How to load data from SurveySparrow to BigQuery

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a SurveySparrow 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 SurveySparrow 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 SurveySparrow 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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"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 Survey Data from SurveySparrow

Begin by logging into your SurveySparrow account. Navigate to the survey whose data you wish to export. Use the built-in export functionality to download the survey responses. Typically, SurveySparrow allows you to export data in formats like CSV or Excel. Choose CSV for compatibility with BigQuery.

Once you've downloaded the CSV file, open it in a spreadsheet program like Microsoft Excel or Google Sheets. Review the data to ensure there are no errors or inconsistencies. Clean the data by removing any unnecessary columns or correcting any formatting issues. Save the cleaned file as a CSV.

Go to the Google Cloud Console and create a new project if you haven't already. This project will be the environment where your BigQuery dataset will reside. Note the Project ID, as you will need it for further steps.

In the Google Cloud Console, navigate to the "APIs & Services" section and enable the BigQuery API for your project. This will allow you to access BigQuery services and perform operations such as loading data.

In the BigQuery section of the Google Cloud Console, create a new dataset where your data will be stored. Within this dataset, define a table with a schema that matches the structure of your CSV file. Ensure that the data types for each column in your BigQuery table are compatible with the CSV data.

Use the BigQuery web interface to upload your CSV file. In the BigQuery Console, select your dataset, click on "Create Table," and choose "Upload" as the source. Select your CSV file for upload and configure the schema settings according to your table definition. Confirm and start the upload process.

After the upload is complete, run a few simple queries in the BigQuery Console to verify that the data has been imported correctly. Check for any discrepancies or errors by comparing a sample of the data in BigQuery with the original CSV file. If you spot any issues, address them by re-evaluating your CSV preparation and upload steps.

By following these steps, you'll efficiently transfer your survey data from SurveySparrow into BigQuery without relying on external connectors or integrations.