CUSTOM PRICE COMPARISON · ON REQUEST
QuanticData builds custom price monitoring workflows for product and hotel data. Define the sources, comparable offers, collection schedule and conditions that matter to your business. We scope matching, data delivery and notification webhooks with you, so the output fits your decisions rather than a generic price chart.
Custom scope and quote. Example outputs below are illustrative, not live rates or a public API contract.
COMPARE LIKE WITH LIKE
Choose the sources and fields before scheduling checks. Retail comparisons may need a product identifier, variant, pack size, seller, stock status and shipping basis. Hotel comparisons need a stay, guest profile and booking conditions. A title match alone can combine different products or rate plans.
Store source URLs, collection times, currencies and the location settings used for each observation. Preserve the original amount alongside any normalized value. If the input changes, you need enough context to distinguish a real price move from a different room, channel, market or tax display.
Define which changes matter: an absolute threshold, a percentage movement, a gap between channels or a change in availability. Scope the destination with your team, from a scheduled dataset to a notification or webhook. Collection cadence and delivery expectations are agreed before the workflow is built.
HOTEL RATE MONITORING
A hotel operator can monitor a defined competitor set for selected stay dates, or compare its own property across direct and OTA channels. These are different questions. Establish the matching conditions first; do not treat every price displayed for a hotel as an equivalent offer.
| Comparison field | What the brief should establish |
|---|---|
| Property and channel | Match the same hotel for parity, or define the competitor set for rate shopping. |
| Stay and occupancy | Use the same check-in/out dates, number of rooms, adults and relevant guest conditions. |
| Room and rate plan | Separate room categories, breakfast inclusions, refundable rates and non-refundable rates. |
| Price basis | Record currency, nightly versus stay total, taxes, mandatory fees and any membership conditions. |
| Observation status | Keep available, sold out, missing fields and failed collection separate, with a timestamp and source URL. |
For example, a refundable direct offer and a non-refundable OTA offer should not trigger a like-for-like parity alert just because their headline amounts differ. A sample review should establish how the workflow handles such cases. Hotel data can also be delivered as a custom dataset without a continuous alerting service.
PRICE CHANGES → YOUR WORKFLOW
Send an agreed event to your systems when a comparison satisfies your rule. The payload should identify the offer, observation time, before/after values and why the event was produced. Scope authentication, retry handling, deduplication and retention together with the data requirements.
A batch-completion webhook only says a collection finished. It does not, by itself, compare two offers or establish a price change. Those comparison and delivery rules are a separate part of this commissioned workflow.
The values and event name beside this text are invented solely to illustrate a possible payload. They are not a customer result, booking offer or documented endpoint.
{
"example": true,
"event": "price_change.detected",
"comparison_key": "example-property|2026-12-10|2-nights|2-adults|refundable",
"channel": "Example booking channel",
"currency": "USD",
"previous_amount": 129,
"current_amount": 119,
"amount_basis": "per room per night; same tax basis",
"availability": "available",
"rule": "drop_at_least_5_percent",
"observed_at": "2026-09-11T10:00:00Z"
}AGREE THE OUTPUT BEFORE BUILDING
Send the source sites, countries or markets, product or property identifiers, expected item count and desired check frequency. Include a sample of the report or webhook your team wants to receive. We can then discuss source feasibility, a representative sample and acceptance checks before a production schedule is agreed.
Review false matches, missing fields, tax treatment and stale data in the sample. State what should happen when a source changes or stops returning the required information. Priority support, escalation paths and response windows can be part of the scope; no universal support SLA is implied here.
For broader collection and support needs, explore Enterprise solutions. For a self-managed structured search workflow, see the SERP API; for the existing retail use case, see competitor pricing datasets. These are different delivery models, not interchangeable subscriptions.
PROJECT QUESTIONS
It is a commissioned workflow for collecting comparable offers, evaluating agreed price rules and delivering the results to your team. QuanticData scopes the sources, matching logic, schedule, output and notifications with you. It is not a consumer deal-finding website or an automatically activated dashboard feature.
API delivery, notifications and webhooks can be included in the project scope. Agree the payload, authentication, delivery conditions, retry behavior and duplicate handling before implementation. The example event on this page is illustrative, not a published QuanticData endpoint or a ready-to-use webhook contract.
Rate shopping compares a chosen set of competing hotels for a defined stay and guest profile. Rate parity compares equivalent offers for the same property across channels, such as its direct site and an online travel agency. Both require matching room and booking conditions; the cheapest displayed amount alone is not enough.
Start with the property, booking channel, check-in and check-out dates, occupancy, room category and rate plan. Include currency, the tax and fee basis, meal inclusions, cancellation terms and observation time. Where a field cannot be confirmed, report that limitation rather than treating unlike offers as the same product.
Availability and collection status should be separate fields from price. An unavailable room is not a zero-price offer, and an inaccessible page does not establish that a rate disappeared. Define how stale observations, missing fields and failed checks affect the comparison and alerts during the project acceptance process.
Frequency and price are agreed after reviewing the sources, item count, required fields, comparison rules and delivery requirements. Some projects need a daily snapshot; others need more frequent checks. This page does not promise a universal real-time interval or fixed service price. Request a scope and quote before committing.
No. The existing competitor-price dataset page describes the product-data use case and a planned AI workflow. This page is for commissioning a defined service, including source matching, acceptance checks and notification delivery if agreed. If you only need a one-off structured collection, discuss a custom dataset instead.
Share the sources, matching criteria and destination you need.
By Aldo Morese · Updated · Read as Markdown. Technical reference: HTTP semantics (RFC 9110).