DatriseAI-first ETL

CoinGecko to Spreadsheets Integration

AI-first ETL from CoinGecko into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads CoinGecko into Spreadsheets

Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

CoinGecko: Cryptocurrency prices and market data.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How CoinGecko entities map to Spreadsheets

CoinGecko entitySpreadsheets objectNotes
coinscoingecko_coins_coinsid PK · custom fields → JSON-stringified cells for nested fields
market pricescoingecko_coins_market_pricesid PK · linked to coingecko_coins_coins
market capscoingecko_coins_market_capsid PK · linked to coingecko_coins_coins
trading volumescoingecko_coins_trading_volumesid PK · linked to coingecko_coins_coins

FAQ

How does Datrise handle CoinGecko's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the CoinGecko to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

Connect CoinGecko to Spreadsheets the easy way

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