Appfollow to Looker Studio Integration

How Datrise loads Appfollow into Looker Studio

Datrise syncs Appfollow's reviews, ratings, app rankings, keywords, replies, and store listings into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Appfollow: App store review and rankings monitoring.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Appfollow entities map to Looker Studio

Appfollow entity	Looker Studio object	Notes
reviews	`appfollow_reviews`	id PK · custom fields → flattened columns for chart fields
ratings	`appfollow_ratings`	id PK · linked to appfollow_reviews
app rankings	`appfollow_app_rankings`	id PK · linked to appfollow_reviews
keywords	`appfollow_keywords`	id PK · linked to appfollow_reviews

FAQ

How does Datrise handle Appfollow's custom fields in Looker Studio?

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

How does the Appfollow to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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