Amazon Ads to CSV Files Integration
AI-first ETL from Amazon Ads into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amazon Ads into CSV Files
Datrise syncs Amazon Ads's campaigns, ad groups, keywords, spend, impressions, and attributed sales 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
Amazon Ads: Sponsored ads across Amazon retail placements.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Amazon Ads entities map to CSV Files
| Amazon Ads entity | CSV Files object | Notes |
|---|---|---|
| campaigns | amazon_ads_campaigns | id PK · custom fields → JSON-encoded strings for nested fields |
| ad groups | amazon_ads_ad_groups | id PK · linked to amazon_ads_campaigns |
| keywords | amazon_ads_keywords | id PK · linked to amazon_ads_campaigns |
| spend | amazon_ads_spend | id PK · linked to amazon_ads_campaigns |
FAQ
How does Datrise handle Amazon 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 Amazon 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 Amazon Ads
More sources for CSV Files
Early access
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