Shopify
Finance & Ops Analytics
Sync Shopify data anywhere.
- Certified
- Generally available
- 37 streams
- 44 entities
- Read & write
- 37Streams
- 44Entities
- 6Actions
- 50+Destinations
Everything Shopify can do in Airbyte
Sync to your warehouse
Land 37 Shopify tables in 50+ destinations on a schedule you control.
Live entity actions
Read, create, update and delete Shopify records at runtime through typed entity actions.
Context store search
Query synced Shopify data with filters, sorting and semantic search, without spending Shopify API rate limits.
Incremental syncs
Pull only the records that changed since the last run instead of reloading everything.
Sync capabilities
- Full Refresh SyncSupported
- Incremental SyncSupported
- Available onCloud, Self-Managed Enterprise
- Destinations50+ Airbyte connectors
- Connector version4.0.0
Set up in 10 steps
- First, navigate to the Shopify source connector page on Airbyte's website.
- Click on the "Add Source" button to begin the process of adding your Shopify credentials.
- In the "Connection Configuration" section, enter your Shopify store URL.
- Next, enter your Shopify API key and password in the appropriate fields.
- Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Shopify store.
- If the test is successful, click on the "Save & Continue" button to proceed.
- In the "Schema Selection" section, choose which Shopify data you want to replicate in Airbyte.
- Click on the "Save & Continue" button to proceed.
- In the "Destination" section, choose where you want to send your Shopify data.
- Click on the "Create Connection" button to finalize the process and start replicating your Shopify data in Airbyte.
Every table you can sync from Shopify
Abandoned Checkouts
Articles
Balance Transactions
Blogs
Collects
Collection Products (GraphQL)
All products associated with each collection, including smart collection matches
Collections (GraphQL)
Countries (GraphQL)
Custom Collections
Customers
Customer Journey Summary (GraphQL)
Customer Address (GraphQL)
Supported Shopify actions
List
Read live records straight from the Shopify API.
Get
Fetch a single record by ID.
Create
Write a new record back into Shopify.
Update
Patch fields on an existing record.
Delete
Remove a record.
Context Store Search
Query synced data with filters and sorting, with no API rate limits.
Authenticate Shopify once
OAuth2.0
RecommendedOAuth2.0
API Password
API Password Auth
What teams build with Shopify
List all customers in my Shopify store
Show me details for a recent customer
What products do I have in my store?
List all locations for my store
Show me inventory levels for a recent location
Show me all draft orders
Related connectors
Common questions
Do I need more than one Shopify connection?
No. One Shopify authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.
Do Shopify entity actions need a sync to run first?
No. Entity actions read and write through the Shopify API as they are called, so they work immediately. Context store search is the exception: it queries data Airbyte has already synced, which is what lets it filter and sort without spending API rate limits.
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
What data can you extract from Shopify?
Shopify's API provides access to a wide range of data related to an online store's operations. The following are the categories of data that can be accessed through Shopify's API:
1. Products: Information about the products available in the store, including their titles, descriptions, prices, images, and variants.
2. Orders: Details about the orders placed by customers, including the customer's name, shipping address, payment information, and order status.
3. Customers: Information about the customers who have created accounts on the store, including their names, email addresses, and order history.
4. Collections: Details about the collections of products that have been created in the store, including their titles, descriptions, and products included.
5. Discounts: Information about the discounts that have been created in the store, including their codes, types, and amounts.
6. Fulfillment: Details about the fulfillment of orders, including the status of each order and the tracking information for shipped orders.
7. Analytics: Data related to the store's performance, including sales reports, traffic reports, and conversion rates.
8. Storefront: Information about the store's design and layout, including the theme, templates, and customizations.
Overall, Shopify's API provides access to a comprehensive set of data that can be used to manage and optimize an online store's operations.
How do I transfer data from Shopify?
1. First, navigate to the Shopify source connector page on Airbyte's website.
2. Click on the "Add Source" button to begin the process of adding your Shopify credentials.
3. In the "Connection Configuration" section, enter your Shopify store URL.
4. Next, enter your Shopify API key and password in the appropriate fields.
5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Shopify store.
6. If the test is successful, click on the "Save & Continue" button to proceed.
7. In the "Schema Selection" section, choose which Shopify data you want to replicate in Airbyte.
8. Click on the "Save & Continue" button to proceed.
9. In the "Destination" section, choose where you want to send your Shopify data.
10. Click on the "Create Connection" button to finalize the process and start replicating your Shopify data in Airbyte.
What are top ETL tools to transfer data from Shopify?
The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
Start moving Shopify data today
Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Shopify actions.