A property listing’s history: observation, publication and sale

Three different events hidden inside the word “history”

A listing page may be observed on one date, first published on another, then reposted or edited later. These events do not necessarily coincide. A service that keeps snapshots shows what it saw during collection: asking price, description, features and observation date. If a listing was not visible earlier, that does not prove it had just been published; collection may simply have begun later.

In Maisonnez history, a first-publication date may appear as an estimate when inferred from a listing identifier. The interface marks that estimate. A last-observed date instead indicates the latest time a version was collected. If an identifier changes when a listing is reposted, an estimate may start over with the new identifier. Do not present that calculated date as proof of the original publication.

For a sales file, retain the information needed to reconstruct your reading: a copy or reference for the listing, the date you viewed it and the asking price shown then. This internal record distinguishes an observation made by your team from a calculated date or information published by another source. It also makes it easier to revise a comparison when new evidence appears.

Separate asking prices from transaction prices

An asking price is a request at a particular moment. It may change, be negotiated or never result in a sale. A snapshot history helps show successive displayed amounts and their context; it does not reveal the final agreed price. A withdrawn listing does not establish that a sale took place either. A separate source is needed to document a transaction, and a further check is needed to match it to the property concerned.

In France, the official Demandes de valeurs foncières (DVF) database publishes property transactions from notarial deeds and cadastral information. It covers the previous five years and is refreshed periodically; a new release may also add records to earlier years. A DVF row and a listing are not automatically the same object: a sale may cover several parcels or units, and an address or area alone may not establish identity. Review the available transaction details and record your assumptions before comparing.

Understand DVF coverage and limitations

DVF is not a register of listings and does not provide their chronology. The public source has defined geographic and time coverage; it excludes, among other areas, Bas-Rhin, Haut-Rhin, Moselle and Mayotte. The absence of a result therefore does not prove that no transaction occurred. Check the coverage and the version consulted before interpreting a missing result or a comparison.

DVF amounts and listing prices have different definitions. Do not relabel deed-based amounts as “net seller price” or “fees included” without checking the official rules that apply and the transaction details. Fees, ancillary units and sale conditions can complicate a match. For a valuation, compare several genuinely similar transactions and explain differences in date, area, condition, shared ownership and location.

An energy assessment answers a different question

An energy performance assessment describes a home’s energy performance and greenhouse-gas emissions under its own framework. It can help compare properties and plan works, but it does not certify when a listing was published or whether a sale took place. An energy label shown in a listing should be checked against the corresponding assessment and its validity date. ADEME states that the general validity period for a DPE is ten years, with specific rules for certain older assessments.

Keep separate columns in your analysis: observation date, known or estimated publication date, observed asking price, documented transaction date and amount, then diagnostics. This separation prevents a sequence of clues from turning into a falsely certain story. When property identity, coverage or timing remains ambiguous, say so instead of forcing a match.

A practical check before drawing conclusions

• Note whether each date is observed, stated by a source or estimated.
• Compare asking prices with asking prices, and transactions with transactions.
• Confirm that the transaction concerns the same home, unit and period.
• Check DVF coverage and release before interpreting missing data.
• Keep matching uncertainties in the summary.