Connectors

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Microsoft SharePoint

Microsoft SharePoint

Unstructured

Sync Microsoft SharePoint data anywhere.

Unify your operations with the only connector you’ll ever need. Move large volumes of data with best-in-class replication, on the schedule and destination of your choosing.

  • Certified
  • Alpha
Sync Microsoft SharePoint dataRead the docs
  • 50+Destinations
One connector

Everything Microsoft SharePoint can do in Airbyte

  • Sync to your warehouse

    Land Microsoft SharePoint data in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • File transfer

    Move files through the pipeline as-is, without parsing them into records first.

  • One authorization

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

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • File transferSupported
  • Available onCloud, Self-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version0.10.4

Set up in 11 steps

  1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
  2. Click on the "New Source" button in the top right corner of the screen.
  3. Select "Microsoft Sharepoint" from the list of available sources.
  4. Enter a name for your connector and click "Next".
  5. Enter your Microsoft Sharepoint credentials, including your username and password.
  6. Select the Sharepoint site you want to connect to from the dropdown menu.
  7. Choose the type of data you want to replicate, such as files or lists.
  8. Select the frequency at which you want the data to be replicated.
  9. Choose any additional options, such as whether to include deleted items or to use incremental replication.
  10. Click "Test" to ensure that your credentials are correct and that the connection is successful.
  11. If the test is successful, click "Create" to save your connector and begin replicating data from Microsoft Sharepoint.
Authentication

Authenticate Microsoft SharePoint once

  • Authenticate via Microsoft (OAuth)

    Recommended

    OAuthCredentials class to hold authentication details for Microsoft OAuth authentication. This class uses pydantic for data validation and settings management.

  • Service Key Authentication

    ServiceCredentials class for service key authentication. This class is structured similarly to OAuthCredentials but for a different authentication method.

FAQ

Common questions

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 Microsoft SharePoint?

1. User information: The Sharepoint API allows you to extract user information such as name, email address, and user ID. 2. Site information: You can extract information about the Sharepoint site, including the site name, URL, and site ID. 3. Document library information: The API allows you to extract information about document libraries, including the library name, URL, and library ID. 4. Document information: You can extract information about individual documents, including the document name, URL, and document ID. 5. List information: The API allows you to extract information about lists, including the list name, URL, and list ID. 6. List item information: You can extract information about individual list items, including the item name, URL, and item ID. 7. Permissions information: The API allows you to extract information about permissions, including who has access to specific sites, libraries, and documents. 8. Search results: You can use the Sharepoint API to extract search results based on specific search criteria. 9. Workflow information: The API allows you to extract information about workflows, including the workflow name, status, and workflow ID. 10. Site usage information: You can extract information about site usage, including the number of visits, unique visitors, and page views.

How do I transfer data from Microsoft SharePoint?

1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen. 2. Click on the "New Source" button in the top right corner of the screen. 3. Select "Microsoft Sharepoint" from the list of available sources. 4. Enter a name for your connector and click "Next". 5. Enter your Microsoft Sharepoint credentials, including your username and password. 6. Select the Sharepoint site you want to connect to from the dropdown menu. 7. Choose the type of data you want to replicate, such as files or lists. 8. Select the frequency at which you want the data to be replicated. 9. Choose any additional options, such as whether to include deleted items or to use incremental replication. 10. Click "Test" to ensure that your credentials are correct and that the connection is successful. 11. If the test is successful, click "Create" to save your connector and begin replicating data from Microsoft Sharepoint.

What are top ETL tools to transfer data from Microsoft SharePoint?

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.

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