Serviced apartment rate monitoring: long-stay prices by length of stay

Property and operator

Operator, building, address and city district; corporate clients choose by location first.

Unit type

Studio, one-bed, two-bed; size in square metres; full kitchen or kitchenette.

Length of stay

The nights searched. Every price is tied to one band.

Total and derived rates

Total for the stay as shown, plus derived nightly and 30-day figures computed by you.

VAT display

Shown with or without VAT, and whether a long-stay VAT treatment is stated.

Service level

Cleaning frequency, linen change, utilities, Wi-Fi, laundry, parking, each included or extra.

Terms

Minimum stay, deposit, notice or cancellation period, and pet policy.

Online bookability

Bookable online, on request only, or not available for that band.

1. 01

   Choose stay bands and start dates

   Pick the bands your clients book (often 7, 28 and 90 nights) and a few start dates per month. Long stays overlap, so six start dates a month is usually enough to see movement.

2. 02

   Shop each band on one exit

   Hold one sticky session per property and band, so search, unit list and price summary are the same visitor.

   Length-of-stay bands for one property18 linescopy

   import secrets, requestsBASE = "USERNAME_pool-arcfast_country-de".split("_country-")[0]def proxy(country: str, city: str | None = None) -> dict:    user = f"{BASE}_country-{country}" + (f"_city-{city}" if city else "")    user += f"_session-{secrets.token_hex(4)}_sesstime-10"    url = f"http://{user}:PASSWORD@proxy.arcproxies.io:8000"    return {"http": url, "https": url}BANDS = (7, 28, 29, 90)   # 28 vs 29 shows the UK long-stay VAT stepdef shop(property_url: str, checkin: str, country: str = "gb", city: str | None = "london"):    for nights in BANDS:        with requests.Session() as s:            s.proxies = proxy(country, city)            r = s.get(property_url, params={"checkin": checkin, "nights": nights, "guests": 1}, timeout=30)            yield nights, r.status_code, r.text

3. 03

   Normalise and label

   Compute total, nightly and 30-day figures from the shown price, state the VAT basis, and attach the service-level fields. Never compare a 7-night nightly rate with a 90-night one without the band beside it.

4. 04

   Feed housing decisions

   Relocation and claims-housing teams use the series to set per-city budgets and to check supplier quotes against public prices for the same band and district.

http://USERNAME_pool-arcfast_country-gb_city-london_session-k3f9a1x2_sesstime-10:PASSWORD@proxy.arcproxies.io:8000

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