DatriseAI-first ETL

Twitter/X Ads CSV Files

AI-first ETL from Twitter/X Ads into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads Twitter/X Ads into CSV Files

Datrise syncs Twitter/X Ads's campaign metrics, spend, engagement, and ad conversion performance 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

Twitter/X Ads: Ad performance source for X campaign analytics.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Twitter/X Ads entities map to CSV Files

Twitter/X Ads entityCSV Files objectNotes
campaign metricstwitter_x_ads_campaign_metricsid PK · custom fields → JSON-encoded strings for nested fields
spendtwitter_x_ads_spendid PK · linked to twitter_x_ads_campaign_metrics
engagementtwitter_x_ads_engagementid PK · linked to twitter_x_ads_campaign_metrics
ad conversion performancetwitter_x_ads_ad_conversion_performanceid PK · linked to twitter_x_ads_campaign_metrics

FAQ

How does Datrise handle Twitter/X 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 Twitter/X 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

Early access

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