LinkedIn Pages to Metabase Integration
AI-first ETL from LinkedIn Pages into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Pages into Metabase
Datrise syncs LinkedIn Pages's posts, followers, page statistics, impressions, engagement metrics, and follower demographics into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
LinkedIn Pages: Organic company page content and follower analytics.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How LinkedIn Pages entities map to Metabase
| LinkedIn Pages entity | Metabase object | Notes |
|---|---|---|
| posts | linkedin_pages_posts | id PK · custom fields → flattened columns for the question builder |
| followers | linkedin_pages_followers | id PK · linked to linkedin_pages_posts |
| page statistics | linkedin_pages_page_statistics | id PK · linked to linkedin_pages_posts |
| impressions | linkedin_pages_impressions | id PK · linked to linkedin_pages_posts |
FAQ
How does Datrise handle LinkedIn Pages's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the LinkedIn Pages to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for LinkedIn Pages
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