Advanced API Usage: Pagination, Filtering, and Handling Large Datasets
Explains how to navigate APIs that return large datasets by automating pagination with a while loop, applying query-parameter filters to narrow results, and combining both techniques in a single request cycle. Demonstrates storing paginated API responses in a local SQLite database to avoid holding everything in memory, and shows how to use Python's streaming support to process chunked responses. Includes a practical exercise that fetches and persists GitHub user data page by page.