Hostelworld Scraper - Hostel Dorm & Room Prices

Hostelworld Scraper prices hostels on Hostelworld for your dates. For every dorm and private room it returns the price per night, beds left, capacity, ensuite flag and rate plans, plus the hostel's deposit percentage and whether free cancellation is available. Use it to benchmark hostel prices in a city, monitor competitors, or power a budget-travel app. Pricing is pay-per-event: $0.018 per rates request; failed requests are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this Hostelworld scraper do?

• Dorms and private rooms with price, beds available, capacity and ensuite flag.
• Every rate plan per room.
• Deposit percentage and free cancellation availability.
• Any stay of 1-30 nights and 1-8 guests (beds for dorms, occupancy for privates).
• Batch many hostels in one run.

Use cases for Hostelworld data

• Hostel operators: Benchmark dorm and private-room prices against hostels in your city.
• Budget-travel apps: Show live hostel prices, beds left and cancellation terms.
• Travel researchers: Compare hostel prices across cities and seasons.

What Hostelworld data can you extract?

Field	Description
property.price_per_night / currency	Cheapest nightly price and currency
property.rooms[].name / room_type / basic_type	Room (dorm or private)
property.rooms[].beds_available / capacity / ensuite	Availability and room details
property.rooms[].rate_plans	Rate plans with prices
property.deposit_percentage / free_cancellation_available	Booking terms
meta.dorms_count / privates_count	Room counts

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape Hostelworld prices

1. Open Hostelworld Scraper in Apify Console and go to the Input tab.
2. Enter Hostelworld property ids (the number in the hostel URL), a check-in date and the number of guests.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "propertyIds": [
    "88047"
  ],
  "check_in": "30 days",
  "nights": 2,
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "endpoint": "/v1/ota/hostelworld",
  "input": {
    "property_id": "88047",
    "check_in": "2026-10-31"
  },
  "meta": {
    "comparable_across_markets": false,
    "dorms_count": 8,
    "elapsed_s": 0.284,
    "nights": 1,
    "privates_count": 4,
    "source": "hostelworld"
  },
  "property": {
    "availability": "available",
    "currency": "GBP",
    "deposit_percentage": 15,
    "free_cancellation_available": true,
    "is_soldout": false,
    "price_per_night": 52.9,
    "property_id": "88047",
    "provenance": {
      "collection_id": "ratecol_0123456789abcdef0123456789abcdef",
      "derivation": "normalized_upstream",
      "observation_id": "rateobs_0123456789abcdef0123456789abcdef",
      "observed_at": "2026-08-07T01:23:45.678Z",
      "price_basis": "room_base_before_taxes_and_fees",
      "requested_currency": "USD",
      "requested_market": "US",
      "returned_currency": "USD",
      "schema_version": 1,
      "source": "hostelworld",
      "source_kind": "ota_rate_plan",
      "source_property_id": "ChUIoben2Mv6-CYaCi9tLzA3czVwbjQQAQ",
      "upstream_rate_id": null
    },
    "rooms": [
      {
        "basic_type": "Mixed Dorm",
        "beds_available": 42,
        "capacity": 8,
        "ensuite": true,
        "name": "8 Bed Mixed Dorm Ensuite",
        "rate_plans": [
          {
            "currency": "GBP",
            "is_default": true,
            "meal_plan": null,
            "min_nights": 1,
            "original_price": 66.13,
            "payment_label": "Deposit only",
            "payment_procedure": "depositPayable",
            "price": 52.9,
            "rate_category": "unknown",
            "rate_category_source": null,
            "rate_code": "151291",
            "rate_code_scope": "room",
            "rate_plan_id": 151291,
            "rate_plan_type": "STANDARD",
            "refundable": null
          }
        ],
        "room_id": 383266,
        "room_type": "dorm"
      }
    ],
    "sold_out": false
  },
  "search_parameters": {
    "check_in_date": "2026-10-10",
    "check_out_date": "2026-10-11",
    "engine": "hostelworld_property",
    "guests": 1,
    "property_id": "88047"
  },
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape Hostelworld prices?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
rates-request	One hostel priced for one stay: every dorm and private room with rate plans.	$0.018	$18.00

These prices apply from November 5, 2026, after Apify's 14-day notice of a price change; until then runs are charged the previous prices shown on the Pricing tab.

For example, 1,000 requests in the default mode cost $18.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

What does "guests" mean for dorms?

For dorms it is the number of beds you need; for private rooms it is the room occupancy.

Is it legal to scrape Hostelworld prices?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/hostelworld-rates-scraper').call({
    "propertyIds": [
        "88047"
    ],
    "check_in": "30 days"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/hostelworld-rates-scraper").call(run_input={
    "propertyIds": ["88047"],
    "check_in": "30 days",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Booking.com Price Scraper: hotel prices on Booking.com
• Airbnb Scraper: shared and private rooms on Airbnb

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.