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How to pull a whole results table into JSON in one step with Vitre

Use extractRows to get one record per matching row, with each column scoped to its own row.

Authorization notice. Vitre is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA developer or data analyst who needs structured rows from a page rendered in an app WebView.

The problemPer-field extraction loses row alignment when one row is missing a value, so later records land on the wrong item.

The outcomeA JSON array of records in the workflow variable named by into, with missing values as empty strings inside their own row.

What you need first

  • Kotlin 2.3.10 Multiplatform project (Android minSdk 24, iOS 15.0+, or desktop with JetBrains Runtime and JCEF 21)
  • Maven Central access, which is the only setup needed for the published artifacts
  • Compose Multiplatform if you want the optional vitre-compose UI layer

Steps

  1. Add vitre-core to your commonMain dependencies as in the first use case.
  2. Write extractRows with a row locator, for example xpath("//li[@data-sku]"), and a limit.
  3. Add column entries with their own locators, using xpath(".") to read the row itself.
  4. Run the workflow with WorkflowEngine and read the variable named in into from the Completed event.

Prompt for your agent

Using the vitre-core dependency in <project-path>, write an extractRows step over <row-xpath> with columns <column-list> and a limit of <n>. Expected output: a JSON array with one record per matched row. Verify that a row lacking a column value has an empty string for that column and does not shift the other records.

Caveat. The README describes ExtractRows for matching rows on the page, but you must confirm the target page's markup supports the chosen XPath expressions before relying on the output.

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