Instagram to PostgreSQL Integration

How Datrise loads Instagram into PostgreSQL

Datrise syncs Instagram's media posts, stories, comments, followers, reach metrics, and profile insights into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Instagram: Organic profile content and audience insights.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Instagram entities map to PostgreSQL

Instagram entity	PostgreSQL object	Notes
media posts	`instagram_media_posts`	id PK · custom fields → jsonb columns
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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Instagram to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect Instagram to PostgreSQL the easy way

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