How to load data from n8n to BigQuery

Learn how to use Airbyte to synchronize your n8n data into BigQuery within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a n8n connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up BigQuery for your extracted n8n data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the n8n to BigQuery in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

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"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

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How to Sync to Manually

Step 1: Set Up Google Cloud Project

Begin by setting up a Google Cloud Project if you haven't already. Navigate to the Google Cloud Console, create a new project, and enable the BigQuery API for this project. This is a necessary step to ensure you have the resources and permissions to interact with BigQuery.

In the Google Cloud Console, navigate to the IAM & Admin section and create a new Service Account. Assign roles such as 'BigQuery Data Editor' and 'BigQuery User' to allow access to BigQuery. Download the JSON key file for this Service Account, as it will be used for authentication in n8n.

In BigQuery, create a new dataset to store your data. Within this dataset, create a table with the appropriate schema that matches the data you intend to transfer from n8n. This includes defining the table fields and their data types.

Open n8n and start a new workflow. Use the HTTP Request node to construct the necessary API requests to interact with BigQuery's REST API. This involves setting the request method, URL, and headers including authorization with the service account credentials.

Implement OAuth 2.0 for authenticating API requests. Use the JSON key file from your service account to generate a JWT token. Include this token in the Authorization header of your HTTP requests. This will allow n8n to securely communicate with BigQuery.

Before sending data from n8n, ensure it is formatted correctly as per BigQuery's requirements. Convert your data into JSON format and structure it according to the schema of your BigQuery table. This step is crucial to avoid data import errors.

Use the configured HTTP Request node in your n8n workflow to send a POST request to the BigQuery API endpoint for data insertion. Include the formatted JSON data in the request body. Execute the workflow to complete the data transfer process and verify that the data has been successfully inserted into your BigQuery table.

By following these steps, you should be able to transfer data from n8n to BigQuery without relying on any external connectors or integrations.