Pagination is a crucial aspect of API design, enabling efficient data retrieval and enhancing user experience. By breaking down large datasets into manageable chunks, APIs can return results that are faster and easier to navigate. Below, we present three diverse examples of pagination techniques commonly used in APIs, each with its own context and implementation.
Offset-based pagination is one of the simplest and most commonly used techniques. This method relies on two parameters: offset
and limit
. It allows clients to specify how many records to skip and how many records to fetch.
GET /api/v1/products?offset=20&limit=10
This request fetches 10 products starting from the 21st product in the dataset (skipping the first 20). The limit
parameter controls the number of items returned, which is crucial for performance in large datasets.
Cursor-based pagination is more efficient for large datasets, especially when the data is frequently updated. It uses a unique identifier (cursor) to mark the place in the dataset from which to continue fetching data.
GET /api/v1/users?cursor=eyJpZCI6MSwiaWF0IjoxNTk2MjI4MjY4fQ&limit=5
In this case, the cursor
parameter holds an encoded string representing the last record fetched. This allows the API to return the next 5 users starting from that cursor, without needing to skip records.
Page number pagination is another common method that allows users to navigate through pages of results using a page
parameter and a page_size
parameter. This method provides a clear structure for users who are accustomed to viewing results in pages.
GET /api/v1/articles?page=3&page_size=10
This request fetches the third page of articles, with each page containing 10 articles. The API will calculate the offset based on the current page and page size.
When designing APIs, choosing the right pagination technique is essential for performance and user experience. Each method has its advantages and limitations, so it’s crucial to assess the specific needs of your application and dataset.