Hostelworld Listings — City Prices

What does Hostelworld Listings Scraper do?

Example: Hostelworld Listings — City Prices · Tokyo

Field	What you get
name	CITAN Hostel
starRating	0
url	https://www.hostelworld.com/pwa/wds/s/hostels/p/274237
searchUrl	https://www.hostelworld.com/pwa/wds/s
id	274237
overallRating	{overall: 95, numberOfRatings: 1803}
lowestPricePerNight	20.47 EUR
lowestAveragePricePerNight	21.19 EUR
location	{latitude: 35.691571, longitude: 139.781352, address1: 15-2 Nihonbash...
propertyInfo	{type: HOSTEL, isNew: false}
city	{id: 452, name: Tokyo}
scrapedAt	2026-08-27T12:00:00+00:00
imageUrl	when available
ratingBreakdown	when available
lowestDormPricePerNight	when available
lowestPrivatePricePerNight	when available
country	when available
facilities	when available
freeCancellationAvailable	when available

Press Start. The example is already filled in.

Scrape Hostelworld hostel listings from public city search URLs — names, ratings, prices with currency, facilities, districts, coordinates, and detail URLs. Export JSON or CSV, schedule runs, or call via API / MCP.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Hostelworld Group. It reads public city-search listing data only.

Travel panel: pair with Ryanair Fare Scraper and Wizz Air Fare Calendar Scraper for multi-source trip research. A Hostelworld reviews Actor lives in the same account (publish pending).

Why use this Hostelworld scraper?

• 🏨 City search URLs (prefer &id= city id)
• 💶 Nightly prices kept with currency
• ⭐ Overall and category rating breakdowns
• 📍 Lat/lon, address, district, property type
• 🔑 Input aligned with easyapi/hostelworld-listings-scraper for easy migration

Fill the form (first run)

1. Open this Actor in Apify Console — Tokyo and 5 hostels are already filled.
2. Click Start to see sample rows, or choose another city from the list (or type any city Hostelworld knows).
3. Check-in dates: you do not enter them. The run uses upcoming nights (~two weeks out). If you paste search links with old from/to dates, they are bumped forward automatically.
4. Show prices in: pick EUR, USD, GBP, etc. if you want a specific currency on each nightly price.
5. Leave Proxy on the default — the Actor manages connection settings.
6. Export the dataset or pull via API when the run finishes.

How to scrape Hostelworld listings

Same steps as above. Use Hostelworld search links only when you need an exact URL from your browser; those links override the city field.

{
  "city": "Tokyo",
  "maxItems": 5,
  "currency": "EUR"
}

How much does it cost?

PPE: Actor start + each hostel result. About $2.49 / 1,000 on Free; lower on paid plans (see Pricing tab).

Input

Field	Description
city	Destination city — suggestions for popular backpacker cities, or type any name. Prefill Tokyo; enough on its own
searchUrls	Optional Hostelworld search URLs; when set, override city. Dates in links optional or auto-corrected
maxItems	How many hostels (prefill 5 for a cheap first run)
currency	Show prices in — ISO code (EUR, USD, GBP, …)
proxyConfiguration	Leave default — managed by the Actor

Sample output

{
  "id": 274237,
  "name": "CITAN Hostel",
  "url": "https://www.hostelworld.com/pwa/wds/s/hostels/p/274237",
  "starRating": 0,
  "overallRating": { "overall": 95, "numberOfRatings": "1803" },
  "lowestPricePerNight": { "value": "20.47", "currency": "EUR" },
  "lowestAveragePricePerNight": { "value": "21.19", "currency": "EUR" },
  "location": {
    "latitude": 35.691571,
    "longitude": 139.781352,
    "address1": "15-2 Nihonbashi Odenmachou",
    "district": "Chuo City"
  },
  "propertyInfo": { "type": "HOSTEL", "isNew": false },
  "city": { "id": 452, "name": "Tokyo" },
  "searchUrl": "https://www.hostelworld.com/pwa/wds/s?q=Tokyo,%20Japan&type=city&id=452&guests=2&page=1",
  "scrapedAt": "2026-08-27T12:00:00+00:00"
}

Related Actors

Actor	Use together when…
Ryanair Fare Scraper	You add LCC flight fares next to hostel nights
Wizz Air Fare Calendar Scraper	You cover Wizz priced day calendars in the same trip panel
Hostelworld Reviews Scraper	Review text for shortlisted properties
Hostelworld Listings Scraper	(this Actor) — city search → hostel listing rows

Profile: bakos_bence on Apify

Actor ID: bakos_bence/hostelworld-listings

FAQ

Is this official Hostelworld software?

No. It is unofficial and not affiliated with Hostelworld Group. It reads public city-search listing data only.

Do I need a Hostelworld account?

No — public city search listings only. No login.

Dates in my search URL are in the past?

Leave from/to out, or keep them: past stay dates slide forward about two weeks so Store health never expires.

Something broke?

Open the Issues tab on this Actor’s page.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

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