Best proxies for scraping travel fares and hotel rates in 2026

Travel pricing is one of the hardest things to collect at scale. Airlines, online travel agencies and hotel chains all show different prices depending on where you appear to be, what device you look like, and how many times you have asked in the last ten minutes. A fare that shows as S$412 from a Singapore residential IP can show as S$468 from a US datacenter range, and sometimes it simply does not show at all.

This list is for people building fare trackers, rate parity monitors, hotel price comparison tools, or market research pipelines for travel businesses. I am Xavier Fok, a Singapore-based operator, and I run proxy infrastructure myself, so I look at these vendors as someone who pays the bills and watches the failure logs. If you only need a few hundred pages a day, most of this is overkill. If you are pulling millions of fare and rate checks a month, the choice of network decides whether your margin survives.

I picked seven options that cover the realistic ways to do this: raw residential proxy networks, mobile IPs, and scraping APIs that handle the blocking for you. None of them is perfect. Travel sites are among the most aggressively protected targets on the web, so expect to tune whatever you buy. Always check each target’s terms of service and robots.txt before you collect anything. RFC 9309 describes how the Robots Exclusion Protocol is meant to work, and it is worth reading once. This is not legal advice. If your use is commercial, talk to a lawyer who knows scraping law in your jurisdiction.

For more on the wider proxy market, the blog index has the rest of our guides.

how I picked

Travel scraping has different needs from, say, scraping product listings. These are the criteria I weighted.

geo-targeting depth: fares and rates change by country, and often by city. I want country, city and ideally ASN level targeting, plus enough IPs in Asia, Europe and the US to compare local pricing honestly.
session control: a flight search is a multi-step flow, with search, results, fare rules and sometimes a hold. I need sticky sessions that last long enough to complete the flow without the IP changing mid-request.
success rate on hard targets: major OTAs and airline sites sit behind commercial bot defences. Raw IP quality matters, but so does whether the vendor offers unblocking tools or a headless browser option.
cost per useful result: travel pages are heavy. A single results page can be several megabytes with scripts and images, so per-GB pricing can bite. I compare per-GB networks against per-request APIs on the real cost of getting one clean fare.
compliance posture: I want a vendor that publishes how it sources IPs and runs know-your-customer checks. This matters for your risk, and it matters for the people whose devices are in the pool.
support and documentation: when a target changes its defences on a Friday night, a response from a real engineer beats a chatbot every time.

the picks

Bright Data

Bright Data is the largest commercial network I deal with, and for travel work its main advantage is coverage. You can target at country, state, city and ASN level, which matters when you are checking whether a hotel chain shows different rates to guests from different cities in the same country. It also offers a Web Unlocker product and a scraping browser, so you can start on raw proxies and move to managed unblocking on the sites that fight back, without changing vendors.

The tradeoff is complexity and cost. The dashboard has a lot of products, the pricing tiers take a while to understand, and the know-your-customer process for the more sensitive features is stricter than at smaller vendors. For a serious travel data operation that is a fair price. For a weekend project it is a lot.

pros: very wide geo coverage down to city and ASN level
pros: unblocking tools and a scraping browser available on the same account
pros: strong documentation and a mature API
cons: pricing is layered and easy to overspend on if you do not set limits
cons: stricter onboarding checks can slow you down at the start

pricing: residential traffic is billed per GB, with pay as you go and monthly plans. Check the pricing page for current rates, since Bright Data runs promotions often.

link: brightdata.com

Oxylabs

Oxylabs is the other enterprise option I would put in front of a travel company. Its residential pool is large and its datacenter and mobile products are well run. What I like for fare work is the Web Scraper API, which returns parsed results and handles retries, so your team spends time on the data model rather than on rotating headers.

Oxylabs tends to suit companies with a procurement process. Account managers are responsive, contracts are clear, and the compliance documentation is easy to hand to a legal team. Smaller buyers can still use it, but the entry point is higher than at Decodo or IPRoyal, and you may feel you are paying for support you do not use.

pros: large residential pool with good geo options
pros: scraping API returns structured data and manages retries
pros: clear compliance documentation for legal and procurement teams
cons: higher entry price than mid-market vendors
cons: the dashboard and plan structure can feel heavy for small teams

pricing: residential proxies are billed per GB on monthly plans, with a trial for business users. Current plans are on their pricing page.

link: oxylabs.io

Decodo

Decodo is the rebrand of Smartproxy, and it is where I point most people who want good residential proxies without enterprise overhead. The dashboard is simple, the endpoint format is easy, and you can be pulling fares from a specific country within a few minutes of signing up. For hotel rate monitoring across ten or twenty markets, it covers the ground without much fuss.

The weakness is at the high end. When you push very high volume against the toughest airline and OTA targets, you will want the unblocking layer, and that is where the larger vendors have more depth. Decodo does offer a scraping API, but for the hardest targets I would test it carefully against Bright Data or Zyte before committing a big budget.

pros: fast setup and a clean dashboard
pros: sensible per-GB pricing that scales down well for small teams
pros: good country and city targeting for the common travel markets
cons: less depth on the hardest targets than the enterprise vendors
cons: sticky session limits are shorter than some multi-step flows need, so check before you build

pricing: residential proxies are billed per GB with tiered plans, and a smaller pay as you go option. See their pricing page for current figures.

link: decodo.com

For a closer look at how we think about this vendor, see our Decodo review.

Zyte API

Zyte is a different kind of pick. You do not buy IPs, you send a URL and get back the page, with Zyte deciding how to render it and which network to use. For travel sites with heavy JavaScript and shifting defences, that can save a lot of engineering time. Zyte also maintains Scrapy, the Python framework many scraping teams already use, so integration is natural if your stack is built around it.

Pricing is per request, and it varies with how hard the target is. That is a real advantage for budgeting, because you pay for outcomes rather than megabytes of ad scripts. The cost is control. You cannot tune the exact exit IP or hold a session as tightly as you can with a raw proxy network, and some multi-step booking flows need that control.

pros: pay per successful request instead of per GB
pros: handles rendering and unblocking for you
pros: tight fit with Scrapy and Python pipelines
cons: less control over exit IP and session behaviour
cons: per-request cost can climb on the hardest sites at high volume

pricing: per request, with tiers based on the difficulty of the target site. Check the Zyte pricing page for the current schedule.

link: zyte.com

IPRoyal

IPRoyal is my pick for people who want a straightforward residential network at a fair price and do not want a long commitment. Its traffic does not expire in the way some monthly plans do, which suits a fare tracker with uneven demand. If you run big checks around holiday booking peaks and very little in between, paying for unused monthly traffic is a quiet drain, and IPRoyal avoids it.

It is not the vendor I would choose for the hardest airline targets on its own. The pool is smaller than at Bright Data or Oxylabs, and there is no heavy unblocking stack. For hotel rate checks on mid-difficulty sites, and for teams with their own browser automation, it does the job well.

pros: pay as you go traffic that does not force a monthly commitment
pros: simple pricing that is easy to model
pros: decent country coverage for common travel markets
cons: smaller pool, so heavy use of one country can burn through IPs
cons: limited managed unblocking, so you bring your own browser stack

pricing: residential proxies are billed per GB with discounts as volume rises. Current rates are on the IPRoyal pricing page.

link: iproyal.com

SOAX

SOAX is worth a look for its targeting controls. You can filter by country, region, city and ISP, and its rotation options are easy to set. For travel work, ISP-level targeting helps when a site treats traffic from certain carriers differently, and the mobile pool is useful when you want to see the mobile-app or mobile-web price, which some airlines and OTAs make cheaper than desktop.

The honest limitation is scale at the top end. SOAX works well for mid-sized jobs, but I would not pick it as the single backbone for a very large fare database. It is a good second network to add for coverage and for cross-checking results from your main vendor.

pros: fine-grained targeting down to city and ISP
pros: mobile and residential pools on one account
pros: flexible rotation and session settings
cons: less proven at very high volume than the enterprise vendors
cons: plans bundle traffic in ways that take some comparison to understand

pricing: per GB on monthly plans, with a low-cost trial. See their pricing page for current plans.

link: soax.com

NetNut

NetNut sources much of its residential traffic through ISP partnerships rather than only peer devices, which gives it stable connections and fast response times. For fare scraping, where thousands of near-identical requests must complete quickly before a price changes, that stability is useful. Long sticky sessions also hold up well in my experience of how people use it for multi-step flows.

It is aimed at business buyers, so entry plans are larger than at some competitors and the self-serve experience is less friendly. If you are a solo developer testing an idea, start elsewhere. If you have a funded product and need steady throughput, it deserves a trial.

pros: stable connections suited to high-throughput fare checks
pros: good sticky session behaviour for multi-step searches
pros: strong fit for business and enterprise workloads
cons: higher plan minimums than hobby-friendly vendors
cons: less hand-holding for beginners

pricing: monthly plans billed per GB, with larger commitments for better rates. Current plans are on the NetNut pricing page.

link: netnut.io

comparison table

pick	price model	primary strength	primary weakness
Bright Data	per GB, pay as you go and monthly	widest geo coverage plus unblocking tools	layered pricing, strict onboarding
Oxylabs	per GB on monthly plans	enterprise support and scraping API	high entry price
Decodo	per GB, tiered, small PAYG option	fast setup and fair price	less depth on the hardest targets
Zyte API	per request by difficulty	rendering and unblocking handled for you	less control over IP and session
IPRoyal	per GB, volume discounts	traffic without a monthly commitment	smaller pool, little unblocking
SOAX	per GB, monthly plans	city and ISP level targeting	less proven at very high volume
NetNut	per GB, larger commitments	stable, fast connections	higher plan minimums

Prices change often, so treat the model column as the useful part and confirm figures on each vendor’s page before you budget.

how to choose

Start with the target, not the vendor. List the ten sites you most need, then run a small test of a few hundred requests per vendor against those exact sites. A network that shines on a hotel chain’s own booking page can struggle on a large OTA, and the reverse is just as common. Vendor claims about success rates are averages across all customers and all sites. They say little about your specific list.

Decide early whether you want to manage blocking yourself or buy it. If you already run Playwright or similar browser automation and have engineers who enjoy fixing fingerprints, a raw network like Decodo, IPRoyal or SOAX gives you the most control for the least money. If your team is small and wants clean data, pay per request for something like Zyte API or Bright Data’s unblocking products. You will spend more per fare, but you will spend far less engineering time, and for many teams that is the cheaper path in total.

Watch the page weight. Per-GB billing looks cheap until you realise a modern flight results page loads several megabytes of scripts, images and trackers. Block images and third-party scripts where the site allows it, cache what you can, and measure the real megabytes per fare before you sign a plan. This one habit often cuts the bill by more than switching vendors does.

Finally, think about the people and accounts behind the traffic. If your pipeline uses logged-in sessions or multiple identities to see member rates, the problems stack up fast and you are in a different territory from public price collection. Our sister sites cover those workflows, and the multi-account operations blog is a good place to read about session and identity hygiene. For public fare and rate data, stay on public pages, keep your request rates polite, and respect what a site’s terms say. For background on how different vendors treat their IP sourcing, our Bright Data review and Oxylabs review go into it.

verdict / top pick

If I had to pick one for a serious travel data project in 2026, I would pick Bright Data. It has the deepest geo targeting, which is the thing that matters most when the whole point is comparing prices across places, and it lets you grow from raw proxies into managed unblocking without moving platforms. It is not the cheapest and it is not the simplest, but for fare and rate work it is the one I would least regret.

For smaller teams and tighter budgets, Decodo is the best starting point. It is quick to set up, priced sensibly, and good enough for most hotel rate monitoring across common markets. If your biggest pain is blocking rather than IPs, test Zyte API next to it and compare cost per clean result.

Whatever you choose, start with a small paid test on your real targets, track cost per successful fare rather than cost per GB, and keep your collection to public data on pages where automated access is not forbidden. The vendor matters, but disciplined measurement matters more.

Written by Xavier Fok

disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-10-03.