Travel & Hospitality web data

Rates move by the minute. Parity breaks by the hour. See every rate, on every channel, for every night.

Import.io collects hotel rates, availability, fares, event demand and reviews from booking channels and travel sites. Revenue, distribution and intelligence teams receive structured data by stay date, channel and point of sale through an API, managed feed or Aperture.

Rate shop · Boston · 14 Nov · 1 night · 2 adultspoint of sale: US · total price incl. taxes and fees · sample
4parity breaks today
$289median rate, comp set
90stay dates shopped daily
+18%rates near Saturday’s arena event
PropertyDirectBooking.comExpediaGoogle HotelsParity
Harbor View Hotel$309$309$289$309Expedia −$20
The Kestrel$274$274$274$274ok
Northmoor Suites$352$352$352$329metasearch −$23
Brightwater Inn$198$198$198$198ok
Seaport Grand$415sold out$429$415channel closed
Riverside Lofts$231$231$231$231ok
live events
190points of sale, captured from inside each market
Hourlyrefresh for the dates that matter
Totalprice captured: rate, taxes and fees
2012in production since

Travel companies already on it.

Production examples from organisations using Import.io today and in recent years.

managed service

One of the world’s largest travel-experiences marketplaces

Uses competitive web data at millions of queries under a managed agreement.

managed service

One of the world’s largest ticket marketplaces

Runs a managed web data program that keeps expanding to new sources.

platform

A leading UK tour operator

Has run competitive travel pricing on the Import.io platform.

A rate isn’t a number. It’s a search.

A travel price is a function of stay date, length of stay, occupancy, point of sale, device and loyalty status. Change one and the answer changes. Import.io shops rates the way travellers actually search, across your channels and your competitors’, and tells you where parity broke before the booking goes elsewhere.

The same room has hundreds of prices depending on who asks, from where, for which nights. Rate shopping that ignores point of sale, occupancy or fees compares numbers that were never comparable — and misses the parity breaks that quietly send bookings to a channel you pay commission on.

Demand moves too: a concert, a conference or a cancelled flight changes the market in hours. We capture the rates and the signals together, on a budget planned around the stay dates that matter.

who uses it
  • Revenue management
  • Distribution and channel management
  • Airline and mobility pricing
  • Travel marketplaces and OTAs
  • Destination and event organisers

What travel & hospitality teams do with it.

Six programs we run most often in this industry.

Rate shopping

Your rates and your comp set’s, by channel, stay date, length of stay and occupancy, as total price.

rates

Parity monitoring

Breaks between direct, OTAs and metasearch detected and alerted, with the evidence captured.

parity

Demand and event signals

Events, conferences and ticket prices near your properties, so demand spikes show up before the pickup does.

demand

Fares and ancillaries

Airline fares, bags and seat fees, car rental and tours by route, date and point of sale.

fares

Listing rank and content

Where your property ranks on each channel for key searches, and whether its content is right.

visibility

Reviews and reputation

Ratings and reviews across platforms, with topic-level sentiment on what guests praise and complain about.

reviews

The data, field by field.

fieldtypeexample
property_idstrharbor-view-bos
channelenumexpedia
stay_datedate2026-11-14
losint1
occupancystr2 adults
room_typestrKing
rate_totalnum289.00
currencystrUSD
refundablebooltrue
point_of_salestrUS
rankint3
retrieved_atts2026-09-25T16:02:40Z
where it comes from
  • Hotel and brand websites
  • Online travel agencies
  • Metasearch engines
  • Airline and car rental sites
  • Ticketing and event marketplaces
  • Review platforms
maintained datasets

The hard parts, handled.

What breaks when this is done with scripts, and how Import.io handles it.

01

The parameter explosion

Stay dates × lengths of stay × occupancies × points of sale is millions of searches. Budgets are planned around the dates and markets where rates actually move.

02

Point of sale

Requests come from inside each market, so a US traveller’s price and a German traveller’s price are both captured as they are shown.

03

Total price, normalised

Rates, taxes and fees are captured separately and totalled, so nightly and total prices compare fairly across channels.

04

Channel-grade access

OTAs and metasearch run heavy anti-bot defences; rendering, fingerprints and challenges are handled inside the platform.

Three ways to get it.

Same capture engine underneath each one.

data scope

Programs collect publicly displayed rates, fares and reviews. No traveller accounts or booking data are involved; loyalty rates are captured only from accounts the customer owns and authorises.

Travel & Hospitality questions.

Straight answers.

Which search parameters can you control?

Stay date, length of stay, occupancy, room type, point of sale, currency and device, per channel.

How many stay dates can you shop?

As many as the program needs; most shop 90 to 365 days forward, with hourly refresh on near dates and daily on the rest.

Do you capture total price including fees?

Yes. Rates, taxes and fees are captured separately and totalled, so channels compare on what the traveller pays.

Can you alert on parity breaks?

Yes. Breaks are detected per property, channel and date, and delivered as alerts with a captured snapshot as evidence.

Do you cover flights and events?

Yes: airline fares and ancillaries by route and point of sale, and event ticket listings from secondary marketplaces.

Tell us the sources.
We’ll show you the data.