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Connect LinkedIn Pages to Azure SQL

Connect LinkedIn Pages to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a LinkedIn Pages API pipeline.

LinkedIn Pages export job

First sync scheduled

LinkedIn Pages Selected accounts

Configured job

Azure SQL Destination table

Account LinkedIn Pages · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export LinkedIn Pages data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize LinkedIn Page data in Azure SQL

Bring all your LinkedIn Page data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

LinkedIn Page Social data

INaccounts PMprofiles CUposts BLmedia

Catchr pipeline IN PM CU Extract · normalize · load

Azure SQL catchr_data.LinkedIn Page_raw

TableScopeStatus

accountsSelectedReady

profilesSelectedReady

postsSelectedReady

mediaSelectedReady

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from LinkedIn Page so every dashboard, model, and report works with fresh information.

LinkedIn PageConfigured account

AzureSQLLinkedIn Pages Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated profiles102 appended Warehouse up to date

Analysis

Unify LinkedIn Pages with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · Desktop Page Views Social

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

AzureSQL model business_360 Unified

FieldFrom

customer_idCRM

Desktop Page Viewsaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

LinkedIn Pages metrics and dimensions available in Azure SQL

Access 62 metrics and 38 dimensions from LinkedIn Pages connectors including Page Views, Total Follower, Total Follower Gain, Post Engagement Rate, Post Impressions Count, Post Clicks, Video Views, Date, Organization Name, Post Published Date, Post Title, Post Type, Follower Country, Follower Industry, Follower Seniority and many more...

Metrics availables

Dimensions availables

View all LinkedIn Pages Metrics metrics and dimensions

Connect LinkedIn Pages to Azure SQL in minutes

Move your data from LinkedIn Pages to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your LinkedIn Pages account

Authenticate your LinkedIn Pages account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

LinkedIn Pages 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields

Host Required

catchr-reporting.database.windows.net

Username Required

catchr_loader

Password Required

••••••••••••

Database Required

marketing_reporting

Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example

Schema Destination

dbo

Table Per job

meta_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

Export readySelected fields · configured history

Every 6 hours

Review 30-day LinkedIn Pages organic content performance in SQL.

This example summarizes impressions, reach, engagements, and engagement rate by post.

30-day window

SELECT
  post_id,
  SUM(impressions) AS impressions,
  SUM(reach) AS reach,
  SUM(engagements) AS engagements,
  SAFE_DIVIDE(
    SUM(engagements),
    SUM(impressions)
  ) AS engagement_rate
FROM `your_project.marketing_raw.linkedin_pages_content_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY post_id
ORDER BY engagements DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your LinkedIn Pages data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

Where do I configure a LinkedIn Pages export to Azure SQL?

Connect LinkedIn Pages as a Catchr source. Add your existing Azure SQL database, create a datastream, and configure a job that writes the selected fields to the "media" table.

Which parts of LinkedIn Pages can be exported to Azure SQL?

Select concrete LinkedIn Pages fields such as Desktop Page Views, Mobile Page Views, Page Views, and Day of the month. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, profiles, and posts.

How does Catchr process a large LinkedIn Pages backfill into Azure SQL?

Catchr first processes the historical range configured for LinkedIn Pages. Later runs update the "media" table using the saved frequency and rolling import window.

How are overlapping LinkedIn Pages import windows handled in Azure SQL?

Catchr uses the selected partition field to refresh the relevant LinkedIn Pages period inside "media". Leaving it blank changes the job to append-only behavior.

What can I analyze with LinkedIn Pages data in Azure SQL?

With LinkedIn Pages data, an Azure SQL query can summarize impressions, reach, engagements, and engagement rate by post. A Azure SQL view comparing Desktop Page Views and Mobile Page Views can feed agency dashboards or downstream BI models.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

Used by the world's leading companies

Export LinkedIn Pages data to Azure SQL

Centralize LinkedIn Page data in Azure SQL

Keep your AzureSQL tables up to date

Unify LinkedIn Pages with the rest of your business data

LinkedIn Pages metrics and dimensions available in Azure SQL

Connect LinkedIn Pages to Azure SQL in minutes

Connect your LinkedIn Pages account

Choose the AzureSQL destination

Keep your AzureSQL tables updated

Review 30-day LinkedIn Pages organic content performance in SQL.

Connect more table to your LinkedIn Pages data

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