Meta Ads → CSV Files
AI-first ETL from Meta Ads into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into CSV Files
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.
Ideal for portable hand-off into any tool that ingests delimited files.
Endpoints
Meta Ads: Facebook and Instagram ad source for spend and engagement.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Meta Ads entities map to CSV Files
| Meta Ads entity | CSV Files object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → JSON-encoded strings for nested fields |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta Ads's custom fields in CSV Files?
Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.
How does the Meta Ads to CSV Files sync stay up to date?
It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.
Related pipelines
More destinations for Meta Ads
Early access
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