Google BigQuery and HTTP Request integration
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How to connect Google BigQuery and HTTP Request
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure Google BigQuery and HTTP Request nodes
You can find Google BigQuery and HTTP Request in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google BigQuery and HTTP Request nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Google BigQuery and HTTP Request
A connection establishes a link between Google BigQuery and HTTP Request (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your Google BigQuery and HTTP Request integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google BigQuery and HTTP Request with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Google BigQuery and HTTP Request workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google BigQuery to HTTP Request or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Send location updates of the ISS every minute to a table in Google BigQuery
This workflow allows you to send position updates of the ISS every minute to a table in Google BigQuery.
Cron node: The Cron node will trigger the workflow every minute.
HTTP Request node: This node will make a GET request to the API https://api.wheretheiss.at/v1/satellites/25544/positions to fetch the position of the ISS. This information gets passed on to the next node in the workflow.
Set node: We will use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow.
Google BigQuery: This node will send the data from the previous node to the position table in Google BigQuery. If you have created a table with a different name, use that table instead.
Nodes used in this workflow
Popular Google BigQuery and HTTP Request workflows
Send location updates of the ISS every minute to a table in Google BigQuery
Build your own Google BigQuery and HTTP Request integration
Create custom Google BigQuery and HTTP Request workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Google BigQuery and HTTP Request integration details
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