Hostelworld Reviews Scraper

Scrape detailed traveler reviews from Hostelworld.com listings to collect ratings, feedback, and reviewer demographics.

Overview

This actor extracts structured review data from Hostelworld hostel pages. You provide one or more hostel review page URLs, and it returns a dataset containing individual reviews with ratings, text, and reviewer information. It's useful for market research, competitor analysis, or monitoring customer satisfaction in the hostel industry.

Key Features

• Multi-URL scraping: Process multiple hostel review page URLs in a single run.
• Detailed ratings: Extracts overall and category-specific scores (safety, location, staff, atmosphere, cleanliness, facilities).
• Reviewer metadata: Captures reviewer nationality, age group, trip type, and group travel information.
• Customizable limits: Optionally set a maximum number of reviews to collect per run.
• Proxy support: Includes configuration options for reliable data fetching.
• Structured output: Returns clean, consistent JSON data for each review.

How to Use

Configure the actor run with input parameters. The only required parameter is hostelUrls.

Input Parameters

• hostelUrls (required): An array of Hostelworld review page URLs.
  • Example: ["https://www.hostelworld.com/pwa/wds/hosteldetails.php/CITAN-Hostel/Tokyo/274237?display=reviews"]
• maxItems (optional): An integer to limit the total number of reviews scraped.
• proxyConfiguration (optional): Settings for using proxy servers.

Input Example:

{
  "hostelUrls": [
    "https://www.hostelworld.com/pwa/wds/hosteldetails.php/CITAN-Hostel/Tokyo/274237?display=reviews"
  ],
  "maxItems": 50
}

Output

The results are saved to the dataset in your Apify run storage. Each item in the dataset represents one review and contains the following structure:

{
  "hostelUrl": "https://www.hostelworld.com/...",
  "id": "15755800",
  "date": "2025-02-24",
  "notes": "Great hostel …",
  "isMachineTranslated": true,
  "languageCode": "en",
  "ownerComment": null,
  "groupInformation": {
    "groupTypeCode": "FEMALE",
    "age": "31-40",
    "tripTypeCodes": ["WEEKENDAWAY"]
  },
  "rating": {
    "value": 100,
    "safety": 100,
    "location": 100,
    "staff": 100,
    "atmosphere": 100,
    "cleanliness": 100,
    "facilities": 100,
    "overall": 100
  },
  "user": {
    "id": 36907433,
    "gender": null,
    "nationality": { "code": "US", "name": "USA" },
    "image": null,
    "nickname": "sarapower893130",
    "numberOfReviews": "19"
  },
  "liked": null,
  "disliked": null,
  "recommended": null
}

You can download this data from the Storage tab in multiple formats: JSON, JSONL, Excel, CSV, HTML, or XML.

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