LinkedIn Drivers & Connectors
for Data Integration

Connect with LinkedIn account data, live search results, and more through easy-to-use drivers. Easily integrate LinkedIn data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

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Other Technologies

BI & Analytics

Our drivers offer the fastest and easiest way to connect real-time LinkedIn data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to LinkedIn data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations

Alteryx Designer: Prepare, Blend, and Analyze LinkedIn in Alteryx Designer (ODBC) Alteryx Designer: Work with Live LinkedIn Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from LinkedIn Data in Amazon QuickSight Amazon SageMaker: Integrate Live LinkedIn data into Amazon SageMaker Canvas Aqua Data Studio: Connect to LinkedIn in Aqua Data Studio AWS Databricks: Process & Analyze LinkedIn Data in Databricks (AWS) Azure Analysis Services: Model LinkedIn Data Using Azure Analysis Services Birst: Build Visualizations of LinkedIn in Birst BIRT: Design BIRT Reports on LinkedIn Clear Analytics: Build Charts with LinkedIn in Clear Analytics Cognos Analytics (On-Prem): Analyze LinkedIn Data in Cognos Analytics DBxtra: Build Dashboards with LinkedIn in DBxtra Domo: Create Datasets from LinkedIn in Domo Workbench Dundas BI: Build Dashboards with LinkedIn in Dundas BI Excel (on Mac OS): Work with LinkedIn Data in MS Excel on Mac OS X FineReport: Feed LinkedIn into FineReport Google Sheets: Access Live LinkedIn Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with LinkedIn Infragistics Reveal: Analyze LinkedIn Data in Infragistics Reval JasperServer: Create LinkedIn Reports on JasperReports Server Jaspersoft BI Suite: Connect to LinkedIn in Jaspersoft Studio JReport Designer: Integrate with LinkedIn in JReport Designer Klipfolio: Create LinkedIn-Connected Visualizations in Klipfolio KNIME: Enable the LinkedIn JDBC Driver in KNIME LINQPad: Working with LinkedIn in LINQPad Looker: Analyze LinkedIn Data in Looker Looker Studio: Create Reports from LinkedIn Data in Looker Studio Metabase: Create Interactive LinkedIn-Connected Metabase Dashboards Microsoft Excel: Access Live LinkedIn Data in Excel Desktop Microsoft Excel for the Web: Access Live LinkedIn Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from LinkedIn MicroStrategy: Connect to Live LinkedIn Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for LinkedIn in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for LinkedIn in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for LinkedIn in MicroStrategy Web Mode Analytics: Create LinkedIn-Connected Visualizations in Mode OBIEE: LinkedIn Reporting in OBIEE with the LinkedIn JDBC Driver pandas: Use pandas to Visualize LinkedIn in Python Pentaho Report Designer: Integrate LinkedIn in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time LinkedIn Power BI Service: Visualize Live LinkedIn Data in the Power BI Service Power Pivot: Access LinkedIn Data in Microsoft Power Pivot Power Query: Access LinkedIn Data in Microsoft Power Query Qlik Cloud: Create Apps from LinkedIn Data in Qlik Sense Cloud QlikView: Connect to and Query LinkedIn in QlikView over ODBC R: Analyze LinkedIn in R (JDBC) R: Analyze LinkedIn in R (ODBC) RapidMiner: Connect to LinkedIn in RapidMiner Redash: Build LinkedIn-Connected Dashboards in Redash SAP Analytics Cloud: Analyze LinkedIn Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for LinkedIn SAP Crystal Reports: Publish Reports with LinkedIn in Crystal Reports SAS: Use the CData ODBC Driver for LinkedIn in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for LinkedIn in SAS JMP SAS Viya: Analyze Live LinkedIn Data in SAS Viya Sisense: Visualize Live LinkedIn in Sisense Spago BI: Connect to LinkedIn in SpagoBI Tableau: Visualize LinkedIn in Tableau Desktop Tableau Cloud: Build LinkedIn Visualizations in Tableau Cloud Tableau Server: Publish LinkedIn-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize LinkedIn in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize LinkedIn Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on LinkedIn from Spotfire Server Visio: Link Visio Shapes to LinkedIn Zoho Analytics: Create LinkedIn-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing

From drivers and adapters that extend your favorite ETL tools with LinkedIn connectivity to ETL/ELT tools for LinkedIn data integration — our LinkedIn integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with LinkedIn to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.

Popular Data Warehousing Integrations

Airbyte: Connect to LinkedIn Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous LinkedIn Replication to Amazon Redshift Amazon S3: Automated Continuous LinkedIn Replication to Amazon S3 Apache Airflow: Bridge LinkedIn Connectivity with Apache Airflow Apache Camel: Integrate with LinkedIn using Apache Camel Apache Cassandra: Automated Continuous LinkedIn Replication to Apache Cassandra Apache Kafka: Automated Continuous LinkedIn Replication to Apache Kafka Apache NiFi: Bridge LinkedIn Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with LinkedIn Data in Apache NiFi AWS Glue: Build ETL Jobs with LinkedIn Data in AWS Glue Jobs Azure Data Factory: Import LinkedIn Data Using Azure Data Factory Azure Data Lake: Automated Continuous LinkedIn Replication to Azure Data Lake Azure Synapse: Automated Continuous LinkedIn Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate LinkedIn to SQL Server CloverDX: Connect to LinkedIn in CloverDX (formerly CloverETL) Couchbase: Automated Continuous LinkedIn Replication to Couchbase CSV: Automated Continuous LinkedIn Replication to Local Delimited Files Databricks: Automated Continuous LinkedIn Replication to Databricks FoxPro: Work with LinkedIn in FoxPro Google AlloyDB: Automated Continuous LinkedIn Replication to Google AlloyDB Google BigQuery: Automated Continuous LinkedIn Replication to Google BigQuery Google Cloud SQL: Automated Continuous LinkedIn Replication to Google Cloud SQL Google Data Fusion: Build LinkedIn-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate LinkedIn for Use in Salesforce Connect HULFT Integrate: Connect to LinkedIn in HULFT Integrate IBM DB2: Automated Continuous LinkedIn Replication to IBM DB2 Informatica Cloud: Integrate LinkedIn in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for LinkedIn Jaspersoft ETL: Connect to LinkedIn in Jaspersoft Studio Microsoft Access: Automated Continuous LinkedIn Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous LinkedIn Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to LinkedIn Microsoft Power Automate: Build LinkedIn-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous LinkedIn Replication to MongoDB MySQL: Automated Continuous LinkedIn Replication to MySQL Oracle Data Integrator: ETL LinkedIn in Oracle Data Integrator Oracle Database: Automated Continuous LinkedIn Replication to Oracle petl: Extract, Transform, and Load LinkedIn in Python PostgreSQL: Automated Continuous LinkedIn Replication to PostgreSQL Replicate to MySQL: Replicate LinkedIn to MySQL with PowerShell SAP HANA: Automated Continuous LinkedIn Replication to SAP HANA SingleStore: Automated Continuous LinkedIn Replication to SingleStore SnapLogic: Integrate LinkedIn with External Services using SnapLogic Snowflake: Automated Continuous LinkedIn Replication to Snowflake SQL Server: Automated Continuous LinkedIn Replication to SQL Server SQL Server Linked Server: Connect to LinkedIn Data as a SQL Server Linked Server SQLite: Automated Continuous LinkedIn Replication to SQLite Talend: Connect to LinkedIn and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to LinkedIn in UiPath Studio Vertica: Automated Continuous LinkedIn Replication to a Vertica Database

Workflow & Automation Tools

Connect to LinkedIn from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to LinkedIn data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations

Developer Tools & Technologies

The easiest way to integrate with LinkedIn from anywhere. Our LinkedIn drivers offer a data-centric model for LinkedIn that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:

Popular Developer Integrations

.NET Charts: DataBind Charts to LinkedIn .NET QueryBuilder: Rapidly Develop LinkedIn-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with LinkedIn Apache Spark: Work with LinkedIn in Apache Spark Using SQL AppSheet: Create LinkedIn-Connected Business Apps in AppSheet Build LinkedIn-Connected Apps in Bubble C++Builder: DataBind Controls to LinkedIn Data in C++Builder Choreo: Build Custom Apps on LinkedIn Data in Choreo ColdFusion: Query LinkedIn in ColdFusion Using JDBC ColdFusion: Query LinkedIn in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on LinkedIn Delphi: DataBind Controls to LinkedIn Data in Delphi DevExpress: DataBind LinkedIn to the DevExpress Data Grid EF - Code First: Access LinkedIn with Entity Framework 6 EF - LINQ: LINQ to LinkedIn EF - MVC: Build MVC Applications with Connectivity to LinkedIn Filemaker Pro: Bidirectional Access to LinkedIn from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to LinkedIn from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with LinkedIn on Linux Google Apps Script: Connect to LinkedIn Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with LinkedIn Entities in Java IntelliJ: Connect to LinkedIn in IntelliJ JBoss: Connect to LinkedIn from a Connection Pool in JBoss JDBI: Create a Data Access Object for LinkedIn using JDBI JRuby: Connect to LinkedIn in JRuby Mendix: Build LinkedIn-Connected Apps in Mendix Microsoft Power Apps: Integrate Live LinkedIn Data into Custom Business Apps Built in Power Apps NodeJS: Query LinkedIn Data in Node.js (via Connect Cloud) NodeJS: Query LinkedIn through ODBC in Node.js OutSystems: Create LinkedIn-Connected Enterprise Applications in OutSystems PHP: Access LinkedIn in PHP through Connect Server PHP: Natively Connect to LinkedIn in PHP PowerBuilder: Connect to LinkedIn from PowerBuilder PowerShell: Pipe LinkedIn to CSV in PowerShell PyCharm: Using the CData ODBC Driver for LinkedIn in PyCharm Python: Connect to LinkedIn in Python on Linux/UNIX React: Build Dynamic React Apps with LinkedIn Data Ruby: Connect to LinkedIn in Ruby RunMyProcess: Connect to LinkedIn Data in RunMyProcess RunMyProcess DSEC: Connect to LinkedIn in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to LinkedIn in SAPUI5 MVC Apps Servoy: Build LinkedIn-Connected Apps in Servoy Spring Boot: Access Live LinkedIn Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access LinkedIn in Python Tomcat: Configure the CData JDBC Driver for LinkedIn in a Connection Pool in Tomcat Unqork: Create LinkedIn-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for LinkedIn WebLogic: Connect to LinkedIn from a Connection Pool in WebLogic

When Only the Best LinkedIn Drivers Will Do

See what customers have to say about our products and support.

Frequently Asked LinkedIn Driver Questions

Learn more about LinkedIn drivers & connectors for data and analytics integration

The LinkedIn driver acts like a bridge that facilitates communication between various applications and LinkedIn, allowing the application to read data as if it were a relational database. The LinkedIn driver abstracts the complexities of LinkedIn APIs, authentication methods, and data types, making it simple for any application to connect to LinkedIn data in real-time via standard SQL queries.

Working with a LinkedIn Driver is different than connecting with LinkedIn through other means. LinkedIn API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain LinkedIn integration code moving forward.

By comparison, our LinkedIn Drivers offer codeless access to live LinkedIn data for both technical and non-technical users alike. Any user can install our drivers and begin working with live LinkedIn data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to LinkedIn data. We manage all of the complexities of LinkedIn integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to LinkedIn via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to LinkedIn from any of the available Cloud Drivers and Client Applications. Connectivity to LinkedIn is managed in the cloud, and you never have to worry about installing new drivers when LinkedIn is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with LinkedIn, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData LinkedIn driver offers full-featured LinkedIn data connectivity. The CData LinkedIn drivers support extensive LinkedIn integration, providing access to all of the LinkedIn data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all LinkedIn data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData LinkedIn driver contains a full SQL-92 compliant engine that translates standard SQL queries into LinkedIn API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to LinkedIn as possible. Any logic that can not be pushed to LinkedIn is handled transparently client-side by the driver/connector engine. Ultimately, this means that LinkedIn looks and acts exactly like a database to any client application or tool. Users can integrate live LinkedIn connectivity with ANY software solution that can talk to a standard database.

The LinkedIn drivers and connectors offer comprehensive access to LinkedIn data. Our LinkedIn driver exposes static and dynamic data and metadata, providing universal access to LinkedIn data for any enterprise analytics or data mangement use. To explore the LinkedIn driver data model, please review the edition-specific LinkedIn driver documentation.

Using the CData LinkedIn drivers and connectors, LinkedIn can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live LinkedIn data connectivity. Explore some of the more popular LinkedIn data integrations online.

Additionally, since LinkedIn supported by CData Connect Cloud, we enable all kinds of new LinkedIn cloud integrations.

LinkedIn Analytics and LinkedIn Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify LinkedIn data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

LinkedIn data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate LinkedIn data any database or data warehouse, and maintain parity between systems with automated incremental LinkedIn replication. In addition, our LinkedIn drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate LinkedIn with Excel is by using the CData Connect Cloud Excel Add-In. The LinkedIn Excel Add-In provides easy LinkedIn integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to LinkedIn from the easy-to-use cloud interface, and access LinkedIn just like you would another native Excel data source.