Use cases
Read the fare a traveler in that market is actually quoted
Location-accurate pricing from airlines and booking sites
Where to start
Pool
Premium Residential
Plan
250 GB at $2.20 per GB
Premium Residential draws 1.5 standard GB per GB of traffic, so the allowance goes 1.5 times as fast on this tier.
Start ProWhat gets in the way
Three things that break this workload
Airlines quote different fares by point of sale and currency.
Country and city targeting fixes the point of sale, so the fare you record is the one that market is offered rather than an average.
Booking flows break the moment the IP changes between steps.
A sticky session holds the same exit across search, select and price, which is what these multi-step flows expect.
Fares move all day and a stalled crawl means stale numbers.
Unlimited concurrency and no thread cap, so a full refresh finishes inside the window rather than trickling through it.
In practice
What the request looks like
Targeting goes in the username string, so there is no SDK and nothing to install.
Targeting available
# Same exit across the whole booking flow.
import httpx
PROXY = (
"http://user-country-de-ttl-30-session-fare07:"
"YOUR_PASSWORD@gw.foidpro.xyz:7000"
)
with httpx.Client(proxy=PROXY, timeout=30) as client:
client.get("https://example-airline.com/search?from=BER&to=JFK")
print(client.get("https://example-airline.com/price").status_code)Why people trust it
The parts that are not marketing
Cancel or pause anytime
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