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Property Listing Intelligence

Turn selected locations and property criteria into a structured rental, sale, or sold-listing dataset with prices, property details, location context, listing status, and market-change signals.

No access or payment before scope confirmation

Your input

Tell us what to run. We handle the operating structure.

You do not need to prepare technical configuration. Provide the business requirements, examples, and approved access; we translate them into fields, rules, and a tested schedule.

What you provide

  • Target locations or market areas
  • Rental, sale, or sold research purpose
  • Property types, price range, bedroom, bathroom, living-area, days-on-market, and listing-status criteria
  • Required property, market, photo, contact, and source fields
  • Result-volume expectation and refresh frequency
  • Existing property list, exclusions, or saved records
  • Delivery destination and human review owner

How you provide it

  • Market brief
  • Spreadsheet of ZIP codes, cities, counties, or metro areas
  • Investment or acquisition criteria
  • Existing property or suppression list
  • Example underwriting, market, or CRM schema
  • Written source, licensing, attribution, retention, and review rules

The result

What this workflow delivers.

A repeatable property research feed for investors, agents, property managers, researchers, and market teams that need comparable listing records, filtered opportunities, and historical snapshots instead of manual searches across many locations.

Best for: Real-estate investors, agencies, brokers, property managers, acquisition teams, relocation teams, researchers, and market analysts.

Sources

  • Customer-approved locations such as ZIP codes, cities, counties, or metro areas
  • Selected listing purpose: rentals, for-sale, or sold properties
  • Permitted property and listing sources
  • Customer-defined price, bedroom, area, property-type, status, and freshness criteria

Output fields

  • Listing URL and property identifier
  • Address, city, state, ZIP or market area
  • Latitude and longitude when available and permitted
  • Property type, bedrooms, bathrooms, living area, lot size, year built, and price
  • Rental terms, sale status, sold date, days on market, price reductions, pending, or backup-offer signals when available
  • Photo count, floor-plan or virtual-tour availability, and public listing contact context when permitted
  • Source timestamp, listing status, availability state, deduplication key, and review status
  • Structured records for investment analysis, CRM, alerts, and AI research

Delivery options

  • CSV
  • JSON
  • Excel
  • Google Sheets
  • Airtable or property review table
  • Database or warehouse delivery
  • Scoped API or webhook
  • Market-change alerts

Operating scope

  • Agreed locations, property purpose, property types, listing statuses, price and size ranges, result volume, freshness, and source scope
  • Daily, weekly, or monthly market refresh
  • Approved and licensed sources

AI-ready delivery

Structured data your team and agents can rely on.

Receive normalized records directly or let an approved agent retrieve them through a scoped interface. Source evidence, transformations, timestamps, and exception states remain available for review.

Explore managed services for outreach and follow-up

Use it directly

  • CSV and JSON exports
  • Airtable or spreadsheet delivery
  • Database and warehouse-ready records
  • Customer-controlled backups

Connect approved agents

  • Scoped API or webhook access
  • Filter and retrieve defined records
  • Summarize, compare, classify, and cite
  • Route exceptions to a human owner

Keep control

  • Customer-owned resulting dataset
  • Raw and normalized values remain distinct
  • Model, API, hosting, and storage costs are scoped
  • No autonomous consequential authority

Configurable service

One workflow, configured around the decisions your team owns.

The modules describe business capabilities, not separate tools to operate. Select the coverage, filters, review rules, schedule, and destination during setup.

Available modules

  • Market criteria setup - define locations, property purpose, types, price, size, status, and freshness
  • Property record normalization - structure listing identity, address, price, property facts, status, and source URL
  • Market-change tracking - preserve new, changed, reduced, pending, sold, and unavailable states
  • AI-ready property records - keep stable identifiers, source timestamps, missing states, and review decisions
  • Investment and acquisition research - compare properties using customer-defined criteria and visible evidence
  • Delivery and alerts - provide approved records to tables, databases, APIs, or change-monitoring workflows
  • Managed workflow connection - connect approved opportunities to enrichment, human qualification, follow-up, and negotiation preparation
  • Human decision handoff - require owners for offers, applications, tenant decisions, and financial commitments

Business questions supported

  • Which properties match our location, price, size, and property-type criteria?
  • Which listings are new, changed, reduced, pending, under contract, or sold?
  • Which fields does AI need to compare properties without confusing listings or inventing missing values?
  • What source and timestamp support each price, status, address, or market signal?
  • Which properties need investor, acquisition, property-management, or legal review?
  • Which approved records should move into alerts, CRM, enrichment, follow-up, or negotiation preparation?
  • What source, licensing, attribution, retention, and human-approval rules apply?

Worked example

See what goes in and what comes back.

Examples show the delivery structure before setup. Names and values are illustrative, not client records or performance claims.

Example input

{
  "locations": ["Miami FL", "Tampa FL"],
  "property_purpose": "forSale",
  "property_types": ["singleFamily", "condo"],
  "price_range": {"min": 200000, "max": 500000},
  "bedrooms": {"min": 2, "max": 4},
  "days_on_market": "1_month",
  "only_price_reductions": false,
  "result_volume": 1000,
  "delivery": "Property review table"
}

Example delivery

Illustrative record
{
  "listing_url": "https://example.com/listing/synthetic-001",
  "property_id": "synthetic-property-001",
  "location": "Miami, FL",
  "property_type": "singleFamily",
  "listing_status": "forSale",
  "price": 425000,
  "bedrooms": 3,
  "bathrooms": 2,
  "living_area_sqft": 1800,
  "days_on_market": 12,
  "price_reduction": false,
  "source_checked_at": "2026-08-22T06:00:00Z",
  "review_state": "Needs human review",
  "example_status": "Synthetic example"
}

Installation path

From source approval to scheduled operation.

The first representative run is reviewed before the workflow becomes a recurring operation.

01

Define locations, property purpose, property types, price and size ranges, listing statuses, and required fields

02

Run a sample to review coverage, duplicate handling, property-group treatment, field quality, source permissions, and market interpretation

03

Confirm the output schema, record-volume quote, retention, delivery destination, and review rules

04

Collect and normalize selected property records with visible source and timestamp context

05

Preserve new, changed, unavailable, pending, and sold states as explicit records

06

Deliver the agreed dataset for human investment, acquisition, property-management, or market review

Managed history

Each run adds to a useful operating history.

Each market run is stored as a dated result set. Your team can compare listing price, status, availability, days on market, price changes, property details, source timestamps, and review decisions without silently overwriting earlier market observations.

Retention and portability

The $1,500 setup covers market-criteria discovery, source and permission review, field design, sample testing, output configuration, and launch preparation. Ongoing usage is quoted by expected record volume and agreed source scope. Refreshes, storage, external source costs, photos, enrichment, and alerts are scoped separately. The resulting property research records belong to the customer. Aineed Data retains only the managed copy and history agreed for operation. Deletion, portability, attribution, and exit-export terms are defined during setup.

What the accumulated history can support

  • Monitor selected rental, sale, or sold markets without repeated manual searches
  • Compare properties by price, size, type, location, status, and time on market
  • Identify new listings, price reductions, pending changes, or recently sold properties
  • Track entire markets or selected locations using agreed filters
  • Give AI stable listing identity, location, source, timestamp, and status fields for grounded comparison
  • Create investment, acquisition, property-management, relocation, and market briefs
  • Connect approved records to CRM, alerts, research, and managed workflows
  • Use multiple connected workflows for market discovery, enrichment, human qualification, approved follow-up, and negotiation preparation
  • Keep offers, applications, tenant decisions, and financial commitments with named human owners

Interpretation limits

History makes comparison possible, but it does not remove source limitations or turn signals into guaranteed business outcomes.

01

This is property research, not a guarantee that a listing is available, accurate, fairly priced, financeable, legally suitable, or a good investment

02

Coverage, freshness, address visibility, photos, contacts, estimates, and listing status vary by source and market

03

Prices, rents, availability, days on market, and estimates can change after collection

04

Apartment complexes or grouped listings may require separate interpretation from individual units

05

Photos, maps, reviews, agent information, and third-party fields may have separate rights and retention limits

06

Third-party property content cannot automatically be treated as a freely reusable permanent database

07

Usage is quoted by expected record volume and source scope; setup, refreshes, external costs, and managed services are separate

08

AI summaries and property scores must be checked against current source records and professional advice

09

Customers remain responsible for licensing, fair-housing, privacy, advertising, source terms, financial, legal, and downstream-use requirements

Safeguards

Automation stays inside agreed boundaries.

Access, retention, exports, and operating controls are confirmed for this workflow before launch.

01

Use only approved, licensed, or otherwise permitted property sources and collection methods

02

Do not treat a third-party listing source as permission to create an unrestricted public property directory or redistribute protected content

03

Property photos, reviews, agent details, maps, and contact fields require purpose-specific rights, attribution, retention, and downstream-use terms

04

No private-account access, credentials, cookies, session exports, or access-control bypassing

05

No autonomous offers, applications, purchases, tenant decisions, or financial commitments

06

AI may compare, summarize, classify, and flag; investment, tenant, offer, and legal decisions require human review

07

Customers remain responsible for fair-housing, privacy, licensing, source terms, advertising, and applicable-law requirements

Contour map illustrating connected systems, decision paths, and workflow movement

Request configuration

Configure Property Listing Intelligence.

Share the sources, rules, and destination. We’ll verify access and confirm the final setup and monthly operating scope.

Setup$1,500
ManagedQuoted by record volume
Normally liveConfirmed after sample

Workflow setup

Configure the workflow.

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