Real Estate Data From Any Listing Portal
Comprehensive property data (prices, specs, location, agent details, listing history, and market trends) collected from any residential or commercial real estate platform.
| Address | Type | Price | Beds | Status |
|---|---|---|---|---|
| 142 Maple Ave | Condo | $689,000 | 2 | Active |
| 8 Harbourview Blvd | Detached | $2.1M | 4 | Active |
| 315 Queen St W, #12 | Condo | $549,000 | 1 | New |
| 91 Forest Hill Rd | Semi-Detached | $1.4M | 3 | Sold |
Status transitions, not just whatever is on the page today.
- Listed → sold
- Transitions tracked across the life of a listing
- Per-market
- Coverage defined by the geographies you pick
- Normalised
- Area, price and beds reduced to one unit set
Real estate data is fragmented, outdated, and expensive to access
Property data is scattered across hundreds of portals, agency websites, and public registries. Aggregating it into a usable dataset requires continuous effort, and licensed data sources charge significant fees for access that web collection can replicate at a fraction of the cost.
- Property portals differ enormously in structure and require custom extraction logic per site
- Listing data changes daily: new listings appear, prices change, and properties get marked sold or let
- Comparable sales and listing history are buried across multiple pages and not always exposed as structured data
- Agent and broker information is inconsistently formatted and requires normalization to be useful
- Commercial and residential markets require different field schemas that generic tools don't accommodate
Structured property data from any portal, updated on your schedule
Pyronets collects, structures, and delivers property listing data from any real estate portal or agency website (residential and commercial) with all key fields normalized and delivered on your preferred cadence.
What you get instead
What you get
Residential Listing Collection
Collect for-sale and rental listings including price, bedrooms, bathrooms, square footage, property type, listing status, and full address from any residential portal.
Commercial Property Data
Office, retail, industrial, and mixed-use commercial listings with floor area, zoning, lease terms, tenancy status, yields, and agent or broker details.
Price History & Comparables
Track listing price changes over time, collect comparable sold prices, and build time-series datasets for automated valuation models and market analysis.
Location & Geographic Enrichment
Full address parsing into structured components plus geocoding to latitude and longitude. Filter and analyze by postcode, district, city, or custom geographic polygon.
Agent & Broker Data
Agent name, agency, contact details, and listing counts are collected and normalized alongside each property record. Track individual agent activity and market share.
Daily Listing Updates
New listings, price reductions, status changes, and expired listings are tracked with every run. Datasets remain current with daily incremental updates or full refreshes.
Fields we collect.
A starting point, not a fixed list, the final schema is whatever you sign off on during scoping.
How your pipeline gets built
From first conversation to recurring delivery, with a sample you sign off on before anything runs on a schedule.
Define Geography & Property Types
Specify target countries, regions, cities, and postcodes. Confirm whether you need residential, commercial, or both, and which portals or agency sites to include.
Schema Definition & Build
We confirm the full output field schema and build extraction pipelines for each source including price parsers, address normalizers, and agent data extractors.
Sample Delivery & Review
A sample dataset is delivered covering all sources and property types. You validate field completeness, geographic coverage, and data quality before full collection.
Live Collection & Refresh
Full collection begins and runs on your schedule. New listings, price changes, and status updates are tracked continuously and reported in every delivery.
Common use cases.
Automated Valuation Models (AVM)
Supply clean, structured listing data and comparable sold prices to train and run automated valuation models for mortgage lending, investment, or insurance purposes.
Investment Opportunity Sourcing
Monitor listings in target postcodes or price brackets in real time. Identify properties meeting specific criteria as soon as they appear and before the market moves.
Rental Market Analysis
Track rental listing volumes, average asking rents, and rental yield indicators across markets and property types to inform investment and portfolio decisions.
PropTech Product Development
Power listing search, recommendation, and property intelligence features within proptech platforms using continuously refreshed, structured property datasets.
Market Trend Reporting
Build time-series reports on listing volumes, days on market, average prices, and price change frequency to track market health for research or advisory clients.
Agent & Agency Performance Tracking
Track listings volumes, price reductions, and time-to-sale by agent and agency across a region to benchmark performance and identify market leaders.
Delivery formats
Pick whatever drops straight into your stack.
Industries served
Where this dataset tends to be used.
Validated before it reaches you.
Every batch runs the full validation suite before delivery. If a batch fails, it does not ship. We investigate and repair the extraction first, and you get told what happened.
Frequently asked questions
We collect from any publicly accessible portal including Rightmove, Zoopla, OnTheMarket, Zillow, Realtor.com, Redfin, Idealista, SeLoger, Immobilienscout24, and hundreds of regional or country-specific platforms globally.
We collect sold prices and listing history where they are publicly displayed on portals. For official sold transaction data, we can collect from public land registries and government property data portals in applicable countries.
We support daily incremental updates capturing new listings, price changes, and status transitions. For active investors, we can deliver more frequent updates on specific geographies or price brackets.
Yes. Collection is fully configurable by geography: postcode, city, county, country, or a custom polygon or radius. Geographic filtering is applied at collection time for efficiency.
Yes. Commercial listings have different fields: floor area in sq ft or m², lease type, passing rent, yield, tenant information, and planning use class. We deliver commercial data in a separate schema from residential.
Tell us the sources. We'll send back a sample.
Describe the sites and the fields you need. You'll get a proposed schema, a real sample extracted from those sources, and a fixed price, before any commitment.
No retainer required to find out whether your sources are feasible.
Sectors this data serves
Sectors this dataset commonly serves. Schema and cadence are set per project.
Sample output
An illustrative preview of delivered records. The real schema is whatever you sign off on.
| listing_id | address | price | beds | sqft | listed_at |
|---|---|---|---|---|---|
| LST-00441 | 142 Maple Ave, Rotterdam, ON | $689,000 | 2 | 980 | 2025-05-18 |
| LST-00442 | 8 Harbourview Blvd #32, Toronto | $2,100,000 | 4 | 2,200 | 2025-05-17 |
| LST-00443 | 315 Queen St W Unit 12 | $549,000 | 1 | 620 | 2025-05-19 |
Property Data Fields We Collect
Every listing comes with full structured metadata, customized to your exact schema.
Listing Info
- Listing ID
- URL
- Listed date
- Status (active/sold)
- Days on market
Property Details
- Address & coordinates
- Property type
- Bedrooms / bathrooms
- Square footage
- Year built
Pricing
- List price
- Price per sqft
- Price history
- Sold price
- HOA fees
Market Context
- Neighborhood
- School district
- Walk score
- Comparable sold prices
- Market trend indicator