Irmu
Solution

Travel Data

Rates, availability and reviews across OTAs and short-term rentals.

The problem

What gets in the way

Travel inventory is dynamic, geo-personalized and defended by some of the most aggressive anti-bot stacks on the web. Prices change by device, currency, session and point of sale.

The approach

How Irmu solves it

Irmu reproduces the exact search context — market, currency, device, dates — through geo-pinned residential IPs and real browsers, so the rates you collect match the rates travellers see.

Workflow

The pipeline, step by step

  1. 01

    Define search grids

    Property or route, date windows, occupancy and point of sale.

  2. 02

    Fetch with real context

    Locale-correct rendering with the right currency and device profile.

  3. 03

    Extract rates

    Nightly rate, taxes, fees, cancellation terms and availability.

  4. 04

    Track and compare

    Build rate parity dashboards and demand curves over time.

Example

A request from this pipeline

request.json
POST /api/extract
{
  "url": "https://www.booking.com/searchresults.html?ss=Lisbon&checkin=2026-10-02&checkout=2026-10-05",
  "schema": { "hotel": "string", "price_total": "number", "currency": "string", "rating": "number", "free_cancellation": "boolean" }
}
Get started

Try it on your own targets

The free plan is enough to run this workflow end to end on a handful of pages. If you want help sizing it for production volume, send us your target list and we'll go through it with you.

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