Airport duty-free and retail price monitoring

Airport, terminal and outlet

Prices and ranges differ by terminal and operator.

Destination or tax status

Duty-free, duty-paid or tax-free changes the price of the same item.

Product, brand, size and retailer code

Matching key across airports and against domestic retail.

Shelf price and pre-order price

Reserve-and-collect discounts are part of the pricing strategy.

Promotion and multi-buy

'Two for' and spend thresholds change the effective unit price.

Domestic reference price

The comparison passengers and journalists actually make.

F&B item price per outlet

Menu price levels by terminal and against city-centre benchmarks.

Currency and observation time

Airports often price in local currency only; keep the raw amount.

1. 01

   Map the shops per airport

   List the pre-order site, the store locator and the F&B outlet pages per airport and terminal. Many airports use one operator's shop platform, which means one parser covers several airports.

2. 02

   Fix the destination per run

   For each airport, run the catalogue once per tax status you report: for example an EU destination and a non-EU destination where that changes the price. Store the choice with every row.

   One catalogue sweep per airport and destination type13 linescopy

   import httpxPROXY = "http://USERNAME_pool-arcfast_country-de:PASSWORD@proxy.arcproxies.io:8000"   # rotating: a new exit per requestDESTINATIONS = {"eu": "CDG", "non_eu": "JFK"}             # example destination per tax statusdef sweep(shop, airport: str) -> list[dict]:    rows = []    with httpx.Client(proxy=PROXY, timeout=30) as client:        for status, dest in DESTINATIONS.items():            for page in shop.category_pages(client, airport=airport, destination=dest):                for item in shop.parse(page):                    rows.append({**item, "airport": airport, "tax_status": status})    return rows

3. 03

   Match products

   Normalise brand, line and volume, then match to your reference list and to domestic retail prices. Deduplicating listings covers fuzzy matching for names that differ per retailer.

4. 04

   Collect F&B menus less often

   Menus change seasonally, not daily. Fetch them monthly per outlet, keep the source document and parse item prices from it.

5. 05

   Report by airport and category

   Index prices by category against the domestic reference and against peer airports. Commercial teams use the peer index, brands use the per-product view.

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