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.
LinkedIn Pages Endpoints
2 LinkedIn Pages endpoints you can import. Each lands in its own table in your warehouse.
Step 1: Create a Databricks Data Storage
Start by connecting Databricks as your 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
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
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
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
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 Data Studio
- Join LinkedIn Pages data with ads, GA4, or CRM datasets
- Enable AI Insights for page performance summaries and alerts
Every claim has a receipt.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Nodari RizunFounder & CEO, Pürblack®“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”
- 0.37.0Preview data no longer fails on out-of-range dates
- 0.35.0Current vendor API versions for the Criteo, LinkedIn, and Facebook connectors
- 0.33.0Calculated Fields in the Output Schema
- 0.32.0Data Last Updated Date for AWS Redshift, AWS Athena, Snowflake, and Databricks
- 0.32.0Google Ads, LinkedIn Ads, LinkedIn Pages, and Shopify connectors use supported API versions
Turn LinkedIn Pages Data into Business Decisions
Schedule a quick walkthrough to see how OWOX Data Marts helps you collect LinkedIn Pages data in Databricks, reduce reporting complexity, and scale analytics with confidence.
Get Started Free- Internal OWOX data as of 2026-10-02
- G2 reviews of OWOX
- npm installs stat
You are booked. The invitation is on its way to , with the calendar invite and the meeting link.