Reducing Notion API Payloads with Server-Side Filters and Cursors
Use Notion's nested filter blocks and start_cursor pagination to fetch only the data your integration needs, reducing requests and rate-limit risk.
ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Use Notion's nested filter blocks and start_cursor pagination to fetch only the data your integration needs, reducing requests and rate-limit risk.
Bounding total results from a Notion database query for a large dataset requires understanding pagination behavior and result metadata. The query endpoint supports cursor pagination with page_size and start_cursor, and responses include has_more and next_cursor. No total result count is returned in the documented response shape, so bounding total size would
Supported feature and symptom The Notion API's query database endpoint accepts filter objects for a defined set of property types — title, rich_text, number, select, multi_select, date, checkbox, url, email, phone_number, created_time, last_edited_time, created_by, and last_edited_by. Formula, rollup, and relation properties are not included in this allowlis
When retrieving large datasets from a Notion database via the API, developers must manage the volume of data returned per request to prevent client-side memory exhaustion or request timeouts. The API provides page_size to control the number of results per page, alongside start_cursor for pagination. There is a trade-off between adjusting the transport volume
Problem: Large dataset in State causes WebSocket timeout In Reflex, a centralized State class synchronizes variables between the Python backend and the React frontend over a WebSocket connection. When a State variable holds thousands of records, the JSON payload generated for each update can exceed typical browser or server limits, leading to a WebSocket pay