
Powerful, user-friendly proxy network.
Geo-targeted residential proxies for scraping airline, hotel, and OTA pricing accurately across regions.
Ranked by success rate, pool quality, response time, and value.

Powerful, user-friendly proxy network.

Non-expiring residential traffic for everyone.

A pay-per-success web scraping API backed by a 95M+ IP pool, built for developers who want anti-bot bypass without paying BrightData prices.

Dedicated 4G and 5G mobile proxies on fiber-fed rigs, built for social media automation, multi-accounting, and ad verification.

Optimized proxies for sneaker copping and shopping.

Veteran datacenter proxy provider built for SEO automation, social media management, and sneaker copping — sold per-IP with unlimited bandwidth, not metered by the gigabyte.

Clean and reliable proxies for data extraction.

Sneaker-focused proxy reseller offering residential, ISP, datacenter and mobile IPs purpose-built for cook groups, bot operators and limited-release copping.
Highly-rated all-round providers are included to complete this list.
Travel and fare aggregation means collecting flight, hotel, car-rental, and OTA pricing to compare deals, feed metasearch engines, or monitor competitors. Travel pricing is extremely location-sensitive — the same flight costs different amounts depending on where you appear to be searching from — and travel sites are notoriously aggressive at blocking scrapers. Proxies are mandatory for accurate fare data.
Airlines and OTAs vary fares by point of sale, currency, and user location. To capture true local prices you must query from an IP in each market. Residential proxies with precise geo-targeting reveal the real fare a local traveler would see, which datacenter IPs cannot reliably do.
Fare data changes constantly, so aggregators poll sources frequently. Rotating residential pools spread that load to avoid blocks and keep datasets complete and fresh. Sticky sessions help with multi-step booking flows that hold state.
Prioritize broad country coverage, a clean residential pool, strong success rates on travel and OTA sites, and pricing that scales with frequent polling. The providers below are ranked on geo accuracy, reliability, and value.
The biggest mistake is querying fares from one location and assuming they are universal — airlines price by point of sale, so the same seat costs different amounts depending on where the request appears to come from. Datacenter proxies compound the problem: travel sites block them or serve distorted prices, quietly poisoning your data. Teams also poll too aggressively from too few IPs and hit rate limits, forget sticky sessions on multi-step booking flows so prices reset mid-search, and underestimate bandwidth on script-heavy travel pages, stalling high-frequency monitoring.
Route every query through a residential IP in the relevant point-of-sale market so you capture the true local fare and currency. Rotate across a large pool to sustain frequent polling without bans, and switch to sticky sessions for multi-step searches and booking flows that must hold one identity. Ensure your provider covers all the origin and destination markets you compare, and size bandwidth to your refresh cadence. For the most defended sites like Google Flights or Booking.com, a managed scraping API can absorb blocks and rendering so your pipeline stays reliable.
Fares are set by point of sale. Residential IPs in each source market capture the exact local price and currency a traveller there would be quoted.
Airlines and OTAs heavily block datacenter ranges and feed them distorted fares. Real ISP IPs return the accurate prices and availability shoppers actually see.
Fare monitoring means frequent, repeated queries. Rotating pools spread that polling across many IPs so success rates stay high without bans.
Multi-step search and booking must hold one identity. Sticky sessions keep the same IP through the flow so prices and holds stay consistent.
Comparing fares across markets needs global reach. Choose a provider with residential IPs in every origin and destination market you track.
Frequent polling of heavy travel pages adds up. Transparent per-GB pricing with headroom keeps high-cadence fare tracking economical.
Choosing proxies for travel & fare aggregation
Airlines and OTAs set prices by point of sale and user location, so the same fare differs by region. Querying from a residential IP in each target market is the only way to capture the accurate local price a traveler would see.
Residential proxies with broad country coverage and precise geo-targeting are best, because travel sites trust real ISP IPs and heavily block datacenter ranges, and because prices depend on location.
Use rotating residential proxies to distribute frequent polling across many IPs, keeping success rates high. Use sticky sessions for multi-step booking flows that require holding the same IP.
Airlines and OTAs use point-of-sale pricing, currency, and demand signals, and sometimes personalize based on cookies and repeat visits. Clean residential IPs in the target market, with fresh sessions, strip out that personalization so you capture the true baseline fare.
Yes, though these are well-defended and rate-limit aggressively. A large rotating residential pool with geo-targeting in each source market keeps success rates high; for the toughest targets, a scraping API that handles blocks and rendering can save engineering time.
Fare monitoring means frequent, repeated queries, so you need enough IP rotation to spread them out. A rotating residential endpoint handles this automatically — scale bandwidth to how many routes, dates, and refresh cycles you track rather than buying individual IPs.
Most do. Travel sites are among the strictest at filtering datacenter ranges and often feed them distorted or blocked prices. Residential proxies are strongly recommended for accurate, reliable fare and availability data.