🔄 Data Pipelines & ETL

2239 templates — Build automated data pipelines — sync databases, transform data between services, aggregate from multiple sources, and feed data warehouses.

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Data Pipeline & ETL Automation with n8n

Data pipeline automation moves data between systems on a schedule or in real time — no custom scripts required. ETL workflows built in n8n can extract from APIs, databases, spreadsheets, or file uploads; transform records with JavaScript or AI; and load them into a data warehouse, analytics platform, or reporting tool. Unlike standalone ETL tools, n8n workflows can also act on what the pipeline finds: send alerts, trigger downstream processes, or update other systems based on the data.

This collection has 2,239 templates for data teams and automation engineers: API-to-database sync workflows, Google Sheets aggregation pipelines, Airtable transformation workflows, and multi-source data consolidation patterns.

Common Workflow Patterns

• API-to-database sync — pull data from any REST API (CRM, SaaS tool, analytics platform) on a schedule and insert or upsert records into Postgres, MySQL, or Supabase
• Multi-source aggregation — combine data from several APIs into a single Google Sheet or Airtable base, deduplicated and normalized by the workflow logic
• Data transformation pipelines — clean, reformat, and enrich raw data before loading it elsewhere — currency conversion, date normalization, field mapping, AI classification
• Real-time event-driven pipelines — trigger data sync on a webhook event so your systems stay in sync within seconds of a change, not the next scheduled run

Getting Started

Browse the templates below. Most data pipeline templates use the HTTP Request or Google Sheets node as the source. See also: Engineering for developer-focused database integration patterns.

📋 Templates