How to load data from Typeform to BigQuery

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

Try Airbyte Cloud Manual method (the hard way)

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Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Typeform 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 Typeform 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 Typeform 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.

Try Airbyte Cloud Manual method (the hard way)

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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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Try Airbyte Cloud Manual method (the hard way)

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Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

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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: Export Data from Typeform

Begin by logging into your Typeform account. Navigate to the form whose data you wish to export. Typeform allows you to manually export data in CSV format. Click on the “Results” tab, select “Responses” and then click on the “Export” button to download your data as a CSV file to your local machine.

Step 2: Prepare the Data for Upload

Open the exported CSV file to ensure that the data is clean and formatted correctly. Check for any inconsistencies, such as missing headers or irregular data types, and correct them. This step is crucial to prevent errors during the upload to BigQuery.

Step 3: Set Up Google Cloud Platform (GCP)

If you haven’t already, create a Google Cloud Platform account. Once logged in, create a new project in the Google Cloud Console, which will be used to manage your BigQuery datasets. Ensure you have billing enabled for your GCP account as BigQuery requires it for data storage and querying.

Step 4: Create a BigQuery Dataset

In the Google Cloud Console, navigate to BigQuery. From the BigQuery interface, click on “Create Dataset” to create a new dataset where your Typeform data will be stored. Specify the dataset ID and choose the appropriate data location and expiration settings according to your needs.

Step 5: Define the Table Schema

Before uploading your CSV data, you need to define the schema of the BigQuery table. Use the information from your CSV headers to establish the table schema, specifying field names and data types (e.g., STRING, INTEGER, FLOAT, BOOLEAN, etc.). This can also be done directly during the data upload process in the BigQuery interface.

Step 6: Upload the CSV to BigQuery

In BigQuery, click on your dataset and choose “Create Table.” As the source, select “Upload” and then browse to the CSV file on your local machine. Configure the destination settings by specifying the table name and using the schema defined in the previous step. Choose CSV as the file format and configure any additional options, such as field delimiter or header row options. Click “Create Table” to upload your data.

Step 7: Verify Data Integrity

After the upload is complete, it's important to verify that the data has been correctly imported. Use the BigQuery interface to run basic SQL queries to check the data in the table. Look for any discrepancies or errors in the data types and values. Make any necessary adjustments by re-uploading the corrected data if needed.

By following these steps, you can effectively move data from Typeform to BigQuery without relying on third-party connectors or integrations.