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Google BigQuery
HTTP Request
integrationGoogle BigQuery node
integrationHTTP Request node

Google BigQuery and HTTP Request integration

n8n lets you integrate Google BigQuery with HTTP Request to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services. You can choose from thousands of ready-made apps or use our universal HTTP connector to sync apps not yet in our library.

Integrate Google BigQuery and HTTP Request

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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.

How to connect Google BigQuery and HTTP Request

  • Step 1: Add the first step

  • Step 2: Add Google BigQuery and HTTP Request nodes

  • Step 3: Connect Google BigQuery and HTTP Request

  • Step 4: Run workflow

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.

workflow-screenshot

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

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Popular Google BigQuery and HTTP Request workflows

HTTP Request node
Google BigQuery node

Send location updates of the ISS every minute to a table in Google BigQuery

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Google BigQuery supported actions

  • Database
Execute Query
Execute a SQL query
Insert
Insert rows in a table

Google BigQuery and HTTP Request integration details

integrationGoogle BigQuery node
Google BigQuery

Many businesses use the Google Cloud service BigQuery for data reporting. BigQuery is categorized as an Advanced Data Connector. The amount of data that needs to be processed could be quite large (up to 10,000 columns and tens of millions of rows).

integrationHTTP Request node
HTTP Request

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Why use n8n to integrate Google BigQuery with HTTP Request

Build complex workflows, really fast

Build complex workflows, really fast

Handle branching, merging and iteration easily.
Pause your workflow to wait for external events.

Code when you need it, UI when you don't

Simple debugging

Your data is displayed alongside your settings, making edge cases easy to track down.

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Use 1000+ workflow templates available from our core team and our community.

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