Connector

Collect LinkedIn Pages Data into Google BigQuery

Own your LinkedIn Pages data in Google BigQuery with OWOX Data Marts. Collect analytics-ready page metrics and insights directly into BigQuery, control schema and refresh logic, and reuse the data across BI tools and AI Insights.

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Endpoints

LinkedIn Pages endpoints

Documentation

2 LinkedIn Pages endpoints you can import. Each lands in its own table in your warehouse.

  • Follower Statistics

    Lifetime follower counts broken down by segment — seniority, industry, function, geography, and association type.

    6 fields

  • Time-Bound Follower Statistics

    Daily follower gains broken down by organic and paid — tracks how your audience grows over time.

    12 fieldsTime series

S01 · Step 1

Step 1: Create a Google BigQuery Data Storage

Start by connecting your own Google BigQuery project as a data storage.

  • Use your own BigQuery project and datasets
  • Keep full ownership of LinkedIn Pages data
  • No third-party data warehouses

Connect BigQuery

Step 1: Create a Google BigQuery Data Storage

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
  • Connect your LinkedIn organization pages
  • No API coding or engineering required

Create Linkedin Data Mart

Step 2: Create a LinkedIn Pages Data Mart

S03 · Step 3

Step 3: Select Fields & Configure Data Import

Choose exactly which LinkedIn Pages data you want to store in BigQuery.

  • Select the appropriate LinkedIn Pages API endpoint
  • Choose fields such as page views, follower metrics, impressions, and engagement
  • Define the destination dataset and table name in BigQuery

Configure Data Import

Step 3: Select Fields & Configure Data Import

S04 · Step 4

Step 4: Run & Schedule LinkedIn Pages Data Collection

Once published, control how and when LinkedIn Pages data is imported.

  • Incremental load to import the current day’s data
  • Backfill (custom period) to load historical data
  • All runs are logged and visible in Run History

Run Data Mart

Step 4: Run & Schedule LinkedIn Pages Data Collection

S05 · Step 5

Step 5: Use LinkedIn Pages Data Across BI Tools & AI Insights

Your LinkedIn Pages data is now available in Google BigQuery.

  • Analyze data in Google Sheets or Looker Studio
  • Combine page performance with ads, GA4, or CRM data
  • Enable AI Insights to ask questions or receive alerts

Activate Your Data

Step 5: Use LinkedIn Pages Data Across BI Tools & AI Insights

What users are saying

Every claim has a receipt.

Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.

A3re: trusting AI
Nodari RizunNodari 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.”
C9re: one source of truth
Mark SimmonsMark SimmonsCMO, Pürblack®
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
E7re: getting time back
Nodari RizunNodari RizunFounder & CEO, Pürblack®
“We regained time. And time is the one resource that never comes back.”

Turn LinkedIn Pages Data into Business Decisions

Schedule a quick walkthrough to see how OWOX Data Marts helps you collect LinkedIn Pages data in BigQuery, reduce reporting chaos, and scale analytics with confidence.

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