Meeting and event venue data: capacities, packages and room rates for event dates

Venue identity

Name, type (congress centre, conference hotel, event location), address, distance to transport.

Meeting rooms

Room name, size in square metres, ceiling height, daylight, divisibility.

Capacity by set-up

Theatre, classroom, banquet, reception, U-shape, each as its own number.

Published packages

Day-delegate or half-day rates where published, with what each includes.

Bedrooms on site

Number of bedrooms for conference hotels, and accessible rooms.

Hotel rates for event dates

Public rates of nearby hotels for the event nights, as a room-block benchmark.

Sustainability and accessibility

Certifications and step-free access as stated, increasingly part of association RFPs.

1. 01

   Build the venue register

   Collect venue listings from venue sites and public directories in your target cities, and deduplicate them into one record per venue.

2. 02

   Extract rooms and set-ups

   Parse capacity charts into one row per room and set-up. Many venues publish them as tables or downloadable fact sheets; keep the source document URL.

3. 03

   Price the event nights

   For each candidate city and date range, shop public rates for hotels near the shortlisted venues, from the attendees' main markets.

   Public room rates near a venue for the event nights19 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}def event_rates(hotel_urls: list[str], checkin: str, nights: int, market: str):    for url in hotel_urls:        with requests.Session() as s:            s.proxies = proxy(market)            r = s.get(url, params={"checkin": checkin, "nights": nights, "adults": 1}, timeout=30)            yield url, r.status_code, r.text# attendees mostly from the UK, event in Berlinrows = list(event_rates(["https://hotel.example/berlin-messe"], "2027-03-08", 3, "gb"))

4. 04

   Score the shortlist

   Rank venues on fit (capacity per set-up, breakout rooms), published package value, and the median public hotel rate within walking distance on the event nights, collected with the hotel rate shopping method.

http://USERNAME_pool-arcfast_country-gb_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.