Retrieving linked table information in Notion

I’m having trouble getting data from related columns in my Notion tables. When I try to fetch info from these linked columns, I don’t get any details about the connected blocks. Does anyone know a good way to pull this data?

Here’s a basic example of what I’m doing:

notion_client = NotionAPI(token)
table = notion_client.fetch_table('my_table_id')
for row in table.get_rows():
    linked_data = row.get_property('linked_column')
    # linked_data is empty or doesn't have the info I need

I’ve tried a few different approaches, but I can’t seem to get the full information from the linked tables. Any tips or tricks would be really helpful. Thanks!

Having worked with the Notion API extensively, I can offer some insight into retrieving data from linked tables. The key is to make multiple API calls. First, query your main database to get the IDs of the linked items. Then, use those IDs to make individual GET requests for each related page’s details.

Here’s a basic approach:

  1. Query your main database
  2. Extract the IDs from the linked column
  3. For each ID, make a separate API call to fetch the full page data

This method is less efficient for large datasets but currently the only way to get comprehensive information from linked tables. Ensure your integration has proper access to both databases and implement error handling for rate limits.

Also, check that you’re using the latest API version in your requests. The properties object in recent versions only contains property IDs, so you may need additional calls to retrieve full property details.

As someone who has worked extensively with Notion’s API, I can share some insights on how to handle retrieving data from linked tables. In my experience, the process requires making multiple API calls rather than relying on a single query. First, you need to query your main database to obtain the IDs of the linked items, then use those IDs to make individual GET requests to fetch the details of each related page. Although this approach can be less efficient for larger datasets, it is currently the only method to access comprehensive information from linked tables. Also, be sure your integration has proper access to both databases and implement robust error handling to manage rate limits and other potential issues.