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Travel fares & availability

Travel observations that keep the search context attached.

Collect supported public flight, hotel, fare, rate, and availability observations through documented travel APIs—or receive a maintained feed shaped around the routes, properties, dates, travelers, markets, and fields your workflow needs.

● Public observations only. Fare, rate, and availability values are meaningful only with their requested context and observation time.

  1. 01
    Define the search

    Route or property, dates, travelers, locale, and currency.

  2. 02
    Separate the objects

    Itinerary or stay, supplier, offer, and availability observation.

  3. 03
    Agree the handoff

    Request-time access, scheduled feed, or managed operation.

Travel record model

A search result is a relationship between context, inventory, and time.

Model the requested journey or stay separately from the offer that a supplier displayed. That separation prevents values from different dates, occupancies, routes, or conditions being compared as if they were equivalent.

01 · Requested contextDocumenté

Travel query

The reproducible input that produced a public result set.

  • Route or property
  • Dates and travelers
  • Market, language, currency
02 · Travel objectDocumenté

Itinerary or stay

The flight legs, hotel property, room, and conditions to which an observation belongs.

  • Segments or nights
  • Property or route keys
  • Cabin or room attributes
03 · ObservationDocumenté

Offer & availability

A time-bound value displayed by a named airline, hotel, marketplace, or other supplier.

  • Fare or rate
  • Displayed state
  • Supplier and conditions
04 · Normalized layerLe pilote d'abord

Comparable travel option

An agreed cross-source view that retains the original itinerary, property, supplier, and terms.

  • Comparable dimensions
  • Match evidence
  • Ambiguous state
Interpretation boundaryNot assumed

Visible is not transactable.

A displayed fare is not a checkout total. Displayed availability is not a booking guarantee.

Couverture de la source

Start with documented travel endpoints. Pilot source-specific expansion.

Support is evaluated at the endpoint, public page family, request input, market, and required-field level—not inferred from a source name alone.

Famille de sourceLes donnéesContextesÉtat
Google Hotels APIProperty or destination searchDates, guests, localeDocumenté
Google Flights APIOrigin and destinationDates, travelers, cabinDocumenté
Booking APIsPublic search or property inputDates, occupancy, marketDocumenté
Other airline, hotel, OTA & rental sourcesRepresentative public pagesSource-specific contractLe pilote d'abord
Private booking surfacesAccounts, checkout, reservationsPrivate or transactionalPas standard

Record schema

Keep the observed value inside its travel envelope.

A decision-ready record carries the search, travel object, supplier, displayed terms, time, and collection state together.

01 · Search

Requested context

query_id
Stable key for one normalized request.
origin / destination
Route or destination inputs where applicable.
travel_dates
Departure, return, check-in, or check-out.
02 · Travel object

Itinerary or stay

property_or_route_id
Source identifier retained with the object.
segments_or_nights
Structure of the trip or stay.
room_or_cabin
Observed configuration and conditions.
03 · Observation

Offer and availability

displayed_amount
Visible value and currency, unchanged.
availability_text
Source wording and normalized state.
supplier
Named public seller or provider context.
04 · Provenance

Traceability and state

source_url
Public webpage associated with the observation.
observed_at
Timestamp for this source observation.
collection_state
Observed, absent, unavailable, failed, or review.
Illustrative travel record—not customer dataJSON
{
  "record_id": "travel_obs_001",
  "query": {
    "origin": "AMS", "destination": "LIS",
    "departure_date": "YYYY-MM-DD",
    "travelers": 1, "cabin": "economy"
  },
  "itinerary": { "segments": 1 },
  "offer": {
    "displayed_amount": 132,
    "currency": "EUR",
    "supplier": "Example Air",
    "availability_text": "Shown"
  },
  "market": "NL", "language": "en",
  "observed_at": "YYYY-MM-DDThh:mm:ssZ",
  "collection_state": "observed"
}
Interpret literally.

The value is evidence of what was displayed for this request—not a final price, held seat, or confirmed room.

Identity & comparability

Match travel objects before comparing offers.

Preserve source identifiers and itinerary or stay attributes. A normalized option is assigned only when the relevant route, property, dates, party, and conditions satisfy an agreed rule.

  1. 01

    Source key

    Property, flight, or offer ID

    Retained exactly as observed.
  2. 02

    Match cues

    Route · dates · property · terms

    Compared under a versioned rule.
  3. 03

    Match state

    Matched · ambiguous · unmatched

    Never inferred silently.
  4. 04

    Normalized key

    Comparable option ID

    Present only when contracted.

Freshness semantics

Time belongs to each fare, rate, and availability observation.

Separate the request, source observation, delivery, and any derived change event. Travel values can change between those moments.

  1. Requestedrequested_at

    The complete travel context entered collection.

  2. Observéobserved_at

    The source displayed this value or state.

  3. Delivereddelivered_at

    The record reached the agreed handoff.

  4. Changedfirst_seen / last_seen

    A recurring scope detected a different observation.

Quality & missingness

Do not turn uncertainty into a fare or availability claim.

A useful record distinguishes a valid observation from no result, unsupported context, changed source structure, and collection failure.

Observé

Required structure present

The search context and contracted fields passed structural checks.

Source absent

No offer displayed

The source returned no qualifying observation for the request.

Révision

Terms are ambiguous

A room, route, supplier, or price component needs inspection.

Failed

Collection did not complete

Failure remains separate from sold out or unavailable.

Structural checks

Required request context, object keys, currency, source URL, and timestamps.

Field checks

Amount type, itinerary or stay shape, supplier, availability state, and terms.

Acceptance boundary

Your team approves comparable dimensions and downstream decision rules; managed delivery operates the contracted data checks.

Operating model

Choose the travel data handoff that fits your operation.

Compare ownership across infrastructure, documented request-time APIs, recurring feeds, and a fully operated data program.

Maximum control

Build on proxy infrastructure.

Your team defines travel inputs, collects pages, parses results, models offers, monitors quality, and delivers the records.
ResponsabilitéPropriétaire
Travel briefCustomer
Access infrastructureShared
Extraction and schemaCustomer
Quality and maintenanceCustomer
Storage and decisionsCustomer

Applications

One contextual record model, several travel workflows.

Each application uses the same source-linked observations while your team defines comparison logic, thresholds, and decisions.

01

Fare monitoring

Track displayed flight values by route, date horizon, cabin, and market.

Query · itinerary · fare · supplier · time
02

Hotel rate intelligence

Compare public rates only after aligning property, stay, occupancy, room, and conditions.

Property · stay · room · rate · terms
03

Availability signals

Observe changing public result states without presenting them as confirmed inventory.

Search · displayed state · source · time
04

Route and destination research

Study visible options, suppliers, connection patterns, and date ranges.

Route · itinerary · supplier · context
05

Travel market analysis

Build governed time series from recurring, comparable observations.

Normalized option · value · currency · history
06

Travel product experiences

Power eligible lookup and comparison workflows with documented APIs.

Request context · current response · provenance

Representative pilot

Test ordinary searches and the edge cases that change meaning.

Use representative routes, properties, date horizons, occupancies, locales, empty results, changed terms, and ambiguous matches to validate the record contract before scale.

Scope a travel data pilot
  1. 01

    Define

    Sources, trip or stay inputs, fields, cadence, and downstream use.

  2. 02

    Sample

    Normal, sold-out-looking, missing, changed, and ambiguous public results.

  3. 03

    Inspect

    Values, terms, provenance, timestamps, and collection states.

  4. 04

    Accept

    Schema, comparable dimensions, thresholds, delivery, and exception process.

Evaluation FAQ

Resolve the travel data contract before delivery.

These answers define what a public travel observation can—and cannot—mean.

What travel data can WebScrapingAPI provide?

Supported requests can return public hotel properties, flight routes, itineraries, stay parameters, displayed fares or rates, visible availability, suppliers, and source context. The selected endpoint or scoped source set determines the exact fields and objects.

Which travel sources are documented today?

Current WebScrapingAPI documentation includes Google Hotels API, Google Flights API, and Booking APIs. Each endpoint has its own inputs, response shape, and supported public page context; documentation and representative requests define the usable production scope.

Does a displayed fare include the final checkout price?

No. A displayed fare is not a checkout total. Taxes, fees, baggage, occupancy, room conditions, currency handling, and supplier-specific steps may change the amount presented later in a booking flow.

Does displayed availability guarantee that a trip or room can be booked?

No. Displayed availability is not a booking guarantee. It is a public observation for a defined search context and time, not a reservation, held inventory, or confirmation from the supplier.

Which context should travel records preserve?

Records should retain the route or property, origin and destination where relevant, dates, guests or travelers, cabin or room context, market, language, currency, device assumptions where used, source, and observation time. Without that context, two visible offers may not be comparable.

Can offers be normalized across airlines, hotels, and travel marketplaces?

Cross-source normalization is a pilot-first scope. A representative sample is used to agree identifiers, inclusions, currency treatment, itinerary or room attributes, supplier relationships, and explicit unmatched or ambiguous states before recurring delivery.

How fresh can travel fare and availability data be?

Request-time APIs produce observations when a request or asynchronous job is processed. Scheduled and managed programs use an agreed cadence by source, market, route or property, date horizon, and workload. Every observation retains its own timestamp rather than inheriting a generic freshness label.

How are missing results and collection failures represented?

The record contract can distinguish no offer shown, source unavailable, invalid or unsupported search context, access failure, parsing exception, and a late delivery. A missing result is never silently converted into a zero fare or a confirmed sold-out state.

Who maintains the data workflow when a travel source changes?

Proxy customers maintain their own collectors and parsers. WebScrapingAPI maintains documented API behavior within each product boundary. Scheduled datasets and Managed Web Data can include contracted extraction, normalization, monitoring, source-change maintenance, and delivery operations.

What travel-data boundaries apply?

Standard scope is limited to eligible public webpages and public fields. Booking and payment flows, private accounts, member-only or loyalty prices, reservations, customer profiles, and transaction data are not standard scope. Customers remain responsible for lawful use and travel decisions made with the records.

Travel fares & availability

Validate the route, stay, and availability fields before scale.

Start with a documented travel API or scope representative sources, markets, traveler context, cadence, and delivery with a data expert.