How to load data from WooCommerce to BigQuery

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a WooCommerce 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 WooCommerce 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 WooCommerce 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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How to Sync to Manually

Step 1: Set Up WooCommerce REST API

Begin by enabling the REST API in your WooCommerce store. Navigate to WooCommerce > Settings > Advanced > REST API. Create a new API key, assigning it a description, and set permissions to "Read/Write." This will generate a Consumer Key and Consumer Secret needed for API access.

Use the WooCommerce REST API to export data. You can access various endpoints such as orders, customers, and products. Use a tool like cURL or a custom script in a language like Python to send GET requests to these endpoints. Ensure you use the Consumer Key and Secret for authentication. Collect the data in a structured format like JSON or CSV.

Once you have the data in JSON or CSV format, clean and transform it as needed. Ensure that the data types are consistent with BigQuery's requirements (e.g., dates, numbers, strings). You might need to convert date formats or handle nested JSON structures appropriately.

If not already done, create a Google Cloud Platform (GCP) project. Go to the Google Cloud Console and create a new project. Enable the BigQuery API for this project by navigating to APIs & Services > Library and searching for "BigQuery API" to enable it.

In the BigQuery console, create a new dataset to store your WooCommerce data. Navigate to the BigQuery section of the Cloud Console, select your project, and click "Create Dataset." Name your dataset and configure any necessary location or expiration settings.

Use the Google Cloud SDK to upload your data. Install and configure the Google Cloud SDK on your local machine. Use the `bq` command-line tool to upload your CSV or JSON files into the BigQuery dataset. For example, use a command like:
```
bq load --autodetect --source_format=CSV [DATASET_NAME].[TABLE_NAME] [FILE_PATH] [SCHEMA]
```
Adjust the command as necessary for JSON files and provide the schema if autodetection is not adequate.

To keep your BigQuery data up-to-date, automate the data extraction and loading process. Write a script in Python or another language to periodically fetch data from WooCommerce and load it into BigQuery. Use Google Cloud functions or a cron job on your server to schedule these scripts to run at regular intervals.

By following these steps, you can efficiently migrate data from WooCommerce to BigQuery without relying on third-party connectors or integrations.