Connector
Collect LinkedIn Pages Data into Databricks
Own your LinkedIn Pages data in Databricks with OWOX Data Marts. Collect page metrics, follower insights, and engagement data into Databricks, control schema and refresh logic, and reuse the data across BI tools and AI Insights.
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Connector downloads
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open-source connector installs via npm
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the platform is open source — star it, fork it, self-host it
S01 · Step 1
Step 1: Create a Databricks Data Storage
Start by connecting Databricks as your data storage in OWOX Data Marts.
- Provide the Databricks Workspace URL
- Specify the HTTP Path for your SQL Warehouse
- Add a Personal Access Token for Databricks authentication
S02 · Step 2
Step 2: Create a LinkedIn Pages Data Mart
Create a new Data Mart and choose Connector as the definition type.
- Select LinkedIn Pages as the data source
- Authorize access to your LinkedIn organization pages
- No API coding or engineering required
S03 · Step 3
Step 3: Select Fields & Configure Data Import
Choose exactly which LinkedIn Pages data you want to land in Databricks.
- Select the required LinkedIn Pages API endpoint
- Choose fields such as page views, followers, impressions, reactions, and engagement metrics
- Define destination schema and table settings, or keep defaults
S04 · Step 4
Step 4: Run & Schedule LinkedIn Pages Data Collection
Once published, control how LinkedIn Pages data is imported.
- Incremental load for the latest page activity
- Backfill (custom period) for historical LinkedIn Pages data
- Monitor execution in Run History
S05 · Step 5
Step 5: Use LinkedIn Pages Data Across BI Tools & AI Insights
Your LinkedIn Pages data is now available through Databricks.
- Analyze audience growth and engagement in Google Sheets or Looker Studio
- Join LinkedIn Pages data with ads, GA4, or CRM datasets
- Enable AI Insights for page performance summaries and alerts
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