Using Google Apps Script to Query the Notion API for Updating a Task Completion Chart

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1

Using Google Apps Script to query the Notion API with pagination to update a chart of completed tasks. Simplified code sample in markdown below.

function refreshCompletedTasks() {
  const notionEndpoint = 'https://api.notion.com/v1/databases/ABCDEF/query';
  const reqHeaders = {
    'Authorization': 'Bearer secret_ABC123',
    'Content-Type': 'application/json',
    'Notion-Version': '2022-06-28'
  };
  let pageToken = null;
  const queryOptions = {
    filter: { property: 'Status', status: { equals: 'Done' } },
    sorts: [{ property: 'Complete', direction: 'ascending' }]
  };

  do {
    const response = UrlFetchApp.fetch(notionEndpoint, {
      method: 'post',
      headers: reqHeaders,
      payload: JSON.stringify(queryOptions),
      muteHttpExceptions: true
    });
    const data = JSON.parse(response.getContentText());
    if (!data.next_cursor) break;
    pageToken = data.next_cursor;
  } while (true);

  const taskSheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName('ChartData');
  // Code to update taskSheet based on processed results
}
2

I have faced similar challenges while integrating Google Apps Script with the Notion API. In my project, handling pagination was essential since any mishandling could result in incomplete data, which affected the accuracy of our charts. I found that implementing robust error checks and logging detailed responses really helped in diagnosing issues early. Moreover, organizing the code structure to easily extend it for additional filters was beneficial when adjusting the query logic, particularly with updates on the data sheet. Overall, refining the script through iterative testing made the integration more reliable.

3

I encountered similar challenges while working with the Notion API in a production environment and found that using a token-based loop for pagination suited my needs best. I experimented with storing intermediate results to minimize repeated API calls and improved performance. I also integrated stricter response validation to ensure integrity when processing data from multiple pages. This approach allowed me to identify discrepancies early and simplify debugging, particularly when updating external resources like spreadsheets based on the fetched data.

4

hey i used a recursive approach for pagination and wrapped my fetch in a try/catch which savd me from blocking errors. updating the sheet per loop helped track changes realtime. works gr8 for me, u kno?

5

In my experience, working with the Notion API in a Google Apps Script environment can be challenging if you don’t have robust error handling. I found that implementing a method to store previous results while looping through pagination greatly improved stability and helped me detect missing data. Adding advanced logging allowed me to swiftly isolate recurring issues and test each iteration in isolation. Moreover, experimenting with different methods for pagination, like token iteration and recursive calls, really helped adapt to the occasional API quirks. Ensuring that each page of data is validated before updating your spreadsheet was essential for reliable performance.