Load Faire products, variants, orders, inventory, and brand data into BigQuery for SQL analytics and joins with store and ads data. SyncRange writes structured tables on your schedule so wholesale reporting stays fresh.
Connect, choose columns, schedule refreshes
When spreadsheets are not enough, SyncRange loads Faire into Google BigQuery. Tables inherit the column layout from your export tabs, so SQL models and dbt projects can depend on predictable names.
BigQuery becomes the place to join marketing, ecommerce, and finance sources, run large historical queries, and power BI tools that expect a warehouse instead of a sheet.
Send your Faire data directly to Google BigQuery for enterprise-grade data warehousing. Build a central analytics repository, run SQL across massive datasets, and power large-scale reporting without managing pipelines or writing ETL code.
What we can export, and how it lands
Each row is a field you can include or omit in the app before export. Column headers match the labels below; SyncRange writes them as the first row in your destination (worksheets in Google Sheets or Excel, or BigQuery columns) when you choose BigQuery.
Product catalog (GET /products)
| Columns |
|---|
| Product ID |
| Name |
| Short Description |
| Description |
| Brand ID |
| Taxonomy Type ID |
| Taxonomy Type Name |
| Lifecycle State |
| Sale State |
| Active |
| Is Deleted |
| Unit Multiplier |
| Minimum Order Quantity |
| Preorderable |
| Made In Country |
| Wholesale Price Amount |
| Wholesale Price Amount (minor units) |
| Retail Price Amount |
| Retail Price Amount (minor units) |
| Created At |
| Updated At |
| Images |
| Options |
| Variant Count |
| Raw JSON |
Variants nested within each product (from GET /products)
| Columns |
|---|
| Product ID |
| Product Name |
| Variant ID |
| SKU |
| Variant Name |
| GTIN/UPC |
| Wholesale Price Amount |
| Wholesale Price Amount (minor units) |
| Wholesale Price Currency |
| Retail Price Amount |
| Retail Price Amount (minor units) |
| Retail Price Currency |
| Available Quantity |
| Weight |
| Options |
| Is Active |
| Created At |
| Updated At |
| Raw JSON |
Wholesale orders (GET /orders)
| Columns |
|---|
| Order ID |
| Display ID |
| State |
| Created At |
| Updated At |
| Ship After |
| Retailer ID |
| Customer First Name |
| Customer Last Name |
| Customer Email |
| Ship To Name |
| Ship To Company |
| Ship To Address 1 |
| Ship To Address 2 |
| Ship To City |
| Ship To State Code |
| Ship To Postal Code |
| Ship To Country Code |
| Ship To Phone Number |
| Item Count |
| Order Total Amount (computed) |
| Order Currency (computed) |
| Raw JSON |
Line items nested within each order (from GET /orders)
| Columns |
|---|
| Order ID |
| Order Display ID |
| Order State |
| Item ID |
| Product ID |
| Variant ID |
| SKU |
| Product Name |
| Variant Name |
| Quantity |
| Price Amount |
| Price Amount (minor units) |
| Price Currency |
| Includes Tester |
| Raw JSON |
Inventory levels by SKU (GET /product-inventory/by-skus), looked up for every product SKU
| Columns |
|---|
| SKU |
| Product Variant ID |
| On Hand Quantity |
| Available Quantity |
| Discontinued |
| Raw JSON |
Connected brand's public profile (GET /brands/profile)
| Columns |
|---|
| Brand ID |
| Name |
| Currency |
| Locale |
| Description |
| Website URL |
| Logo Image URL |
| Phone Number |
| Address 1 |
| Address 2 |
| City |
| State Code |
| Postal Code |
| Country Code |
| Created At |
| Updated At |
| Raw JSON |
Available product categories (GET /products/types)
| Columns |
|---|
| Taxonomy Type ID |
| Name |
| Parent ID |
| Path |
| Raw JSON |
Social proof
See how teams export clean ecommerce and marketing data to BigQuery, Google Sheets, or Excel without manual work.
Shopify Store and Food delivery
Super easy to use and has been extremely useful in getting the real time data we need from our Shopify store. Ryan was super helpful in getting started, and responded to questions within minutes. Highly recommend.
Multi-brand Shopify Plus Operator
We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.
Shopify Store Founder
We were manually updating Google Sheets every morning with Shopify and ad data. It was slow and error-prone. Now everything updates automatically, and our daily profitability tracker is always accurate.
Large Shopify Store
SyncRange was very helpful setting up Report Automation for my store. Highly recommend, Ryan made it as simple as possible and was very easy to work with. I recommend.
Connect your account, then follow the configuration guide for your first export.
Other data sources you can sync to BigQuery
