Hostel price monitoring: dorm beds and private rooms per night and market

Hostel and channel

Your hostel ID and where the price came from: own site, a hostel platform, a general OTA.

Bed type

Dorm size, mixed or female-only, ensuite or shared bathroom; or private room with its capacity.

Beds requested

One bed or a group size. Prices and availability differ by the count you ask for.

Price per bed per night

As shown, plus the total for the stay. Never divide a private room's price by its capacity without saying so.

Deposit and balance

Online deposit, balance due at the hostel and the currency of each.

Mandatory extras

City tax, linen, key deposit, breakfast if compulsory, each with its basis.

Availability status

Available, minimum stay not met, not enough beds, sold out, or not retrieved.

Point of sale and timestamp

Exit country and collection time, so you can compare markets and days.

1. 01

   Define the bed panel

   For each hostel, pick the bed types you price against: usually the cheapest large dorm, a small dorm, a female-only dorm and a private double. Freeze the mapping per hostel.

2. 02

   Shop one bed and one group

   Run a one-bed series for every date and a smaller group series (four beds) for weekends and holidays. Use one session per hostel and date.

   One bed and four beds for the same hostel and night19 linescopy

   import secrets, requestsBASE = "USERNAME_pool-arcfast_country-de".split("_country-")[0]   # USERNAME_pool-arcfastdef proxy(country: str) -> dict:    user = f"{BASE}_country-{country}_session-{secrets.token_hex(4)}_sesstime-5"    url = f"http://{user}:PASSWORD@proxy.arcproxies.io:8000"    return {"http": url, "https": url}def beds(hostel_url: str, date: str, guests: int, country: str) -> str:    with requests.Session() as s:        s.proxies = proxy(country)        r = s.get(hostel_url, params={"date_from": date, "nights": 1, "guests": guests}, timeout=30)        r.raise_for_status()        return r.textfor guests in (1, 4):    html = beds("https://hostel.example/amsterdam-central", "2026-11-13", guests, "gb")    # parse: bed type, price per bed, deposit, balance, extras, status

3. 03

   Normalise to price per bed per night

   Convert to one currency, add mandatory extras with their basis, and keep the city tax separate. For private rooms, store the room price and the capacity; derive a per-person figure only in the analysis layer.

4. 04

   Compare like for like

   Compare the cheapest large dorm with the cheapest large dorm, not with whatever is cheapest that night. Report gaps per bed type and per day of week.

Prices are list prices in EUR, excl. VAT. Volume discounts apply automatically at checkout — full ladder on the pricing page.