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French Property Market Intelligence

Turn approved French sale and rental searches into timestamped property, price-per-square-metre, energy, location, amenity, and agency evidence.

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

  • Approved French locations, search URLs, transaction and property types
  • Price, surface, room, amenity, energy, and date filters
  • Required listing, location, agency, image, and change fields
  • Address and coordinate minimization rules
  • Frequency, listing limits, history, delivery, and named reviewers

How you provide it

  • Setup form
  • Approved public search URL list
  • Location and property-filter spreadsheet
  • Property research brief
  • Example evidence table or API schema
  • Written address, retention, and review rules

The result

What this workflow delivers.

A source-linked French property dataset that teams and approved AI agents can search, compare, summarize, and route into accountable market, acquisition, and research review.

Best for: Property investment, development, advisory, valuation support, relocation, asset management, agencies, and market-research teams studying approved French locations.

Sources

  • Approved public French property search and listing pages
  • Customer-supplied cities, postcodes, departments, neighbourhoods, transaction types, property types, and filters
  • Public listing metadata, descriptions, images, energy labels, coordinates, and agency information when displayed

Output fields

  • Listing ID, canonical source URL, title, transaction type, property type, observed status, and source timestamp
  • Displayed price or rent, currency, surface, calculated price per square metre, rooms, bedrooms, bathrooms, floor, and year built
  • City, postcode, arrondissement, displayed address precision, and coordinates when publicly available
  • Energy-performance class, emissions class, features, amenities, image locators, agency name, and listing reference
  • New, changed, removed, relisted, duplicate, unavailable, partial, blocked, ambiguous, or review-required state
  • Raw source values kept separate from normalized locations, calculations, comparisons, and inferred events

Delivery options

  • CSV download
  • JSON download
  • Airtable property table
  • Google Sheets
  • Property change-event table
  • Database or warehouse-ready records
  • Scoped API endpoint
  • Webhook-ready update feed

Operating scope

  • Quoted by searches, geographies, listings, details, images, frequency, history, and review requirements
  • Daily, weekly, or monthly
  • Public 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.

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

  • Location and listing discovery
  • Property detail structuring
  • Price and surface normalization
  • Energy and amenity evidence
  • Change-event history
  • AI-ready retrieval and exception review

Business questions supported

  • What asking-price and inventory patterns are visible by approved location and property type?
  • Which listings are new, changed, possibly removed, relisted, blocked, or review-required?
  • How do visible price-per-square-metre and energy-class distributions compare?
  • Which source values and assumptions require professional valuation or legal review?

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": [
    "Paris 11e",
    "Lyon 3e"
  ],
  "transactions": [
    "sale",
    "rent"
  ],
  "property_types": [
    "apartment"
  ],
  "max_listings": 200,
  "fields": [
    "price",
    "surface",
    "rooms",
    "energy_class"
  ],
  "delivery": [
    "Airtable",
    "Scoped API"
  ]
}

Example delivery

Illustrative record
{
  "listing_id": "synthetic-fr-101",
  "city": "Paris",
  "arrondissement": "11e",
  "transaction": "sale",
  "property_type": "apartment",
  "price_raw": 640000,
  "currency": "EUR",
  "surface_raw_sqm": 64,
  "price_per_sqm_calculated": 10000,
  "energy_class_raw": "C",
  "observed_state": "new",
  "collected_at": "2026-08-19T09:00:00Z",
  "example_status": "synthetic"
}

Installation path

From source approval to scheduled operation.

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

01

Confirm approved locations, transactions, property types, price and size filters, fields, and business questions

02

Run a sample and inspect listing coverage, addresses, coordinates, energy labels, images, agencies, and blocked states

03

Agree listing identity, price-per-square-metre calculation, relisting and removal rules, cadence, retention, and delivery

04

Collect approved public listing observations within documented source and request boundaries

05

Keep displayed values separate from normalized values, calculations, and possible change events

06

Emit definitive removal or relisting states only from eligible complete runs and route uncertainty to human review

Managed history

Each run adds to a useful operating history.

Recurring runs append timestamped listing, price, surface, energy, agency, image, availability, and source-health observations without silently replacing previous states.

Retention and portability

The resulting dataset belongs to the customer. Delivery supports CSV, JSON, Airtable, databases, warehouses, webhooks, scoped APIs, and customer-controlled backups. Address precision, image retention, history, deletion, portability, and exit exports are agreed during setup.

What the accumulated history can support

  • Let an approved AI agent retrieve listings by location, transaction, property type, price, surface, rooms, energy class, or observed state
  • Generate source-linked market, price-per-square-metre, energy-performance, amenity, and inventory summaries
  • Compare locations while retaining differences in listing mix, timing, duplication, and source coverage
  • Detect newly observed, changed, removed, relisted, blocked, or review-required listings
  • Route potential acquisition, valuation, lending, tenancy, and legal questions to qualified human reviewers

Interpretation limits

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

01

Public listing coverage is not exhaustive and varies by location, filters, source ranking, and collection time

02

Listing price is an asking value, not a transaction price, valuation, yield, or proof of availability

03

Addresses, coordinates, surface, room counts, energy labels, images, agency details, and descriptions can be missing, stale, rounded, or inaccurate

04

Calculated price per square metre depends on displayed price, transaction type, and surface assumptions

05

Removal can mean sold, rented, withdrawn, expired, blocked, changed, or temporarily unavailable

06

Duplicate and relisted properties can be difficult to match across changed identifiers, agencies, images, and descriptions

Safeguards

Automation stays inside agreed boundaries.

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

01

Approved public property sources and documented property-research purpose only

02

No access-control, challenge, anti-bot, licensing, geographic, or request-limit bypass positioning

03

No passwords, sessions, cookies, tokens, private portals, or owner contact details requested

04

Street-level address and coordinates are minimized or excluded when not necessary for the approved purpose

05

Energy labels, agency details, availability, price, and property attributes remain source claims

06

No autonomous offer, valuation, lending, tenancy, eligibility, acquisition, or investment decision

07

No source affiliation, exhaustive coverage, legal-status, property-condition, title, valuation, or availability guarantee

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

Start setup

Configure French Property Market Intelligence.

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

Setup$700
ManagedQuoted by geography and listing volume
Normally liveConfirmed after sample

Workflow setup

Configure the workflow.

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