No-code pipeline · Linkedin → SQL Server

Send data from Linkedin to SQL Server

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From Linkedin to SQL Server: managed, scheduled, no code.
Creating a pipeline that sends data from Linkedin to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Linkedin to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Linkedin data and combining it with other data in your SQL Server database

Send Linkedin Data to SQL Server Automatically

Sending Linkedin advertising and organic performance data to SQL Server requires automated pipelines that handle data extraction and loading. Kondado provides a no-code platform that connects your Linkedin ad accounts and company pages directly to your SQL Server database, eliminating manual exports and complex ETL development. You configure which pipelines to activate, set your preferred update frequency, and the platform handles the replication process on a configurable schedule ranging from every few minutes to daily intervals. Once connected, your marketing team can query current campaign performance alongside internal business data, enabling deeper analysis of lead quality and advertising ROI directly within your existing database infrastructure. This automated approach ensures your SQL Server always contains current Linkedin insights for reporting and decision-making.

Kondado replicates Linkedin advertising metrics, campaign metadata, and organization page statistics to SQL Server automatically on a user-configured schedule, making nine distinct pipelines with 394 fields available for analysis without requiring technical development.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Linkedin Pipelines for SQL Server

Available pipelines include Ad Statistics for impression and click data, Conversion Statistics for tracking lead generation performance, and Organization Posts for analyzing organic content reach. With this data in SQL Server, marketing analysts can join Linkedin campaign costs with CRM revenue data to calculate true customer acquisition costs, while social media managers can correlate post engagement metrics with website traffic patterns. The structured data format allows you to build custom reports in Power BI or Looker Studio, or simply query directly within SQL Server to track campaign effectiveness across multiple channels.

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Replicated to SQL Server

Linkedin data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

9
available pipelines
394
extractable fields
SQL Server
Destination

Available integrations

Ad Accounts
Unique identifier, status, currency, and notification preferences of ad accounts. Analyze the current status and whether alerts are sent about campaigns.
Ad Statistics
Data on impressions, clicks, and cost of ads. Allows evaluation of campaign performance and optimization of marketing strategies.
Conversion Statistics
Metrics on conversion, including conversion rates and cost per conversion. Essential for measuring the effectiveness of advertising campaigns.
Conversion Information
Details on each conversion, such as source and generated value. Helps understand the impact of campaigns on financial results.
Campaign Metadata
Information on campaigns, including budget, objectives, and status. Allows analysis of targeting and delivery strategy.
Creative Metadata
Data on creatives used, including format and approval status. Essential for optimizing advertising content.
Campaign Group Metadata
Information on campaign groups, such as status and cost type. Allows understanding of the structure and performance of ads.
Organization Posts
Data on posts made by organizations, including engagement and reach. Useful for evaluating the effectiveness of published content.
Organization Pages
Information on organization pages, including followers and interactions. Allows analysis of brand presence and impact.

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How to send Linkedin data to SQL Server

Sync data automatically — no code, no manual exports.

1
Authenticate Your Linkedin Data Source

Connect your Linkedin ad account and organization pages to Kondado by providing your credentials through the authentication interface, granting access to the advertising and organic data pipelines you want to replicate.

2
Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish the target location where your Linkedin data will be loaded and stored.

3
Select Pipelines and Schedule

Choose from the nine available pipelines such as Ad Statistics and Conversion Statistics, then set your preferred update frequency to begin automated replication. Once in SQL Server, you can analyze the data directly or connect to Power BI for enhanced visualization.

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Hundreds of data-driven companies trust Kondado
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Send data from Linkedin to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Linkedin data to SQL Server automatically

How frequently can I update Linkedin data in my SQL Server database?
Kondado offers a configurable schedule that allows you to replicate Linkedin data as often as every 5 minutes or as infrequently as daily, depending on your reporting needs and data freshness requirements. You can adjust these intervals at any time through the platform interface without disrupting existing data flows.
What specific Linkedin advertising metrics are available through the pipelines?
The pipelines include detailed fields from Ad Statistics such as impressions, clicks, and spend, alongside Conversion Statistics tracking conversion rates and cost per conversion. You also gain access to Campaign Metadata, Creative Metadata, and Campaign Group Metadata to analyze targeting strategies, creative performance, and budget allocation across your Linkedin Ads account.
Can I combine Linkedin data with other marketing platforms in SQL Server?
Yes, Kondado enables you to replicate data from multiple sources into the same SQL Server instance, allowing you to join Linkedin campaign performance with Google Ads, Facebook, or other advertising platforms. You can also send your Linkedin data to BigQuery or PostgreSQL if you need to distribute analysis across different database environments.
Does the replication include historical Linkedin data when I first connect?
When you initially configure the Linkedin data source, Kondado retrieves historical data from your ad accounts and organization pages to establish a baseline for analysis. The amount of historical data available depends on the specific pipeline and Linkedin's API limitations, but typically includes several months of past performance metrics.
How is the data structured when it arrives in SQL Server?
Each pipeline loads data into your SQL Server database in a structured format, with the 394 available fields organized into logical groups such as account information, campaign performance, and conversion tracking. The data arrives ready for SQL queries, allowing you to immediately join Linkedin metrics with your existing business records and build custom analytics workflows.
Can I track organic Linkedin content performance alongside paid advertising data?
Yes, the Organization Posts and Organization Pages pipelines capture organic engagement metrics including post reach, interactions, and follower growth, which you can analyze alongside paid Ad Statistics. This combined view helps you understand how organic social efforts complement your paid Linkedin advertising strategy within your SQL Server environment.
Do I need technical coding skills to set up the Linkedin to SQL Server connection?
No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating your Linkedin data source and configuring your SQL Server destination. The platform handles all API interactions, data transformation, and loading processes automatically, making it accessible for marketing analysts and business users without development resources.
Can I visualize Linkedin data stored in SQL Server without additional tools?
While SQL Server provides native querying capabilities, most users connect their database to business intelligence platforms such as Power BI or Looker Studio to build comprehensive marketing dashboards. You can also export subsets of data to Google Sheets for quick ad-hoc analysis and sharing with stakeholders who prefer spreadsheet formats.

Try out all the features for free for 14 days

Try out all the features for free for 14 days