SQL functions in Google Sheets to fetch data from Datasette
Summary
This article details methods for integrating data from a Datasette instance directly into Google Sheets. It explores three distinct approaches: using the native `importdata()` function, creating a custom "named function" that encapsulates `importdata()`, and employing a Google Apps Script. The Apps Script method is particularly useful for scenarios requiring an API token in the HTTP header, a capability not supported by the standard `importdata()` function. An example Google Sheet is provided to demonstrate the practical application of all three data fetching techniques, offering a clear guide for users seeking to display Datasette data within their spreadsheets.
Key takeaway
For data analysts or developers needing to visualize Datasette data in Google Sheets, understanding these integration methods is crucial. If your data requires authentication via an API token, you must use Google Apps Script, as `importdata()` lacks this functionality. Otherwise, named functions provide a cleaner, reusable way to embed Datasette queries directly into your spreadsheets, streamlining data reporting and analysis workflows.
Key insights
Integrate Datasette data into Google Sheets using `importdata()`, named functions, or Google Apps Script for API tokens.
Principles
- HTTP headers require Apps Script
- Named functions simplify `importdata()`
Method
Fetch Datasette data using `importdata()` for basic CSV/TSV, wrap it in a named function for reusability, or use Google Apps Script for authenticated API requests.
In practice
- Use `importdata()` for public data
- Create named functions for common queries
- Implement Apps Script for secure data
Topics
- Datasette
- Google Sheets
- SQL Data Fetching
- importdata() Function
- Google Apps Script
Best for: Data Analyst, Data Scientist, Analytics Engineer
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Simon Willison's Weblog.