Hostelworld Scraper - Hostels, Hotels, Prices, Reviews & Events

What Hostelworld Scraper can do

• Three ways in. Search a city by name (in any property type), paste property or city-search URLs, or give numeric property IDs. No URL building needed.
• One row, everything inside. Each property carries its card data plus optional full details, the room board with per-night prices, its guest reviews and its Linkups events.
• Reviews-only mode. Flip reviewsOnly and the dataset holds nothing but review rows, full text, per-category ratings, traveller details and owner replies.
• Linkups events. Pub crawls, city walks and meetups hosted at each property, inside a date window you control.
• Who's going. The traveller nationality mix heading to each property, as shown on the site.
• Sorted output. Re-order listings by price, rating, review count or name, the website's own order is preserved on request.

Choose what to collect

These inputs let you configure Hostelworld Scraper - Hostels, Hotels, Prices, Reviews & Events. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "type": "property",
  "propertyId": 703,
  "propertyName": "Circus Hostel",
  "propertyType": "HOSTEL",
  "propertyUrl": "https://www.hostelworld.com/hostels/p/703/circus-hostel/",
  "city": "Berlin",
  "country": "Germany",
  "addressFull": "Weinbergsweg 1a, 10119",
  "latitude": 52.530147,
  "longitude": 13.401918,
  "avgRating": 9.26,
  "numberReviews": 8087,
  "sharedMinPrice": 21.24,
  "privateMinPrice": 149.44,
  "currency": "EUR",
  "checkInFrom": 0,
  "latestCheckOut": "12:00",
  "facilities": [
    "Free WiFi",
    "Luggage Storage",
    "Self-Catering Kitchen"
  ],
  "rooms": [
    {
      "roomType": "4 Bed Mixed Dorm",
      "category": "dorms",
      "capacity": 4,
      "pricePerNight": 36.11
    }
  ],
  "reviewsCount": 20,
  "reviews": [
    {
      "review_reviewId": "16686493",
      "review_ratingOverall": 5.1,
      "review_reviewText": "…",
      "review_ownerReply": null
    }
  ],
  "eventsCount": 6,
  "events": [
    {
      "eventId": 5487030,
      "name": "BVG Crawl",
      "totalParticipants": 12
    }
  ],
  "peopleGoingCount": 30,
  "reviewsSummary": {
    "positiveCount": 251,
    "negativeCount": 5,
    "soloPercentage": 91.24
  },
  "scrapedAt": "2026-10-07T12:00:00+00:00"
}

Ways to use this data

• Hostel and hotel market research: track dorm and private prices, ratings and review volumes across cities and property types.
• Revenue and competitor monitoring: watch room boards, promotions and free-cancellation terms for a set of properties on a schedule.
• Guest-experience analysis: collect full review text with per-category ratings (staff, security, location, atmosphere, cleanliness, facilities, value) and owner replies.
• Event-led travel tools: surface Linkups events at hostels in the coming days, with participant counts.
• Travel apps and AI agents: feed clean JSON into your booking assistant, map app or MCP-connected workspace.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor