Weatherstack API connector

Set up the Weatherstack API connector in Kaivo: authentication, configuration, the 4 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 1 hour ago

Kaivo is a fully managed data platform that syncs your Weatherstack API data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your data from Weatherstack API instead of moving it.

What is the Weatherstack API connector

Sync your Weatherstack conditions and forecasts into BigQuery with Kaivo to analyse weather over time and relate it to your business data.

Category	Other
Status	Generally available
Authentication	API key
Setup	Self-service

Getting started with the Weatherstack API connector

Sign up for Kaivo and create a workspace.
Connect your Weatherstack API account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Weatherstack API

Authenticate with your API Access Key.

Field	Description
API Access Key	Your Weatherstack API access key.

Configuring the Weatherstack API connector

When you set up the connector, you provide:

Field	Description
Location Query	A location to query — city name, IP address, latitude/longitude, or ZIP code. Separate multiple locations with semicolons (professional plan or higher required for multiple locations).
Historical Date	Date for historical weather data in YYYY-MM-DD format. Only supported on paid Weatherstack plans.

Tables and columns synced from Weatherstack API

Kaivo syncs 4 tables from Weatherstack API into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Weatherstack API sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Weatherstack API supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Weatherstack API?

It depends on how much history is in your Weatherstack API account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Weatherstack API's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Weatherstack API, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Weatherstack API instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Weatherstack API connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Weatherstack API data

Weather history

Use historical to track past conditions by location.

Demand correlation

Join weather with your sales data to see how conditions affect demand.

Forecast planning

Use forecast to plan around upcoming conditions.

Multi-site view

Use location_lookup to report on conditions across your locations.

Use Weatherstack API data in your AI and BI tools

Once Weatherstack API data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Weatherstack API data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Weatherstack API connector pricing and plan details.

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