Apify to Holistics Integration
AI-first ETL from Apify into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apify into Holistics
Datrise syncs Apify's actors, runs, datasets, key-value stores, request queues, and run logs into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Apify: Web scraping and browser automation platform.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Apify entities map to Holistics
| Apify entity | Holistics object | Notes |
|---|---|---|
| actors | apify_actors | id PK · custom fields → flattened columns for the modeling layer |
| runs | apify_runs | id PK · linked to apify_actors |
| datasets | apify_datasets | id PK · linked to apify_actors |
| key-value stores | apify_key_value_stores | id PK · linked to apify_actors |
FAQ
How does Datrise handle Apify's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Apify to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Apify
More sources for Holistics
Early access
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