LinkedIn Pages logo LINKEDIN PAGES BigQuery logo BIGQUERY

Connect LinkedIn Pages to BigQuery .
100% no-code.

The AI-native connector for marketers, not engineers.

  • ✓

    Prompt your queries and custom fields in natural language

  • ✓

    Auto-blend LinkedIn Pages with 20+ sources

  • ✓

    Create, preview, and publish in 15 minutes

  • ✓

    14-day free trial + free-forever plan

Book a demo

We’ll set up your first sync, free

14-day free trial

No credit card required

1,500+ marketing teams and agencies

Connect LinkedIn Pages to Google BigQuery

How It Works

1

Export LinkedIn Pages to BigQuery—or anywhere

Under one subscription, send LinkedIn Pages data to BigQuery, Looker Studio, Google Sheets, Slack, or Zapier. Build dashboards, reports, alerts, notifications, and AI workflows.

Select data sources interface
2

Connect multiple data sources

Select from 22 data sources: Google Ads, GA4, LinkedIn Ads, TikTok Ads, HubSpot, and more. Porter maps UTMs, campaign names, and performance metrics across channels automatically. No SQL joins.

Connect multiple data sources dashboard
3

Consolidate multiple LinkedIn Pages accounts

Connect multiple LinkedIn Company Pages you administer. Consolidate dozens of accounts across brands, regions, or clients into one BigQuery table. Built for agencies and enterprise teams at scale.

Select multiple LinkedIn Pages accounts interface
4

Manage your data sources

Name, duplicate, delete connections, accounts, queries, and custom fields to manage multiple clients, brands, campaigns, or regions.

Manage data sources dashboard
5

Three ways to connect to BigQuery

  • Google login: Sign in with Google and Porter auto-lists your BigQuery Project IDs. Select project, dataset location (US, EU, US-Central), name your dataset and table.

  • Service account (JSON): Upload your credentials. No Workspace admin approval needed.

  • New to BigQuery? Set up your first project automatically—no Google Cloud console, no billing, no technical setup. Create your report in Looker Studio directly.

BigQuery connection options interface
6

Build your query with AI in natural language

The AI-native query builder. Describe what you need. No SQL, no complex forms.

  • Cross-channel fields: Select metrics and dimensions from LinkedIn Pages and any data source. No data mapping or joins needed.

  • Custom fields: Use AI prompts to create custom metrics (e.g., blended ROAS, cost per lead) and dimensions (e.g., brand, region, creative hook). Segment data using naming conventions from campaigns, ad sets, or ads.

  • Filters: Include or exclude by any field. Combine with AND/OR logic.

  • Date ranges: Dynamic (Month-to-date, Last quarter) or fixed (custom start and end).

  • Schedule: Prompt refreshes like “Every day at 5am except weekends.” Freely schedule by hour, day, week, weekday, or month.

  • Refresh mode: Append (add rows), Update (match and refresh), or Overwrite (replace table).

  • Live preview: Preview your data before syncing to BigQuery. Catch errors before they cost you.

AI query builder interface with custom fields
7

Scale data refreshes in natural language

Schedule refreshes in minutes, not hours. Real-time API data or stored BigQuery data—switch between both in the same connection. Refresh as frequently as LinkedIn’s API allows. If you hit Meta’s rate limits, Porter automatically switches to BigQuery backups. Never blocked from accessing your data.

Schedule data refreshes interface in natural language
8

Monitor every LinkedIn Pages sync to BigQuery

Track all queries in the Query Manager: name, data sources, last run at a glance. Open execution history—timestamp, success or failure. Toggle pipelines on/off anytime. Fix issues before they reach your reports, team, or clients.

Query monitoring dashboard for LinkedIn Pages syncs

Why Marketers Choose Porter

Area
Other marketing ETL tools
Porter Metrics
Integrations
300+ general purpose
22 focused: Ads, CRM, Social, GA4, Commerce
Setup
Separate screens for queries, tables, joins, schemas, transfers
One flow: connect → prompt → preview → publish
Data model
Export raw datasets. Transform in BigQuery after.
Export finished queries. Connect table to report. Done.
No-code
No-code transfer, but SQL required in BigQuery to transform, join, or filter.
No-code from source to report. Zero SQL, zero BigQuery management.
Custom fields
Formula builders, functions, lookups, conditions
Prompt any metric or dimension in natural language
Data blending
SQL joins or configure data mapping
Auto-mapped: UTMs, campaign names, metrics
Scheduling
Fixed intervals. Faster rates on higher tiers.
Natural language. Any rate, any plan.
BigQuery auth
Google login or service account. Manual setup.
Google login, service account, or auto-create project
Refresh frequency
Hourly or daily depending on tier
Minutes. Real-time or storage.
Best for
Teams with devs, analysts, or ETL infrastructure
Marketers with no dev support

What LinkedIn Pages Data Can You Export

Access over 150 fields from LinkedIn Pages plus extra calculated metrics. Your data matches Ads Manager exactly.

+150 fields

Access every LinkedIn Page field—over 150 in total—including Impressions, Engagement Rate, Follower Growth, and professional audience demographics.

See all LinkedIn Pages fields documentation

All aggregations

Track engagement aggregations including reactions, comments, shares, and click-throughs. Break down by content type and audience professional segments.

Ad previews and creatives

Porter retrieves post thumbnails and document previews alongside performance data. Analyze which B2B content formats drive the most professional engagement.

Full granularity

Segment data by post type, content format, audience demographics (seniority, function, industry, company size), and time. Analyze B2B organic performance at any level of detail.

Organic metrics

LinkedIn Pages organic data focuses on engagement and reach metrics. Attribution tracking is available through LinkedIn Ads for paid campaigns.

Marketer-friendly naming

Fields named exactly as in Ads Manager. Campaigns, ad sets, and ads are familiar to marketers. Standardized for blending with PPC platforms, GA4, and CRM data.

Unlimited historical data

Access your entire LinkedIn Pages history without limitations. Porter stores all your historical data for trends and performance analysis over any time period.

Transparent accuracy

Your data matches Ads Manager exactly. Porter doesn’t manipulate or transform your data—what you see is exactly what Meta reports.

Revenue

Lead Value
Referral Revenue
Estimated Spend
Budget
ROI
Cost per Click
CPC

Conversions

Lead Form Comps
Registration Clicks
Website Visits
Document Downloads
Event Joins
CTA Clicks
Page Follows

Engagement

Likes
Comments
Shares
Reactions
CTR
Post Clicks
Mention Count

Visibility

Unique Impressions
Total Impressions
Reach
Page Views
Unique Visitors
Follower Growth
Viral Reach

Campaign

Post URN
Content Type
Caption
Status
Author ID
Share URN
Article URL

Creative

Image URL
Document URL
Video Length
Title
Alt Text
Creative Format
Post Media

Audience

Seniority
Function
Industry
Location
Company Size
Job Title
Country

Time

Date
Timestamp
Week
Month
Quarter
Year
Fiscal Year

Custom

Organization ID
Post ID
Member URN
Asset URN
Admin Status
Comment ID
Share ID
See all fields

Complete field documentation

Why Marketers Move LinkedIn Pages Data to BigQuery

Faster Looker Studio reports

Direct connectors take 10+ seconds to load, time out, and break. BigQuery loads in 2 seconds, every time. No more broken dashboards before client calls.

Data blending

Combine LinkedIn Pages with CRM, GA4, Shopify, Google Ads in one warehouse. Measure real profit, not platform ROAS. Calculate blended CAC across all channels.

Connect BigQuery to any BI tool

Connect to Looker Studio for instant dashboards. Or plug into Power BI, Tableau, any BI tool. Unlock multi-touch attribution with raw GA4 data.

Multi-touch attribution

Join LinkedIn Pages with raw GA4 event data. Trace the full user path from ad click to conversion.

Source of truth

Define what “conversion” means for your company. Compare Meta vs. GA4 vs. HubSpot. Pick one source for CAC, ROAS, and CPA. End the “which number is right” debate.

Company-wide access without platform permissions

Managing permissions across platforms is a pain. With BigQuery, anyone can access marketing data without accounts or roles in each platform. One permission model, all data.

Make data available for AI

AI needs clean, structured data with context. Every AI tool feels siloed. Integrating sources is complicated. With BigQuery as your universal warehouse, any AI tool can access your marketing data. No custom integrations. No complicated setup.

Scale across accounts, clients, and brands

Reports break when you connect too many accounts. BigQuery has no limits. Agencies with dozens of clients, franchises with dozens of LinkedIn Pages accounts, chains with multiple brands and locations—consolidate everything into one table. One report, one connection.

LinkedIn Pages Templates for BigQuery + Looker Studio

Porter has the most complete Looker Studio template gallery for LinkedIn Pages .

All Looker Studio templates are compatible with BigQuery tables created in Porter.

Content performance dashboard

Content performance dashboard

Get this template for free

LinkedIn pages audience dashboard

LinkedIn pages audience dashboard

Get this template for free

Community manager dashboard

Community manager dashboard

Get this template for free

Testimonials

Frequently Asked Questions

How does the free trial work? +

Full proof of concept. Includes tool access, support, and migration assistance. No day limit—ends when you validate Porter meets your needs.

How much does Porter cost? +

Start with a 14-day free trial with full access. Free-forever plan available: up to 3 ad accounts, unlimited reports, 30-day historical data. For larger implementations, pricing starts at $500-$1,000/month based on support needed. Get a quote on a call.

Can I cancel anytime? +

Yes. Monthly or annual billing (2 months free with annual). Cancel anytime, no paperwork, immediate cancellation.

How much does BigQuery cost? +

Most clients operate within Google’s free tier. High-volume clients: $20-$30/month. See Google BigQuery pricing for details.

Can I use my own BigQuery or does Porter manage it? +

Both. Use your own project or Porter manages one for you. Your data is always yours.

How fresh is the data? +

Automatic refresh every 12 hours by default. Configurable to hours or minutes depending on LinkedIn’s API limits. Direct API access available for real-time data.

Are there limits on rows, queries, or accounts? +

Porter has no limits. Limits depend on BigQuery and Meta.

Do you help migrate from another provider? +

Yes. 100% assisted migration by implementation and development team. Typical time: within the same week.

What support is included? +

Direct Slack access to support team, developers, and founders. Chat, scheduled video calls, email. Response in minutes or hours (Americas timezone).

How do you handle security? +

Google-only login (OAuth 2.0). No passwords stored. Data goes directly to your BigQuery.

Security

  • Google-only login (OAuth 2.0). No passwords to create or store.

  • Your existing Google security applies: 2FA, suspicious login detection, session management.

  • One identity for BigQuery, Looker Studio, Sheets, and Porter.

Ready to connect LinkedIn Pages to BigQuery?

We’ll set up your first sync, free

14 days, no credit card required

Automate marketing reporting and analysis with AI like it's 2026.

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