LinkedIn Pages to BigQuery connector
€100/month
Sync your LinkedIn Pages follower and post statistics into BigQuery with Kaivo to track organic social performance alongside the rest of your data.
What gets synced
Kaivo syncs 4+ LinkedIn Pages tables, including follower_statistics, organization_lookup, share_statistics, total_follower_count, into your BigQuery warehouse.
See all LinkedIn Pages tablesWhat you can do with LinkedIn Pages data
Follower growth
Use follower_statistics and total_follower_count to track audience growth over time.
Post engagement
Analyse share_statistics to see which posts earn the most engagement.
Organic and paid together
Combine Pages data with LinkedIn Ads in BigQuery for a full social view.
Content trends
Report on engagement over time to find what content resonates.
Use your LinkedIn Pages data in your AI and BI tools
Once your LinkedIn Pages data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools like Claude or any BI tool that connects to BigQuery. Here is how the most common tools work with LinkedIn Pages data.
Analyze LinkedIn Pages data with Claude
Once your LinkedIn Pages data is in BigQuery you can ask Claude questions about it and get reports and summaries in plain language.
LinkedIn Pages data in Power BI
Connect your LinkedIn Pages data in BigQuery to Power BI and build live dashboards that refresh automatically.
LinkedIn Pages data in Data Studio
Connect your LinkedIn Pages data in BigQuery to Data Studio and build shareable reports that stay up to date.
LinkedIn Pages data in Tableau
Connect your LinkedIn Pages data in BigQuery to Tableau and explore it with interactive visualizations.
LinkedIn Pages data in Google Sheets
Pull your LinkedIn Pages data from BigQuery into Google Sheets for quick analysis and shared reporting.
LinkedIn Pages data in Excel
Pull your LinkedIn Pages data from BigQuery into Excel for quick analysis and reporting.
Start analyzing your LinkedIn Pages data in three easy steps
Connect your LinkedIn Pages account
Connecting to LinkedIn Pages or any of our other 500+ ready-made data sources is quick and doesn't require deep technical knowledge.
Select the data you want to fetch
The tables and columns you select will be stored securely in a fully managed BigQuery data warehouse.
Analyze with your data tool
Plug in your favorite data tool and start analyzing. All the data you selected will be available in an easy-to-use format.
Why get your data connectors from Kaivo
Access all the data you need
Bring together data from your marketing, finance, HR, CRM, and other systems. Select from our 500+ ready-made data connectors or ask for custom connectors.
Use the data tool of your choice
Analyze data and build reports with your favorite tools. No need to learn a new and complicated tool.
Data warehouse included
All Kaivo plans include a fully managed BigQuery warehouse. Get all the benefits of a data warehouse without any of the hassle.
Data always up to date
Schedule automatic data syncs to run as frequently as you need and your reports will always have the latest numbers.
No need to worry about maintenance
Tools, APIs, and databases change, but we keep your data pipelines working and connectors updated.
Data is cleaned and ready for reporting
Raw data from source systems can be hard to use for analytics or reports. Kaivo automatically cleans all data and makes it easy to use.
Data-driven companies sync their data with Kaivo
Answers to your questions
Yes. Kaivo syncs your LinkedIn Pages data into a managed Google BigQuery warehouse and keeps it up to date automatically.
Kaivo syncs 4+ LinkedIn Pages tables, including follower_statistics, organization_lookup, share_statistics, total_follower_count.
Kaivo keeps your LinkedIn Pages data up to date with automatic syncs that you can schedule as often as you need.
No. Kaivo is fully managed, so you can connect LinkedIn Pages and start analyzing without building or maintaining any data pipelines.
The LinkedIn Pages connector is €100 per month plus the Kaivo platform fee. See the pricing page for platform fee details and trial terms.
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