RSS to CSV Files Integration
AI-first ETL from RSS into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into CSV Files
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories 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
RSS: Syndicated feed items from publishers and blogs.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How RSS entities map to CSV Files
| RSS entity | CSV Files object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → JSON-encoded strings for nested fields |
| titles | rss_titles | id PK · linked to rss_feed_items |
| links | rss_links | id PK · linked to rss_feed_items |
| publication dates | rss_publication_dates | id PK · linked to rss_feed_items |
FAQ
How does Datrise handle RSS'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 RSS 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 RSS
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