Tutorial : Efficiently Fetch All Records from a Paginated REST API and Write to BigQuery

[harishgoogler]

In the world of APIs, pagination is a common practice for managing large datasets. However, fetching all records efficiently from a paginated REST API can be challenging, especially when dealing with large-scale data. In this tutorial, we demonstrate how to leverage Google Cloud Application Integration to handle pagination using recursive logic while making parallel API calls for optimized performance. Once the data is fetched, we’ll guide you on writing the results to BigQuery or Cloud SQL.

To make this tutorial more actionable, check out our two-part video series on YouTube:

1.Fetching paginated results from a REST API

2.Writing the fetched results to BigQuery

Key Objectives

•Understand the concept of recursive logic in API pagination.

•Utilize parallel calls to optimize API performance.

•Learn to write results seamlessly to Google Cloud’s BigQuery or Cloud SQL.

Watch the Video Tutorials

For a detailed walkthrough, watch our YouTube videos:

1.Fetching Paginated Results from a REST API: Learn the fundamentals of recursive logic and parallel API calls.

2.Writing Results to BigQuery: Master the process of loading API data into BigQuery with ease.