HTTP Proxies for Travel Aggregation
Collect accurate flight and hotel fares from OTAs, airlines, and hotel sites worldwide with geo-targeted HTTP/HTTPS IPs. Prices vary by location; see what every market sees.
HTTP/HTTPS Features
Why HTTP/HTTPS Proxies Fit Travel Aggregation
Airlines, hotels, and online travel agencies frequently quote different fares based on the visitor's location, currency, and browsing history, so a single vantage point gives you a skewed view of the market. HTTP/HTTPS is the default web protocol, so proxies integrate with any aggregation scraper or pricing pipeline without special setup. Querying each travel site from an IP in the relevant country returns the fare a local shopper would actually be offered. Because the protocol is universal, one consistent setup can poll dozens of OTAs, airline sites, and hotel pages across many regions in parallel.
Which Pool to Use and Why
Use the Residential pool when fares depend on the shopper's country: 100M+ IPs across 166 core countries let you sample prices as a genuine local in nearly any market. Residential Lite handles high-volume, less geo-sensitive polling at lower cost. If you only need US fares and want the lowest rate, the Datacenter pool covers the United States cheaply, though some travel sites scrutinize datacenter traffic more closely. Mobile (115 countries) helps where mobile-app pricing differs. Match the pool to how strongly the fares you track vary by location.
Setup: host:port and Authentication
Point your aggregation tool at a host:port endpoint with user:pass authentication, setting the proxy geo to each market you want to price. Use rotating IPs when sampling many routes or properties so each query lands on a fresh address and avoids per-IP rate limits. Use sticky sessions, which hold an IP from 1 minute to 2 hours, when a quote requires a multi-step flow such as search, select, and price-confirm on the same address. One credential set drives both modes, so you can rotate broad scans and pin multi-step lookups.
Best Practices
Map the proxy country and currency to the market you are pricing so quotes are comparable and meaningful. Keep that geo consistent across runs so price trends over time are trustworthy. Spread requests across rotating IPs to stay under per-address rate limits, and pace queries to mimic real shopper behavior. For multi-step booking flows, hold one sticky IP through the whole sequence. The platform supports up to 50,000 concurrent connections, so you can poll many routes and dates simultaneously and scale coverage without re-engineering your pipeline.
Common Pitfalls
Pricing every market from one geo defeats the purpose, since fares hinge on location; always match the IP to the target market. Switching IPs mid-booking-flow breaks the session and can reset or invalidate a quote, so use sticky for multi-step lookups. Sending too many queries from a single IP hits rate limits and returns errors or stale prices. A currency or language mismatch versus the IP's region can distort the fare shown. Finally, do not rely on US-only Datacenter IPs to sample non-US pricing; use Residential for international fares.
Pricing and Scaling
Billing is pay-as-you-go per GB, so cost scales with how much you actually poll. Residential-backed traffic runs from $2.98/GB down to $1/GB at volume, and Residential Lite is $0.30/GB down to $0.16/GB for large scans. US Datacenter starts at $0.70/GB and scales to $0.16/GB, the cheapest entry at $0.16/GB. Mobile is $2.98/GB down to $1.20/GB. Travel page responses are moderately sized, so broad multi-market coverage stays affordable; begin small and move into volume tiers as your route and property coverage expands.
Frequently Asked Questions
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