Apify to Spreadsheets Integration
AI-first ETL from Apify into Spreadsheets. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apify into Spreadsheets
Datrise syncs Apify's actors, runs, datasets, key-value stores, request queues, and run logs into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.
Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.
Ideal for lightweight, shareable reporting for non-technical teams.
Endpoints
Apify: Web scraping and browser automation platform.
Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.
How Apify entities map to Spreadsheets
| Apify entity | Spreadsheets object | Notes |
|---|---|---|
| actors | apify_actors | id PK · custom fields → JSON-stringified cells for nested fields |
| 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 Spreadsheets?
Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.
How does the Apify to Spreadsheets sync stay up to date?
It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.
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Early access
Connect Apify to Spreadsheets the easy way
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