CoinGecko to CSV Files Integration
AI-first ETL from CoinGecko into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinGecko into CSV Files
Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history 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
CoinGecko: Cryptocurrency prices and market data.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How CoinGecko entities map to CSV Files
| CoinGecko entity | CSV Files object | Notes |
|---|---|---|
| coins | coingecko_coins_coins | id PK · custom fields → JSON-encoded strings for nested fields |
| market prices | coingecko_coins_market_prices | id PK · linked to coingecko_coins_coins |
| market caps | coingecko_coins_market_caps | id PK · linked to coingecko_coins_coins |
| trading volumes | coingecko_coins_trading_volumes | id PK · linked to coingecko_coins_coins |
FAQ
How does Datrise handle CoinGecko'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 CoinGecko to CSV Files sync stay up to date?
It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.
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Early access
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