Connect Shopify to BigQuery
Easily integrate your Shopify data into BigQuery with Windsor.ai ETL connectors in minutes—no maintenance required. Our no-code platform automates reporting and uncovers actionable insights into the buyer’s journey and shopping trends, helping you boost conversion rates and sales for your eCommerce business.

Scale your eCommerce business with Shopify to BigQuery integration
By extracting, transforming, and loading Shopify data into BigQuery, Windsor.ai connectors streamline marketing automation and provide unified data insights into your online store’s performance.
This integration fosters business growth and scalability by addressing key data management challenges and delivering additional crucial benefits:
Automate large-scale data synchronization
The Shopify to BigQuery integration transforms the way you manage data transfer, especially at scale. Unlike manual data exports, which often leave data siloed and hinder efficient collaboration, Windsor.ai automatically syncs all of your store’s data. This ensures your teams have continuous access to an up-to-date database, either in real-time or on a scheduled basis.
Automate custom reporting
Integrating Shopify data with BigQuery through Windsor.ai enables automated, customizable reports and monitoring dashboards. This drastically reduces the time required to gain actionable insights into your eCommerce performance and reduces the cost and effort of creating marketing reports from scratch.
Make data-driven decisions
By analyzing integrated Shopify data in BigQuery, you can make well-informed decisions across various aspects of your store. Use the insights gained to identify opportunities for enhancing your eCommerce platform, refining product offerings, and boosting sales.
Increase conversion rates
Automating the integration of Shopify data helps boost your conversion rates by providing in-depth marketing analytics on your store’s effectiveness across various channels and campaigns. Analyze unified data to optimize customer engagement at every stage of the sales funnel.
Enhance team collaboration
The Shopify to BigQuery integration creates a unified source of truth that is accessible to all team members in your organization at any point. This fosters more effective collaboration, strengthens decision-making, and drives better results across all your teams.
Using Windsor.ai connector to import data from Shopify to BigQuery
While there are various methods to sync Shopify data to BigQuery, many of them are costly, time-consuming, and require technical expertise.
This is where Windsor.ai comes in. Our easy-to-use ELT connector allows you to transfer your Shopify data into BigQuery in a fully automated, hassle-free way to unlock valuable insights to optimize sales, improve customer engagement, and scale your eCommerce success.
With Windsor.ai, you can:
- Set up automated reports to track key metrics without manual effort or technical expertise.
- Leverage BigQuery’s powerful tools for in-depth website performance analysis and customer behavior insights.
- Define actionable strategies based on data-driven insights to optimize your store’s performance.
- Use a variety of pre-built Shopify templates to tailor your reports to your unique business needs.
How to connect Shopify to BigQuery in Windsor.ai
Check out our video tutorial and a step-by-step guide to easily send your Shopify data to BigQuery using Windsor.ai.
1. Register
Create a new account or log in if you already have one.
2. Select your data source
Choose Shopify as your data source and grant access to Windsor.ai.
3. Select your destination
Set BigQuery as the destination for your data.
4. Create a destination task
Click on the “Add Destination Task” button and fill out the required fields.
5. Sync your data
In the final step, grant access to the user: [email protected].
That’s it! Now, your Shopify data will start syncing and automatically populate into your BigQuery account.
*Note: As the connector URL, you can use any URL providing a JSON—whether from connectors or a URL with cached and transformed data.
FAQs
Which data can be transferred from Shopify to BigQuery?
When integrating Shopify with BigQuery, you can transfer various types of data from your online store for analysis and reporting. Here are some examples:
- Orders: Data related to orders placed in your Shopify store, including order ID, customer details, order status, order total, shipping information, and more.
- Products: Data related to the goods available in your Shopify store, including product descriptions, variants, prices, inventory levels, and product categories.
- Customers: Customer data, including customer names, contact information, purchase history, customer tags, and customer segments.
- Discounts and coupons: Data about discounts and coupons applied to orders, including discount codes, amounts, usage statistics, and associated orders.
- Refunds: Information on customer refunds, including refund amounts, reasons, and associated orders.
- Abandoned checkouts: Data related to abandoned checkouts, including customer information, abandoned cart contents, and reasons for abandonment.
- Analytics and traffic data: Data on website visits, traffic sources, conversion rates, and other key performance metrics.
- Fulfillment and shipping: Data about order shipping and fulfillment, including carrier information, tracking numbers, shipping costs, and delivery status.
The Shopify API provides access to a comprehensive range of data, allowing you to extract and load the necessary datasets into BigQuery for in-depth analysis and reporting.
What are the format requirements for data before exporting it from Shopify to BigQuery?
Before transferring data from Shopify to BigQuery, you must ensure that the data is in a format compatible with BigQuery. For example, if the API you use returns data in XML, you must convert it into a format that BigQuery can process.
Currently, BigQuery supports two primary data formats:
CSV
JSON
Additionally, you must confirm that the used data types align with BigQuery’s supported ones, which include:
STRING
BOOLEAN
INTEGER
FLOAT
TIMESTAMP
RECORD
What is Shopify?
Shopify is a leading eCommerce platform that enables you to build and scale your online store with ease. It offers a comprehensive low-code website builder to help you create an eCommerce site from scratch, along with advanced features to support your business growth, including payment integration solutions.
Additionally, Shopify provides a robust marketing suite to promote your brand and products, helping you attract new customers and retain existing ones.
To maximize the potential of your Shopify store, leverage Windsor.ai’s automated reports to analyze your data at scale and leverage the insights to make data-driven decisions.
What is BigQuery?
BigQuery is a cloud-based data warehouse developed by Google for storing and analyzing large datasets with the power of machine learning (ML) and business intelligence (BI) tools. Its architecture allows users to transfer data into the database while simultaneously querying and analyzing it without facing performance delays.
As a fully managed cloud service, BigQuery eliminates the need for users to maintain database infrastructure, offering a reliable 99.99% uptime.

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