Automate real estate listing alerts by filtering the new listings before they interrupt your day.

Turn the brief into a testable filter.

“Good apartment” is not a filter.

Start with the non-negotiables and the trade-offs: neighbourhoods, maximum total cost, minimum rooms, commute limit, move-in window, tenure, and features worth stretching for.

Ask Strawberry to apply those fields to the listings you already monitor. It should mark a property as a match, a partial match, or insufficiently described rather than inventing a score from sparse data.

Read the listing page, not only the alert text.

Email alerts often omit the details that change the decision: monthly fees, floor, square metres, tenure, deposit, viewing date, or exclusions. Open the listing and capture those facts with the URL beside them.

This gives you a shortlist that says why a property surfaced and what still needs a call, viewing, or document check.

Rank the options against the actual trade-offs.

The lowest asking price may have the longest commute, the smallest usable layout, or an inflexible viewing window. Put the candidates in a small comparison with the factors you actually care about.

Use a prompt such as: “Compare these six listings against our brief. Do not recommend one until you state the missing information and trade-off for each.” That keeps the recommendation legible.

Let the routine watch, but keep the move human.

Once the filters are stable, save the shortlist format as a property-search skill.

A routine can check the selected saved searches and leave new matches with their evidence in the morning or evening.

Do not let an alert turn into an enquiry, viewing booking, deposit, or offer by default. Those actions need the correct property, person, amount, and terms confirmed in the moment.

Frequently asked questions