Zentrumhub-blackfont-SVG 2 RateHawk Hotel API
One API ยท 100+ suppliers ยท 900,000+ hotels

The hotel API aggregator
your platform plugs into once

A hotel API aggregator unifies every major bedbank, GDS and OTA-wholesale supplier behind one normalised connection, so you integrate once instead of building and maintaining dozens of supplier APIs. Deduplicated inventory, sub-1-second search, one booking flow.

โœ“ Live in weeks, not months
โœ“ Zero supplier maintenance
โœ“ 99.99% uptime SLA
100+
Suppliers in one API
900,000+
Hotels ยท 190+ countries
30M+
Daily API calls
99.99%
Uptime
Trusted byย 90+ travel companies โ€” Enterprise, B2B, B2C, Corporate & TMC
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Start here

What is a hotel API aggregator?

A hotel API aggregator is a single API that unifies many hotel suppliers into one connection.

Instead of integrating bedbanks, GDS and OTA-wholesale suppliers separately, each taking 3โ€“6 months and $100K+, a travel business integrates the aggregator once and instantly reaches all connected inventory. The aggregator handles the messy part: it standardises every supplier's data into one schema, deduplicates the same hotel sold by multiple suppliers, picks the best rate, and returns a single clean response. You build against one hotel API; it quietly maintains the connections to all the rest. ZentrumHub's aggregator, powered by Zentrum Connect, brings together 100+ suppliers and 900,000+ hotels behind one integration.

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The problem it solves ยท without an aggregator

One team, a dozen APIs, endless firefighting

Every supplier speaks a different language, charges a different way, applies different business rules, and breaks on a different schedule. Wire them up yourself and your engineers spend their lives juggling connections, patching formats, and chasing failures, instead of building product.

Supplier API wire
Live data packet
Failure / issue

Each wire is a supplier API your team builds, maps, monitors and repairs, forever. A hotel API aggregator collapses all of them into a single connection it maintains for you.

Behind one request

How a hotel API aggregator works

One search from your platform becomes a coordinated query across 100+ suppliers and comes back as a single, clean response. Here's every step the aggregator runs so your engineers don't have to.

STEP 1

Your platform searches

A traveller searches "Dubai, 3 nights". Your app sends one request to the aggregator.

STEP 2

Fan-out, in parallel

The aggregator queries every connected supplier at once, not one after another.

STEP 3

Normalise & dedupe

Every supplier's format becomes one schema; the same hotel from many sources is merged.

STEP 4

Rank & route

Best rate surfaced, slow or failing suppliers routed around, caching applied.

STEP 5

One clean response

You get a single unified result, ready to display. Booking flows back through one API.

The honest comparison

Aggregator vs direct, bedbank & GDS

There's a place for each. But for any platform that needs broad, reliable inventory without an engineering team dedicated to supplier upkeep, the aggregator model wins on every axis that matters.

Direct hotel API Single bedbank GDS API Hotel API aggregatorZentrumHub
Suppliers reached One hotel / chain One wholesaler Chain & corporate rates 100+ across all types
Hotels accessible A few to thousands 200Kโ€“500K ~150K (chain-heavy) 900,000+
Integration time Weeksโ€“months each 3โ€“6 months 3โ€“6 months, complex 2โ€“4 weeks, once
Ongoing maintenance You, per connection You You Handled for you
Data normalisation Build it yourself Single format Proprietary format One schema, all suppliers
Hotel deduplication N/A N/A N/A Built-in mapping
Best for One key property A single source of stock Corporate / chain focus OTAs & agencies scaling fast

Want the supplier-by-supplier breakdown? Read our guide to the top 15 hotel API providers and our explainer on what a hotel supplier API is.

Where it sits

The four types of hotel API providers

"Hotel API" covers four very different things. Three are sources of inventory. The fourth, the aggregator, is the layer that unifies the other three.

Source

Direct hotel API

A single hotel or chain exposes its own rooms and rates. Deep content, but one property's worth of inventory.

Use when: one flagship property matters most.
Source

Bedbank API

A wholesaler holding contracted inventory, Hotelbeds, RateHawk, TBO, typically 200Kโ€“500K hotels from one source.

Examples: Hotelbeds, RateHawk.
Source

GDS API

Global distribution systems, Amadeus, Sabre, Travelport, strong on chain and corporate rates, but complex and chain-heavy.

Examples: Amadeus, Sabre, Travelport.
The unifying layer

Hotel API aggregator

One API unifying all of the above, bedbanks, GDS and OTA-wholesale, with normalisation, dedup and routing built in.

This is Zentrum Connect by ZentrumHub.
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What the aggregator actually does

Five jobs it runs on every search

Aggregating isn't just "more suppliers". It's the work between them, the normalising, deduping, routing and rechecking that turns raw supplier feeds into inventory you can sell. Tap through each, or watch it cycle.

The bit that quietly matters most

One hotel, five suppliers, one clean listing

The same property gets sold by many suppliers under slightly different names and IDs. Without deduplication, your users see the same hotel five times. With it, they see one listing at the best rate.

โ— Raw supplier feeds
HotelbedsGrand Plaza Hotel Dubai$214
RateHawkGrand Plaza (Dubai)$201
ExpediaThe Grand Plaza, Dubai$229
TBOGrand Plaza Htl - DXB$208
AgodaGrand Plaza Dubai Hotel$219
Five entries, one actual hotel. Confusing to the user, and impossible to show a clean "best price".
โ— After aggregator mapping
5 sources mergedGrand Plaza Hotel, Dubai$201
Best rate surfaced $201 ยท RateHawk
Other rates kept as fallback 4
Duplicates shown to user 0
One canonical property, the cheapest live rate on top, the rest held as instant fallback if availability drops. This is hotel mapping, and a good aggregator does it automatically.
Why it compounds

More suppliers, more coverage, more bookings

Coverage isn't vanity. Every supplier you add fills gaps in price and availability, which directly lifts look-to-book. This is the pattern teams see after consolidating onto an aggregator.

Inventory coverage vs booking conversion

Illustrative model based on multi-supplier deployments. Your numbers depend on markets and mix.

Hotels reachable
Look-to-book index
The maths nobody runs upfront

Aggregator vs building it yourself

Say you want five solid suppliers live. Here's what each path really costs before a single booking comes through.

Build 5 suppliers in-house

Direct integrations, your engineering team
Engineering time15โ€“30 months
Build cost$500Kโ€“$1M+
Ongoing maintenancePermanent
Hotel mapping / dedupBuild separately
Time to 5 suppliers live15โ€“30 mo

Use a hotel API aggregator

One integration, 100+ suppliers ready
Engineering time2โ€“4 weeks
Build costOne integration
Ongoing maintenanceHandled for you
Hotel mapping / dedupBuilt in
Time to 100+ suppliers live2โ€“4 wks

We did the full build-versus-buy breakdown here: hotel booking engine cost โ€” build vs buy.

What you unlock

Every supplier type, through one connection

A real aggregator doesn't just stack bedbanks. It spans all four supply types, so your coverage holds up across regions, rate types and booking patterns.

GDS

Chain & corporate rates

Global distribution systems for chain hotels and negotiated corporate inventory, the backbone of business travel.

AmadeusSabreTravelport

Bedbanks

Wholesale inventory

Wholesalers holding huge contracted stock at net rates, the workhorse supply for most OTAs and agencies.

HotelbedsRateHawkWebBedsTBODidaTravel

OTA-wholesale

Consumer-brand stock, resold

Consumer OTA inventory made available to partners through APIs, broad reach and rich content.

Expedia RapidPricelineAgoda

Regional & DMC

Local depth where it counts

City-specific DMCs, boutique and independent properties, and regional wholesalers that fill gaps the big sources miss.

MENA specialistsAPAC leadersLocal DMCs
0
Suppliers, one API
0
Hotels worldwide
0
Countries covered
0
Daily API calls

See the full list on our 100+ hotel suppliers page.

Who runs on an aggregator

Built for anyone selling hotels at scale

If your business depends on broad, live hotel inventory but you don't want to run a supplier-integration team, the aggregator model is for you.

OTAs

Launch or expand with global coverage from day one, no dozens of supplier contracts and integrations to sign first.

B2B agencies & consolidators

Feed your whole agent network from one source, then resell through a B2B travel portal under your brand.

TMCs

Give business travellers in-policy choice across chains and bedbanks, all reconciled through one feed.

Metasearch

Pull comparable rates from many sources in one call to power side-by-side price comparison and direct booking.

Tour operators & DMCs

Enrich packages with live hotel options instead of static, manually-loaded allocations.

Travel startups

The fastest route from idea to a bookable product, with a large hotel catalogue available on launch day.

Why teams pick ZentrumHub

An aggregator built to disappear behind your product

The best aggregator is the one your users and engineers never have to think about. These are the numbers behind that.

0
Suppliers in one API
0
Hotels, 190+ countries
<500ms
Supplier API overhead
99.99%
Platform uptime SLA
0
Daily API calls
0
Customer retention
4.9/5
Capterra rating
Built-in
Mapping & dedup
It works in production

What changed for teams who switched

Aggregation isn't a theory here. These are measured outcomes from OTAs and agencies running on ZentrumHub today.

4ร—

TravClan

Daily bookings grew 4ร—, with a 258% revenue increase and 90% faster supplier integrations after consolidating onto one aggregator.

Read the case study โ†’
358%

RateHawk partnership

358% YoY growth in gross booked bookings and a 300% expansion of distribution network reach through the connection.

Read the case study โ†’
3ร—

Akbar Travels

Tripled revenue for a long-standing partner by widening live inventory and removing per-supplier integration drag.

See customer stories โ†’
Clearing it up

Four myths about aggregators

The objections we hear most, and what's actually true once you're running on one.

โœ•
"An aggregator must be slower than going direct."
Parallel querying and caching keep search under one second across 100+ suppliers, often faster than a single poorly-tuned direct call.
โœ•
"I'll lose my own supplier relationships."
You keep your commercial deals. The aggregator handles the technical connection; your contracts and net rates stay yours.
โœ•
"It's just a thin reseller markup."
The value is the engineering you skip, normalisation, mapping, dedup, routing and permanent maintenance across every supplier.
โœ•
"Aggregators only do search, not booking."
The full transactional flow is covered, search, availability, rate check, book, modify and cancel, through one schema.
Before you commit

How to choose a hotel API aggregator

They are not all equal. Score any provider against these six before signing, the gaps tend to show up later, at scale.

1

Supplier depth & mix

Not just a count, but the right blend of bedbanks, GDS, OTA-wholesale and regional sources for your markets.

2

Mapping & deduplication

Strong hotel mapping is what turns five duplicate listings into one clean, best-priced result. Ask how it's done.

3

Response time under load

Parallel querying, caching and routing matter. Sub-1-second across 100+ suppliers should be the bar, not the exception.

4

Data normalisation

One schema for content, rates and policies, so your team builds once and never special-cases per supplier.

5

Commercial model

Understand exactly what you pay, and whether per-booking fees eat your margin as volume grows.

6

Maintenance absorbed

The real value: when a supplier changes their API, does the aggregator handle it, or does it land on your roadmap?

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Common questions

Hotel API aggregator FAQ

The questions OTA owners, agencies and tech leads ask most before adopting an aggregator.

Is a hotel API aggregator the same as a bedbank?

No. A bedbank like Hotelbeds or RateHawk is a single wholesale supplier. An aggregator sits one layer above: it connects to many bedbanks, plus GDS and OTA-wholesale suppliers, and exposes all of them through one normalised API. A bedbank gives you one source of inventory; an aggregator gives you many through a single integration.

Does aggregating multiple suppliers add latency?

A well-built aggregator doesn't. ZentrumHub queries all connected suppliers in parallel rather than one after another, with smart caching and supplier routing, delivering sub-1-second search across 100+ suppliers and under 500ms supplier API overhead.

How does a hotel aggregator handle duplicate hotels?

The same property is often sold by several suppliers under slightly different names, IDs and addresses. The aggregator uses hotel mapping to match these to a single canonical property, then merges the rates so your users see one clean listing with the best available price, not five confusing duplicates.

Does it support booking, or only search?

The full transactional flow. ZentrumHub's aggregator handles search, availability, rate check, booking, modification and cancellation across all connected suppliers through one normalised set of endpoints, returning a unified response regardless of which supplier fulfils the booking.

Why not just integrate suppliers directly?

You can, but each direct integration costs 3โ€“6 months and $100K+, plus ongoing maintenance every time a supplier changes their API. An aggregator replaces all of that with one integration: live in weeks, 100+ suppliers immediately, and no supplier connection you maintain yourself.

How long does integration take?

Most ZentrumHub clients go live in 2โ€“4 weeks, and a white-label booking engine on top of the aggregator can launch in as little as 15 days, versus 3โ€“6 months per supplier when building direct integrations.

What inventory will I actually reach?

100+ suppliers across GDS (Amadeus, Sabre, Travelport), bedbanks (Hotelbeds, RateHawk, WebBeds, TBO, DidaTravel), OTA-wholesale APIs (Expedia Rapid, Priceline, Agoda) and regional DMCs, totalling 900,000+ hotels across 190+ countries.

What should I look for when choosing one?

Supplier depth and mix, mapping and deduplication quality, response time under load, data normalisation, the commercial model, and, most importantly, how much ongoing supplier maintenance the provider absorbs on your behalf.

Connect to 100+ hotel suppliers through one API

Skip the months of per-supplier integration. Plug into one aggregated, normalised, deduplicated hotel API, and go live in weeks under your own brand.

No credit card. A straightforward walkthrough of whether the aggregator fits your business.
Free ebook download

Wait โ€” something's for you ๐Ÿ‘‹

Built for travel agencies
The 5 Hidden
Costs
of Adding a New Hotel Supplier
$
$215K+integration cost
โ—ท
6โ€“9 monthsper supplier
โŠ˜
2โ€“7% bookingsfail silently
โœ“
10โ€“15% devcapacity drain
"What CTOs and CEOs miss when they say, 'let's just integrate one more.'"
12-page report ยท 2026 edition

The real cost most OTAs never calculate.

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