Connectors

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n8n

Data replication

Sync n8n data anywhere.

N8n is a free and open fair-code distributed node-based Workflow Automation Tool. You can self-host n8n, easily extend it, and even you can use it. n8n is an extendable workflow automation tool that enables you to connect anything to everything via its open, fair-code model. Berlin, Germany n8n. With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic, and apps.

  • Standard
  • Alpha
  • 1 stream
Sync n8n dataRead the docs
n8n

One connector

Everything n8n can do in Airbyte

  • Sync to your warehouse

    Land 1 n8n table in 50+ destinations on a schedule you control.

  • Cloud or self-hosted

    Run the n8n connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync n8n

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.2.12
  • Release stageAlpha

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncNot supported
  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. Open the N8n workflow editor and create a new workflow.
  2. Drag and drop the "HTTP Request" node onto the workflow canvas.
  3. Double-click the "HTTP Request" node to open its settings.
  4. In the "URL" field, enter the endpoint URL for your Airbyte source connector. This can be found in the Airbyte documentation for your specific connector.
  5. In the "Headers" section, add the following key-value pairs: - "Content-Type": "application/json" - "Authorization": "Bearer {{YOUR_AIRBYTE_API_KEY}}" Replace "{{YOUR_AIRBYTE_API_KEY}}" with your actual Airbyte API key.
  6. In the "Query Parameters" section, add any necessary query parameters for your specific connector. Again, refer to the Airbyte documentation for your connector for more information.
  7. Click "Save" to save the settings for the "HTTP Request" node.
  8. Connect the "HTTP Request" node to the next node in your workflow.
  9. Continue building your workflow as desired, using the data returned by the Airbyte source connector in subsequent nodes.

1 stream

Every table you can sync from n8n

  • executions

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Common questions

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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.

N8n's API provides access to a wide range of data types, including:

1. Workflow data: This includes information about the workflows created in n8n, such as their names, descriptions, and trigger events.
2. Node data: This includes data related to the individual nodes used in workflows, such as their names, types, and configurations.
3. Execution data: This includes information about the execution of workflows, such as the start and end times, the status of each node, and any errors encountered.
4. Credentials data: This includes data related to the credentials used to authenticate with external services, such as API keys and access tokens.
5. Workflow run data: This includes data related to the runs of individual workflows, such as the input and output data, the status of each node, and any errors encountered.
6. Node run data: This includes data related to the runs of individual nodes within workflows, such as the input and output data, the status of the node, and any errors encountered.

Overall, n8n's API provides access to a comprehensive set of data types that can be used to monitor and manage workflows, troubleshoot issues, and optimize performance.

1. Open the N8n workflow editor and create a new workflow.
2. Drag and drop the "HTTP Request" node onto the workflow canvas.
3. Double-click the "HTTP Request" node to open its settings.
4. In the "URL" field, enter the endpoint URL for your Airbyte source connector. This can be found in the Airbyte documentation for your specific connector.
5. In the "Headers" section, add the following key-value pairs: - "Content-Type": "application/json" - "Authorization": "Bearer {{YOUR_AIRBYTE_API_KEY}}" Replace "{{YOUR_AIRBYTE_API_KEY}}" with your actual Airbyte API key.
6. In the "Query Parameters" section, add any necessary query parameters for your specific connector. Again, refer to the Airbyte documentation for your connector for more information.
7. Click "Save" to save the settings for the "HTTP Request" node.
8. Connect the "HTTP Request" node to the next node in your workflow.
9. Continue building your workflow as desired, using the data returned by the Airbyte source connector in subsequent nodes.

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 n8n data today

Free for 14 days on Airbyte Cloud. Set up the n8n connector once and let Airbyte keep it in sync.

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