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.
Do more with LinkedIn data
LinkedIn data integration
Access LinkedIn data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps. Customers commonly use CData's LinkedIn connectivity to:
- Provide a logical data layer of abstraction that shields users from the complexity of data access and integration.
- Get blazing-fast access to data for BI, reporting, and data integration with highly optimized read/write performance.
- Securely explore tables, columns, keys, data, and full meta-data based on user identity.
Try CData LinkedIn Connectors
Trusted by LinkedIn users worldwide
The CData difference
Our standards-based approach to connectivity streamlines data access and insulates usrs from the complexities of integrating BigQuery data.
Unparalleled LinkedIn Connectivity Get full access to your LinkedIn data wherever you need it. CData is the undisputed leader in LinkedIn connectivity providing the most comprehensive access to live LinkedIn data anywhere. Thousands of customers and hundreds of leading data ISVs rely on our connectivity to make the most of their data.
Fastest time to value Reduce development cycles and accelerating the overall time to market. Our pre-built, optimized connectors eliminate the need for complex custom development, allowing for fast, secure access to Workday data.
Unbeatable price-performance By standardizing and streamlining how systems interact with LinkedIn our products reduce development costs and timelines, slash architectural complexity.
Blazing data access Our LinkedIn connectivity is fast— really fast. In fact, over twice as fast as other solutions. Our engineers have optimized our drivers for maximum performance all the way down to the socket level, delivering truly exceptional data access.
Future-proof integration We continuously test against changes in the LinkedIn APIs & protocols used to connect, preventing downtime in your data and analytics processes.
Enterprise-class technical support CData is dedicated to helping you find success with LinkedIn. We work as an extension of your team to help solve your toughest data challenges. Thousands of customers and hundreds of ISVs rely on our services to make the most of their data.
AI Integrations
LinkedIn data for AI agents and assistants
LinkedIn MCP server connectivity for AI
Enable AI agents, assistants, and workflows to access LinkedIn data to improve output, tailoring responses to your actual business data and reducing hallucinations.
- One MCP connection from LinkedIn to every AI agent, assistant, copilot, or LLM that could use it.
- Maintain security and user permissions with pass-through user-based access and read/write controls
- Platform solution to control and monitor user access via AI across your organization.
BI & Analytics
LinkedIn connectivity for BI & analytics
Live LinkedIn access for analytics
Access LinkedIn data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps.
- Connect LinkedIn (and any other data source) to your favorite analytics, automation, or data management app without moving data
- Bi-directional LinkedIn connectivity through common data endpoints
- Enable LinkedIn governability and data privacy with user-level permissioning at the source level.
Data Warehousing
LinkedIn ETL, replication, & data warehousing
Automate LinkedIn data replication
CData Sync automatically replicates data from hundreds of on-premises and cloud data sources — like LinkedIn— to any modern database, data lake, or data warehouse.
- Create automated LinkedIn data flows in minutes with point-and-click data replication
- Facilitate reporting, business intelligence, and analytics for decision support
- Archive data for disaster recovery
Data Management
Consolidate LinkedIn data management
Data management integration enables organizations to better manage their human resources data, optimize decision-making, and ensure compliance with data governance policies. Technologies like ODBC, JDBC, and ADO easily connect with all kinds of popular data management applications.
Connect LinkedIn to data management systems to:
- Provide a single, accurate source of truth for employee and resource data.
- Ensure consistency, data quality, and integration across systems.
- Improve data discoverability, governance, and compliance, allowing for easy tracking, auditing, and efficient data use across the organization.
No Code
Connect to LinkedIn with no-code
LinkedIn is often at the center of a wide range of repetitive tasks. With low-code/no-code tools, users can automate these tasks reducing manual effort and errors.
- Customize LinkedIn and integrate it with other systems (like CRM, HR, or accounting software) without writing complex code.
- Create custom dashboards, reports, or data visualizations by integrating LinkedIn data with other systems.
Custom Apps
Build fully-integrated custom applications
From custom AI and analytics to performance managemement and learning platforms, developers are leveraging our drivers to power all kinds of real-time integrations with LinkedIn.
- What is a LinkedIn driver?
- What is a LinkedIn connector?
- How is developing with a LinkedIn driver different?
- Pragmatic API Integration: from SDKs to Data Drivers
- Data APIs: Gateway to Data Driven Operation & Digital Transformation
Embedding CData Connectivity
Data Virtualization
Virtualize access to LinkedIn data
Data virtualization tools helps organizations achieve better data access, more agile decision-making, and greater efficiency in managing data across diverse systems.
Integrating LinkedIn with data virtualization tools allows organizations to combine this data with other sources like ERP systems, CRM platforms, or financial databases without physically moving or duplicating data. This unified access enables faster, more efficient decision-making.
Spreadsheets
Connect to live LinkedIn data in spreadsheets
Work with live LinkedIn data seamlessly in Excel and Google Sheets:
- Always work with live LinkedIn data— no more downloading, copying, and pasting
- Filter and get just the attributes and data you actually need
- Refresh data with a click or set a schedule
- Update LinkedIn records right from your spreadsheet
FAQs
Frequently asked LinkedIn integration questions
Common questions about LinkedIn drivers & connectors for data and analytics integration
- How does the LinkedIn Driver work?
- How is using the LinkedIn Driver different than connecting to the LinkedIn API?
- How is a LinkedIn Driver different than a LinkedIn connector?
- Is LinkedIn SQL based?
- What data can I access with the LinkedIn driver?
- What does LinkedIn integrate with?
- How can I enable LinkedIn Analytics?
- How can I support LinkedIn Data Integration?
- Does LinkedIn Integrate with Excel?
Additional LinkedIn connectivity resources
Technical articles
Using the LinkedIn drivers
- LinkedIn Integration Guides and Tutorials
- Build LinkedIn-Connected Apps in Bubble
- Connect to LinkedIn Data in CloverDX (formerly CloverETL)
- Configure the CData JDBC Driver for LinkedIn in a Connection Pool in Tomcat
- Connect to LinkedIn Data as a Linked Server via SQL Gateway
- Use the CData Software ODBC Driver for LinkedIn in SAS for Real-Time Reporting and Analytics
- Automated Continuous LinkedIn Replication to Local Delimited Files
- Publish Reports with LinkedIn Data in SAP Crystal Reports
- Connect to LinkedIn Data from PowerBuilder via ODBC
Blog
Related blog articles
- Connect LinkedIn to Claude: Professional Network Intelligence
- Uplevel Your Financial Analytics with Live Data Connections to the Systems You Use Every Day
- Connect and Automate Marketing Data in the AI, BI, and Reporting Tools You Use Every Day
- 2019 Driver Update
- CData Joins Snowflake Partner Connect, Simplifying Real-Time Bi-Directional Integration
- Supercharge Your Marketing Analytics with The CData Databricks Integration Accelerator
- 2020 Driver Update
- Getting More from Your Multidimensional Data & Analytics Services
- 4 Embedded Integration Trends for 2024
- What Is B2B Data? Main Types, Sources, Uses & How to Secure It