Automate repetitive browser work by defining the finished result before you automate the clicks.

Choose a result that someone can inspect.

“Open these sites and update the sheet” leaves too much room for interpretation.

“Return account name, renewal date, current price, source URL, and an exception note for every row” gives the work a finish line.

Start by writing the output columns and the rule for a missing answer. Strawberry can use that definition to organise the browser work around the result instead of blindly replaying a brittle sequence of clicks.

Keep the evidence beside the extracted value.

A date copied into a spreadsheet is hard to audit when no one knows which page supplied it.

Ask for a source link, page label, time checked, and a note when the wording is ambiguous.

That makes a large run reviewable in samples. It also reveals where a website changed its layout or where the operating rule needs refinement before the task is repeated.

Separate preparation from the action that changes something.

Collecting product data and drafting a form are usually preparation tasks.

Submitting the form, creating a purchase order, sending a customer message, or overwriting a record changes the world outside the browser.

Give the workflow a stop condition before that boundary. Strawberry can complete the legwork and present the final fields, recipient, destination, or amount so the right person can make the last decision.

Save the rules only after the first result is trustworthy.

A useful recurring process includes the source list, extraction rules, exceptions, required proof, output columns, and its stop condition. Capture those details in a Strawberry skill after a human has reviewed a real run.

A routine can then prepare the same operational result at a set cadence. Keep the automated scope narrow enough that a changed website or unusual case becomes an exception, not a silent guess.

Frequently asked questions