Hostelworld Reviews — Ratings & Text

What does Hostelworld Reviews Scraper do?

Scrape Hostelworld public reviews by property URL — rating scores, stay dates, room/group aggregates. Review body text is opt-in (includeReviewTexts, default off). Reviewer identities are never scraped. Export JSON or CSV via Apify API, schedule, or MCP.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Hostelworld Group. It reads public review listings only.

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.

Hostel research stack: a Hostelworld listings Actor in the same account discovers city-search prices (Store page after publish). Pair flight fares from Ryanair Fare Scraper or Wizz Air Fare Calendar Scraper.

Why use this Hostelworld reviews scraper?

• ⭐ Multi-category rating breakdowns without reviewer names
• 🏨 Property URL in → review rows out (hostelUrls + maxItems)
• 🔑 Drop-in input for easyapi/hostelworld-reviews-scraper (hostelUrls, maxItems)
• 🛡️ Reviewer nickname / user id / age / gender always null

How to scrape Hostelworld reviews

1. Open this Actor in Apify Console.
2. Click Start on the prefilled Tokyo hostel URL (maxItems 5). Review text stays off.
3. Paste more hostel details URLs with display=reviews. Leave stay dates out of the URL.
4. Turn on includeReviewTexts only if you need public review wording (identities still stripped).

{
  "hostelUrls": [
    "https://www.hostelworld.com/pwa/wds/hosteldetails.php/CITAN-Hostel/Tokyo/274237?display=reviews"
  ],
  "maxItems": 5,
  "includeReviewTexts": false
}

How much does it cost?

PPE: Actor start + each review result. About $4.29 / 1,000 on Free; lower on paid plans (see Pricing tab).

Input

Field	Description
hostelUrls	Hostelworld property detail URLs
maxItems	Cap on reviews per property (prefill 5)
includeReviewTexts	Default false — omit review body text
proxyConfiguration	Apify Proxy when needed

Sample output

Default run (includeReviewTexts false) — ratings and stay metadata, no body text, no identities:

{
  "hostelUrl": "https://www.hostelworld.com/pwa/wds/hosteldetails.php/CITAN-Hostel/Tokyo/274237?display=reviews",
  "id": "12345678",
  "date": "27 Jan 2026",
  "notes": null,
  "rating": { "value": 9 },
  "user": { "id": null, "nickname": null, "gender": null, "nationality": { "code": "US", "name": "USA" } },
  "groupInformation": { "age": null },
  "recommended": true
}

Related Actors

Actor	Use together when…
Hostelworld Listings Scraper	City search → hostel listing rows
Ryanair Fare Scraper	You build a flight + hostel trip panel
Wizz Air Fare Calendar Scraper	You add Wizz fare calendars to the same feed
Hostelworld Reviews Scraper	(this Actor) — property URLs → review rows

Profile: bakos_bence on Apify

Actor ID: bakos_bence/hostelworld-reviews

FAQ

Is this official Hostelworld software?

No. It is unofficial and not affiliated with Hostelworld Group.

Do you scrape reviewer names or photos?

No. User id, nickname, gender, image, and age are always null. includeReviewTexts only toggles public review wording.

Do I need a Hostelworld account?

No — public review listings only.

Something broke?

Open the Issues tab on this Actor’s page.

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).

SEO keywords

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