What gets in the way
Property portals expose rich data but restrict bulk access, and listing structures differ enough between portals that a single normalized model is real work to maintain.
How Irmu solves it
Irmu collects listings, agents, price changes and days-on-market from the major portals and normalizes them into one schema you control, updated as often as your model needs.
The pipeline, step by step
- 01
Cover the market
Enumerate listings by geography, property type and price band.
- 02
Collect detail pages
Full listing pages including photos, features and agent details.
- 03
Normalize fields
One schema across portals with unit and currency normalization.
- 04
Track over time
Price cuts, relistings and time-to-sale as a continuous series.
A request from this pipeline
POST /api/extract
{
"url": "https://www.zillow.com/naples-fl/",
"schema": { "address": "string", "price": "number", "beds": "number", "baths": "number", "sqft": "number", "days_on_market": "number" }
}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.
Talk to us →Integrations in this workflow
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Start building with Irmu today
1,000 free credits every month, no card required. Every API, every integration, one key.