Real estate data intelligence

AI-powered real estate data scraping & property intelligence

Turn public property listings and market signals into structured intelligence for pricing, availability, comparable research and location analysis.

Property markets change listing by listing. We build custom workflows that organize publicly available property, pricing, availability and location information around the geographies, property types and research questions that matter to your team.

From public pages to useful data

What is real estate data scraping?

Property markets change listing by listing. We build custom workflows that organize publicly available property, pricing, availability and location information around the geographies, property types and research questions that matter to your team.

Cigma combines tailored extraction logic with AI-assisted mapping and validation where appropriate. The objective is a dependable dataset that fits your research, commercial or operational workflow—not an unstructured collection of raw pages.

Data we extract

Build the dataset your team actually needs

Every project starts with a field map. We collect only publicly available information that is relevant to your use case, then normalize it into an agreed structure.

LS

Listing data

Property type, address fields where public, listing status, descriptions, photos and visible attributes.

PR

Price data

Asking price, price changes, rent, public price history and comparable listing signals where available.

AV

Availability data

Listing status, days on market and availability-facing fields where public.

PT

Property data

Bedrooms, bathrooms, area, amenities, features, construction and property-type attributes.

LC

Location data

Neighborhood, city, region, postcode and location-context fields for market analysis.

AG

Agent data

Public broker, agency and agent-facing details where available and relevant to the project.

From data to decisions

Real Estate intelligence use cases

The same public data can answer different business questions. We define collection and output around the decisions your team needs to make.

MI

Market intelligence

Track listing volume, public price movement and availability across target markets.

CR

Comparable research

Build structured public listing datasets for comparable property analysis.

LM

Location analysis

Organize property and market data by neighborhood, city, region or property type.

CM

Competitive monitoring

Follow public listings, market presence and visible competitor activity.

RI

Rental intelligence

Track public rental listings, pricing and availability signals.

DA

Data delivery

Prepare property datasets for research tools, dashboards and market-analysis workflows.

AI-powered extraction

A more structured route from page to dataset

AI can help identify page context, map relevant values to defined fields and validate records against agreed rules. We use it as part of a practical workflow—not as an unsupported promise of fully autonomous collection.

  • Understand the source and required field structure
  • Extract relevant publicly available information
  • Validate, normalize and remove duplicates where required
  • Structure records to match your agreed schema
  • Deliver data in the format and frequency you need
Public web sources

Custom workflows for the sources you need

We assess public property portals, agency sites and listing sources around the geography, property type and data fields relevant to your use case.

We do not claim support for a source until the required workflow has been assessed.

Who uses this data

Useful across specialist teams

  • Real estate agencies and brokerages
  • Property technology platforms
  • Developers and asset managers
  • Market research and consulting firms
  • Investment and valuation research teams
  • Location and data intelligence businesses
Flexible delivery

Get data in the format you need

Your delivery method should fit the people and systems using the data. We can prepare structured outputs for one-time or scheduled delivery.

  • CSV, Excel, JSON and XML files
  • API or database-ready delivery
  • Cloud storage and custom data feeds
  • One-time datasets or scheduled updates
  • Field normalization based on your schema
How Cigma works

A transparent data workflow

01

Define requirements

Share the public sources, fields, geography and update frequency that matter to your team.

02

Design the workflow

We assess source feasibility and configure an extraction and data-structure approach.

03

Extract and validate

Public information is collected, normalized and checked against the agreed data rules.

04

Deliver the dataset

Receive a sample or feed in the agreed format so your team can begin using the information.

05

Monitor and update

For recurring needs, the workflow can be maintained and run on an agreed schedule.

06

Refine as you learn

Add or refine fields as your commercial, research or product questions evolve.

Explore more data intelligence

Related AI-powered web scraping solutions

Explore the AI-powered web scraping service hub or review other industry data solutions: E-commerce, Travel & Tourism, Food Delivery, Entertainment, Finance, Jobs & Recruitment, News & Media.

Frequently asked questions

Real Estate data scraping FAQs

What is real estate data scraping?

It is the structured collection of publicly available property listing, pricing, availability and location information.

Can Cigma collect property listings from multiple sources?

A workflow can be scoped around relevant public listing sources, subject to source feasibility and project requirements.

Can property data be organized by location?

Yes. Data can be structured around agreed neighborhoods, cities, regions, property types and other public fields.

How is data delivered?

We can prepare agreed datasets for CSV, Excel, JSON, XML, API, database or cloud-storage delivery.

Is public web data collection legal?

Each project should be assessed individually. We focus on publicly available information while considering applicable laws, privacy requirements, contractual restrictions and website terms.

How do we get started?

Share the public sources, fields, geography and refresh frequency you need. We will help define a practical scope.

Request your property data sample

Tell us the public sources and fields you need. We’ll help define a practical data collection plan.

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