Instagram to Metabase Integration
AI-first ETL from Instagram into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Instagram into Metabase
Datrise syncs Instagram's media posts, stories, comments, followers, reach metrics, and profile insights 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
Instagram: Organic profile content and audience insights.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Instagram entities map to Metabase
| Instagram entity | Metabase object | Notes |
|---|---|---|
| media posts | instagram_media_posts | id PK · custom fields → flattened columns for the question builder |
| stories | instagram_stories | id PK · linked to instagram_media_posts |
| comments | instagram_comments | id PK · linked to instagram_media_posts |
| followers | instagram_followers | id PK · linked to instagram_media_posts |
FAQ
How does Datrise handle Instagram'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 Instagram to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Instagram
Early access
Connect Instagram to Metabase the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.