No-code pipeline · Linkedin → PostgreSQL

Send data from Linkedin to PostgreSQL

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From Linkedin to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Linkedin to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Linkedin to PostgreSQL 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 PostgreSQL database

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Linkedin to PostgreSQL Data Replication

How do you centralize LinkedIn advertising metrics in PostgreSQL for advanced analysis? Kondado provides a direct integration that replicates your marketing data from LinkedIn to PostgreSQL on a configurable schedule without requiring any coding. You select specific pipelines such as Ad Statistics or Campaign Metadata, and the platform handles automated data transfer while preserving relationships between campaigns, creatives, and conversions. This enables marketing teams to query comprehensive performance data using SQL and build custom reports that combine LinkedIn metrics with other business intelligence sources.

Kondado connects to LinkedIn as a data source and replicates nine distinct pipelines including Ad Accounts, Ad Statistics, Conversion Statistics, and Organization Posts directly to your PostgreSQL database on a configurable schedule ranging from every five minutes to daily, enabling automated marketing analytics without manual data exports.

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 PostgreSQL

With the Ad Statistics and Conversion Statistics pipelines, you can build comprehensive performance dashboards in PostgreSQL that track impression trends, click-through rates, and cost per acquisition across campaigns. The Organization Posts pipeline delivers engagement metrics and reach data that content strategists can correlate with campaign timing to measure organic versus paid performance. By combining Campaign Metadata with Creative Metadata in your PostgreSQL warehouse, analysts can identify which ad formats and targeting strategies generate the highest quality leads while maintaining historical records for year-over-year comparisons.

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Replicated to PostgreSQL

Linkedin data available for PostgreSQL

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

available pipelines

394

extractable fields

PostgreSQL

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.

See all available data → Send Linkedin to PostgreSQL →

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How to send Linkedin data to PostgreSQL

Sync data automatically — no code, no manual exports.

Authenticate LinkedIn Account

Connect your Linkedin data source by logging into your advertising account through Kondado's authentication portal. Select the specific ad accounts and organization pages you want to replicate to PostgreSQL.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the destination warehouse. Kondado validates the connection and prepares the schema structure for incoming LinkedIn data.

Select Pipelines and Schedule

Choose from the nine available pipelines such as Ad Statistics and Conversion Statistics, then set your preferred update frequency ranging from five minutes to daily. Activate the replication to begin automated data transfers from LinkedIn to your PostgreSQL database.

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Send data from Linkedin to other destinations

Linkedin > Looker Studio

Linkedin > Power BI

Other visualizations

Linkedin > Amazon S3

Linkedin > BigQuery

Linkedin > Excel

Linkedin > Google Sheets

Linkedin > MySQL

Linkedin > PostgreSQL

Linkedin > Redshift

Linkedin > SQL Server

Choose a tool to visualize your Linkedin data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Linkedin > Airtable

Linkedin > Alteryx

Linkedin > Amazon Quicksight

Linkedin > BIMachine

Linkedin > Cortex

Linkedin > Data Studio

Linkedin > Geckoboard

Linkedin > Grafana

Linkedin > IBM Cognos Analytics

Linkedin > Klipfolio

Linkedin > Looker Studio

Linkedin > Looker

Linkedin > Looqbox

Linkedin > Metabase

Linkedin > Microstrategy

Linkedin > Pentaho

Linkedin > Power BI

Linkedin > Qlik Cloud Analytics

Linkedin > Qlik Sense

Linkedin > Qlik

Linkedin > QlikView

Linkedin > Redash

Linkedin > Superset

Linkedin > Tableau

Linkedin > BI TOTVS

Linkedin > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Linkedin data to PostgreSQL automatically

How often does Kondado update LinkedIn data in PostgreSQL? ▼

Kondado replicates data on a configurable schedule that you control, with options ranging from every five minutes to daily updates. You can set different frequencies for different pipelines, such as updating Ad Statistics hourly while refreshing Campaign Metadata daily. This flexibility ensures your PostgreSQL warehouse contains fresh data without overwhelming your API quotas.

What specific LinkedIn advertising metrics can I replicate to PostgreSQL? ▼

You can replicate nine distinct pipelines covering Ad Statistics with impressions and clicks, Conversion Statistics with cost-per-conversion data, and Campaign Metadata with budget and targeting details. The pipelines also include Creative Metadata for ad format analysis and Organization Posts for organic content performance. This gives you access to 394 fields spanning paid advertising and organic reach metrics.

Can I combine LinkedIn data with other marketing sources in PostgreSQL? ▼

Yes, you can replicate data from multiple sources into the same PostgreSQL database to create unified marketing reports. Join LinkedIn Ad Statistics with sales data from other platforms or export your combined results to Power BI and Looker Studio for comprehensive dashboards. This cross-channel analysis helps you compare LinkedIn performance against other advertising channels stored in your warehouse.

How is LinkedIn data structured when it arrives in PostgreSQL? ▼

Each pipeline becomes a separate table in your PostgreSQL database with normalized schemas that preserve the original field relationships from LinkedIn's API. Ad Statistics maintains connections to Campaign Metadata through account and campaign IDs, while Conversion Information links to specific ad creatives. This relational structure allows you to write SQL queries that join multiple tables for comprehensive performance analysis.

Do I need technical skills to set up the LinkedIn to PostgreSQL connection? ▼

No coding is required to configure the connection, as Kondado handles the API authentication and schema mapping automatically. You simply authenticate your LinkedIn account, provide your PostgreSQL connection details, and select which pipelines to replicate. The platform manages data type conversions and schema updates, making it accessible for marketing analysts while still powerful enough for data engineers.

What happens if my LinkedIn API rate limits are reached during replication? ▼

Kondado includes intelligent retry logic that pauses replication when API limits are approached and resumes automatically when quota becomes available. The system tracks which data has been successfully transferred to avoid duplicating records during subsequent attempts. You receive notifications about any delays while your existing PostgreSQL data remains available for querying.

Can I filter which LinkedIn campaigns or accounts get replicated? ▼

Yes, you can select specific ad accounts during setup to limit replication to only the campaigns and organizations you manage. Within each account, you choose exactly which pipelines to activate, such as replicating Ad Statistics while excluding Organization Posts if you only need paid advertising data. This selective approach helps you control storage costs in PostgreSQL and focus analysis on relevant metrics.

Try out all the features for free for 14 days

Related on Kondado

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