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Connect LinkedIn Pages to MySQL

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

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

Connect LinkedIn Pages to MySQL

Used by the world's leading companies

Export LinkedIn Pages data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize LinkedIn Page data in MySQL

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

Data freshness

Keep your MySQL tables up to date

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

Analysis

Unify LinkedIn Pages with the rest of your business data

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

LinkedIn Pages metrics and dimensions available in MySQL

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...

62

Metrics availables

38

Dimensions availables

Connect LinkedIn Pages to MySQL in minutes

Move your data from LinkedIn Pages to MySQL 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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

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

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
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.

LinkedIn Page.sql
BigQuery SQL
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 MySQL setup, available source data, schedules, table updates, and SQL use cases.

Where do I configure a LinkedIn Pages export to MySQL?

Connect LinkedIn Pages as a Catchr source. Add your existing MySQL 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 MySQL?

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 MySQL tables such as accounts, profiles, and posts.

How does Catchr process a large LinkedIn Pages backfill into MySQL?

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 MySQL?

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 MySQL?

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

Does my MySQL database need to exist before I connect it?

Yes. Connect an existing MySQL 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 MySQL 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. 

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