraper

Extract comprehensive, structured reviews from any Hostelworld property — in seconds. Get detailed guest feedback, full rating breakdowns, reviewer demographics, and property pricing data at scale. No setup or technical knowledge required.

Features

• Direct URL scraping — Paste any Hostelworld property URL and get reviews instantly
• Rich rating breakdown — Safety, location, staff, atmosphere, cleanliness, facilities, and value-for-money scores
• Full reviewer profiles — Nationality, age group, traveler type, trip purpose, and review history
• Property pricing included — Starting price per night in USD alongside every review
• Duplicate-free output — Each review is returned only once, even across large paginated runs
• All languages supported — Collects reviews in every language with machine-translation flag
• Owner responses included — See how management replied to each review
• Fast and lightweight — Collects 20 reviews in under 5 seconds

Use Cases

Hospitality Market Research

Analyze guest sentiment across top hostels in any city. Compare safety, staff, and cleanliness scores, identify what travelers value most, and benchmark your property against competitors.

Travel & Tourism Intelligence

Build datasets of traveler reviews for booking trend analysis, seasonal preference mapping, and demographic targeting. Ideal for travel apps, guides, and tourism boards.

Review Aggregation & Monitoring

Continuously monitor reviews for specific properties. Track rating changes over time, spot service issues early, and measure the impact of improvements on guest satisfaction scores.

Pricing & Competitor Intelligence

Collect nightly price data alongside reviews to correlate guest satisfaction scores with pricing. Understand how value-for-money ratings shift across price tiers.

Academic & Business Research

Compile large-scale hostel review datasets for NLP research, sentiment analysis, and hospitality management studies. Structured JSON output integrates directly into data pipelines and ML models.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Full Hostelworld property URL (e.g. https://www.hostelworld.com/hostels/p/1279/itaca-hostel/)
results_wanted	Integer	No	20	Maximum number of reviews to collect
max_pages	Integer	No	10	Safety cap on review pages per property
sortBy	String	No	-date	Sort order: -date (newest), date (oldest), -rating (highest), rating (lowest)
proxyConfiguration	Object	No	—	Proxy settings for reliable access

Tip: If no URL is provided, the actor uses a built-in example property (Itaca Hostel, Barcelona) — perfect for testing without any configuration.

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Output Data

Each item in the dataset contains 31 fields:

Review Fields

Field	Type	Description
review_id	String	Unique review identifier
review_date	String	Date review was submitted (YYYY-MM-DD)
review_text	String	Reviewer's written comment
language_code	String	Original review language (e.g. en, de, fr)
is_machine_translated	Boolean	Whether the review was machine-translated
owner_comment	String	Property owner's response (if any)

Rating Fields

Field	Type	Description
rating_overall	Number	Overall score (0–100)
rating_safety	Number	Safety score (0–100)
rating_location	Number	Location score (0–100)
rating_staff	Number	Staff score (0–100)
rating_atmosphere	Number	Atmosphere score (0–100)
rating_cleanliness	Number	Cleanliness score (0–100)
rating_facilities	Number	Facilities score (0–100)

Reviewer Fields

Field	Type	Description
reviewer_id	Number	Reviewer's unique user ID
reviewer_nickname	String	Reviewer's display name
reviewer_nationality	String	Reviewer's country of origin
reviewer_nationality_code	String	ISO country code (e.g. US, DE)
reviewer_total_reviews	Number	Total reviews this user has written
reviewer_gender	String	Reviewer gender (when provided)

Trip Context Fields

Field	Type	Description
traveler_type	String	Group type (MALE, FEMALE, MIXED)
traveler_age_group	String	Age bracket (e.g. 18-24, 31-40)
trip_type	String	Trip purpose (REGULARVACATION, WEEKENDAWAY, etc.)

Property Fields

Field	Type	Description
property_id	String	Hostelworld property ID
property_name	String	Hostel name
property_url	String	Property page URL
property_city	String	City
property_country	String	Country
property_overall_rating	Number	Property's aggregate rating (0–100)
property_value_for_money	Number	Value-for-money rating (0–100)
property_security_rating	Number	Security rating (0–100)
property_total_reviews	String	Total review count for the property
property_price_from_usd	String	Lowest nightly price in USD

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Usage Examples

Scrape the 50 Most Recent Reviews

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

Collect the Highest-Rated Reviews

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

Large-Scale Collection with Proxy

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

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Sample Output

{
    "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"
}

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Supported URL Formats

The actor works with any Hostelworld property URL format:

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

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Tips for Best Results

Use Direct Property URLs

Copy the URL directly from your browser's address bar when viewing a Hostelworld property page. This is the fastest and most reliable approach.

Optimize Collection Size

Start with results_wanted: 20 for testing, then scale up for production. Review counts per property are shown in property_total_reviews.

Proxy for High-Volume Runs

For collecting hundreds of reviews, enable Apify Proxy:

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["DATACENTER"]
    }
}

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Integrations

Connect your review data directly to:

• Google Sheets — Share and analyze in spreadsheets
• Airtable — Build searchable review databases
• Make (Integromat) — Automate review monitoring workflows
• Zapier — Trigger actions when new reviews are collected
• Webhooks — Stream data to custom endpoints
• Slack — Receive review alerts in real time

Export Formats

Download collected data as:

• JSON — For developers and data pipelines
• CSV — For spreadsheet and BI tools
• Excel — For business reporting
• XML — For system integrations

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Frequently Asked Questions

How many reviews can I collect?

You can collect all available reviews for any property. Set results_wanted to the property's total review count (visible in property_total_reviews in the output).

What Hostelworld URL formats are supported?

All standard Hostelworld property URLs are supported. See the Supported URL Formats table above.

What does is_machine_translated mean?

Hostelworld auto-translates reviews from other languages into English. This field indicates when a review has been translated, letting you filter to original-language reviews if needed.

Why is owner_comment null on some reviews?

Property owners can choose to respond to reviews — many don't. A null value accurately reflects that no response was posted.

Why does reviewer_gender not appear on all reviews?

Gender is an optional field that reviewers may not have set in their profile. The field is only included in the output when the API provides it.

Can I collect all reviews for a property?

Yes. Set results_wanted to a large number (e.g. 10000) and max_pages to a high value. The actor automatically stops when all reviews have been collected.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection and analysis purposes. Users are responsible for ensuring compliance with Hostelworld's terms of service and applicable privacy laws. Collected data should be used responsibly and not for unauthorized commercial exploitation of Hostelworld's content.