API Pagination: The Right Way to Handle Large Datasets

API Pagination: The Right Way to Handle Large Datasets As of February 2026, poorly paginated APIs remain one of the top causes of client frustration and performance issues. Here is how to do it right. The Problem When your API returns thousands of records, sending everything at once is a disaster waiting to happen. Clients timeout, servers choke, and everyone has a bad time. 5 Pagination Best Practices 1. Use Cursor-Based Pagination Offset pagination seems easier but falls apart at scale. // Bad: Offset pagination breaks with large datasets GET / users ? page = 2 & limit = 50 // Good: Cursor-based is reliable GET / users ? cursor = eyJpZCI6MTAwfQ & limit = 50 Cursor pagination uses an opaque token (usually the last ID or a timestamp) instead of page numbers. It is faster and will not skip items when new data is inserted. 2. Always Return Metadata Clients need to know there is more data: { " data " : [...], " pagination " : { " next_cursor " : " eyJpZCI6MTAwfQ " , " has_more " : true ,