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LinkedIn Icon LinkedIn ODBC Driver

The LinkedIn ODBC Driver is a powerful tool that allows you to connect with live data from LinkedIn, directly from any applications that support ODBC connectivity.

With the LinkedIn ODBC Driver accessing live People, Profiles, Companies, Groups, Jobs, etc. is as easy as querying a database.

How to Use a Microsoft Access Database to Update LinkedIn Data in Real Time



Update LinkedIn data by creating a linked table in Microsoft Access with the CData LinkedIn ODBC Driver.

CData ODBC drivers connect your data to any database management tool that supports Open Database Connectivity (ODBC). This includes many of the most popular productivity tools, adding new capabilities for document sharing and collaboration. Using the CData ODBC driver for LinkedIn, you can update live LinkedIn data in Microsoft Access; for example, you can make updates that can be immediately seen by other users.

Connect to LinkedIn as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

LinkedIn uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.

Create a Linked Table to CompanyStatusUpdates Data

Follow the steps below to create a linked table, which enables you to access live CompanyStatusUpdates data.

  1. On the External Data tab in Access, click ODBC Database.
  2. Select the option to link to the data source. A linked table will enable you to read from and write data to the CompanyStatusUpdates table.
  3. Select the CData LinkedIn data source from the Machine Data Source tab.

  4. Select the CompanyStatusUpdates table. For more information on this table, see the "Data Model" chapter in the help documentation.
  5. Double-click the linked table to make edits. The linked table will always have up-to-date data and any changes will be reflected back to the underlying table.