Supermetrics for BigQuery
Connect LinkedIn Pages to BigQuery — B2B Organic Social at Warehouse Scale
Warehouse your LinkedIn Pages post performance, follower demographics, and page analytics in BigQuery for B2B content strategy and audience analysis.
Why Connect LinkedIn Pages to BigQuery?
Warehouse your LinkedIn Pages data in BigQuery for unlimited historical analysis and cross-source SQL.
B2B audience intelligence
Analyze follower demographics by industry, seniority, and company size for B2B content targeting.
Content performance tracking
Track engagement rates and click-through by post type and topic over unlimited date ranges.
Organic vs paid LinkedIn
JOIN LinkedIn Pages data with LinkedIn Ads for unified LinkedIn channel performance analysis.
How to Connect LinkedIn Pages to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
LinkedIn Pages Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your LinkedIn Pages data looks like in BigQuery.
Data Freshness & Scheduling
LinkedIn Pages data typically available within 4-6 hours. Daily transfers recommended.
What LinkedIn Pages Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full LinkedIn Pages reporting data — metrics and dimensions you already know from the LinkedIn Pages interface.
Key Metrics
- Page impressions
- Page clicks
- Page likes
- Page comments
- Page shares
- Page engagement rate
- Follower count
- Followers gained (organic)
- Followers gained (paid)
- Page views
- Unique page views
- Video views
Key Dimensions
- Update title
- Update share comment
- Update visibility
- Follower country
- Follower industry
- Follower seniority
- Follower company size
- Follower function
- Profile
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated LinkedIn Pages records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much LinkedIn Pages data as you need without worrying about cost spikes.
Historical Depth
Access your full LinkedIn Pages history — months or years of engagement data, follower growth, and content performance. No artificial date range restrictions.
Frequently Asked Questions
How do I connect LinkedIn Pages to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select LinkedIn Pages as the source and BigQuery as the destination. Authorize your LinkedIn Pages account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my LinkedIn Pages data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All LinkedIn Pages credentials are encrypted at rest and in transit. Data flows directly from the LinkedIn Pages API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine LinkedIn Pages data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once LinkedIn Pages lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What LinkedIn Pages metrics and dimensions are available in BigQuery?
All standard LinkedIn Pages reporting fields are available, including Page impressions, Page clicks, Page likes, Page comments, Page shares, Page engagement rate, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is LinkedIn Pages data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Does it include follower demographics?
Yes. Industry, seniority, company size, function, and country are available for follower analysis.
Can I track organic vs paid follower growth?
Yes. Followers gained organically and through paid promotion are available as separate metrics.
Also Connect to BigQuery
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