Transferring Filtered Web Table Data to Google Sheets via Apps Script

Other Questions Google Sheets
1

I need to forward visible table rows from my webpage to a designated column in Google Sheets using Google Apps Script. Example code:

function showConfirmation() {
  alert('Submission successful!');
}

function submitVisibleData() {
  let tbl = document.getElementById('dataTable');
  let rowsArray = Array.from(tbl.rows);
  let visibleRows = rowsArray.filter(row => row.style.display !== 'none');
  if (visibleRows.length) {
    let firstCellValue = visibleRows[0].cells[0].innerText;
    google.script.run.withSuccessHandler(showConfirmation).updateColumn(firstCellValue);
  }
}
2

I have encountered a similar transfer requirement while working with dynamic web tables and Apps Script. In my experience, one critical adjustment was to decouple data extraction from the display logic, which allowed for device-independent handling of visible rows. Integrating a mechanism to continuously poll or observe table changes before triggering the script also improved reliability. Furthermore, encapsulating the data update in a try-catch block provided valuable feedback when discrepancies arose, ensuring a more robust bridge between the web client and Google Sheets.

3

I have faced similar challenges transferring specific table data over to Google Sheets using Apps Script. In my project, I expanded the approach by transferring multiple cell values from each visible row rather than just the first cell. I also implemented error logging to help trace any issues with the script execution. What helped most was ensuring the web page fully loaded the table before filtering, which prevented missing entries. Additionally, I improved overall efficiency by batching updates instead of making multiple individual calls to the Sheets API.

4

hey, i had the same issue. after some tinkering, adding a slight delay for the table to fully load solved my problem. it allowed the script to catch all visible rows properly. give it a shot and see if it works for you.

5

In my experience, the key to making data transfer reliable is ensuring that the table elements are fully rendered and available before initiating the update to Google Sheets. I found that relying solely on time delays sometimes fails in conditions of erratic loading or slower network responses. Instead, I implemented a recursive check to confirm that all necessary table rows were visible, which ultimately provided more consistent results. This method allowed the script to robustly capture only the active data, making the overall process more dependable under varying conditions.