LinkedIn Pages to PlanetScale Integration

How Datrise loads LinkedIn Pages into PlanetScale

Datrise syncs LinkedIn Pages's posts, followers, page statistics, impressions, engagement metrics, and follower demographics into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

LinkedIn Pages: Organic company page content and follower analytics.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How LinkedIn Pages entities map to PlanetScale

LinkedIn Pages entity	PlanetScale object	Notes
posts	`linkedin_pages_posts`	id PK · custom fields → JSON columns
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 PlanetScale?

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

How does the LinkedIn Pages to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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