Connectors

/

Linnworks

Data replication

Sync Linnworks data anywhere.

Linnworks is one of the world's leading commerce automation platforms, integrated with the world's most popular marketplaces and selling channels. Businesses can sell wherever their customers are with Linnworks, which connects, manages, and automates commerce operations. Online sales can be managed from a central platform, which allows you to list across multiple selling channels, handle large volumes of orders, and monitor business performance.

  • Standard
  • Alpha
  • 5 streams
Sync Linnworks dataRead the docs
Linnworks

One connector

Everything Linnworks can do in Airbyte

  • Sync to your warehouse

    Land 5 Linnworks tables in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate Linnworks once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Linnworks connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Linnworks

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.1.66
  • Release stageAlpha

Sync capabilities

  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. First, navigate to the Linnworks source connector page on Airbyte.com.
  2. Click on the "Add Source" button to begin the process of adding your Linnworks credentials.
  3. Enter a name for your Linnworks source connector and click on the "Next" button.
  4. Enter your Linnworks API credentials, including your Application ID, Application Secret, and Token.
  5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Linnworks account.
  6. Once the test is successful, click on the "Save" button to save your Linnworks source connector.
  7. You can now use your Linnworks source connector to create a new Airbyte pipeline or add it to an existing pipeline.
  8. To create a new pipeline, click on the "Create New Pipeline" button and select your Linnworks source connector as the source.
  9. Follow the prompts to select your destination connector and configure your pipeline settings.
  10. Once your pipeline is configured, click on the "Run" button to begin syncing data between Linnworks and your destination.

5 streams

Every table you can sync from Linnworks

  • ProcessedOrders

  • ProcessedOrderDetails

  • StockItems

  • StockLocations

  • StockLocationDetails

Authentication

Authenticate Linnworks once

  • API credentials

    Requires Application Secret and API Token.

Explore

Related connectors

Microsoft Entra IdFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Microsoft ListsFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Microsoft teamsFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
ModeFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
MondayFinance & Ops AnalyticsCertified Sources cloudself-managed-enterprise
My HoursFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
All connectors

Common questions

Didn't find your answer?
Please don't hesitate to reach out.

Talk to sales

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.

Linnworks's API provides access to a wide range of data related to e-commerce operations. The following are the categories of data that can be accessed through Linnworks's API:

1. Inventory Management: This category includes data related to inventory levels, stock movements, and product information.
2. Order Management: This category includes data related to orders, such as order details, shipping information, and payment information.
3. Shipping Management: This category includes data related to shipping, such as shipping rates, tracking information, and carrier information.
4. Customer Management: This category includes data related to customers, such as customer details, order history, and contact information.
5. Sales Management: This category includes data related to sales, such as sales reports, revenue data, and product performance data.
6. Accounting Management: This category includes data related to accounting, such as invoices, payments, and financial reports.
7. Marketing Management: This category includes data related to marketing, such as promotional campaigns, customer segmentation, and advertising data.

Overall, Linnworks's API provides access to a comprehensive set of data that can help businesses streamline their e-commerce operations and make data-driven decisions.

1. First, navigate to the Linnworks source connector page on Airbyte.com.
2. Click on the "Add Source" button to begin the process of adding your Linnworks credentials.
3. Enter a name for your Linnworks source connector and click on the "Next" button.
4. Enter your Linnworks API credentials, including your Application ID, Application Secret, and Token.
5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Linnworks account.
6. Once the test is successful, click on the "Save" button to save your Linnworks source connector.
7. You can now use your Linnworks source connector to create a new Airbyte pipeline or add it to an existing pipeline.
8. To create a new pipeline, click on the "Create New Pipeline" button and select your Linnworks source connector as the source.
9. Follow the prompts to select your destination connector and configure your pipeline settings.
10. Once your pipeline is configured, click on the "Run" button to begin syncing data between Linnworks and your destination.

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.

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.

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 Linnworks data today

Free for 14 days on Airbyte Cloud. Set up the Linnworks connector once and let Airbyte keep it in sync.

Try it freeTalk to sales