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+---
+title: "Data processing & ETL workflows"
+sidebarTitle: "Data processing & ETL"
+description: "Learn how to use Trigger.dev for data processing and ETL (Extract, Transform, Load), including web scraping, database synchronization, batch enrichment and more."
+---
+
+import UseCasesCards from "/snippets/use-cases-cards.mdx";
+
+## Overview
+
+Build complex data pipelines that process large datasets without timeouts. Handle streaming analytics, batch enrichment, web scraping, database sync, and file processing with automatic retries and progress tracking.
+
+## Featured examples
+
+<CardGroup cols={3}>
+  <Card
+    title="Realtime CSV importer"
+    icon="book"
+    href="/guides/example-projects/realtime-csv-importer"
+  >
+    Import CSV files with progress streamed live to frontend.
+  </Card>
+  <Card title="Web scraper with BrowserBase" icon="book" href="/guides/examples/scrape-hacker-news">
+    Scrape websites using BrowserBase and Puppeteer.
+  </Card>
+  <Card
+    title="Supabase database webhooks"
+    icon="book"
+    href="/guides/frameworks/supabase-edge-functions-database-webhooks"
+  >
+    Trigger tasks from Supabase database webhooks.
+  </Card>
+</CardGroup>
+
+## Benefits of using Trigger.dev for data processing & ETL workflows
+
+**Process datasets for hours without timeouts:** Handle multi-hour transformations, large file processing, or complete database exports. No execution time limits.
+
+**Parallel processing with built-in rate limiting:** Process thousands of records simultaneously while respecting API rate limits. Scale efficiently without overwhelming downstream services.
+
+**Stream progress to your users in real-time:** Show row-by-row processing status updating live in your dashboard. Users see exactly where processing is and how long remains.
+
+## Production use cases
+
+<CardGroup cols={1}>
+  <Card title="MagicSchool AI customer story" href="https://trigger.dev/customers/magicschool-ai-customer-story">
+
+Read how MagicSchool AI uses Trigger.dev to generate insights from millions of student interactions.
+
+</Card>
+
+<Card title="Comp AI customer story" href="https://trigger.dev/customers/comp-ai-customer-story">
+
+Read how Comp AI uses Trigger.dev to automate evidence collection at scale, powering their open source, AI-driven compliance platform.
+
+</Card>
+<Card title="Midday customer story" href="https://trigger.dev/customers/midday-customer-story">
+
+Read how Midday use Trigger.dev to sync large volumes of bank transactions in their financial management platform.
+
+</Card>
+</CardGroup>
+
+## Example workflow patterns
+
+<Tabs>
+  <Tab title="CSV file import">
+    Simple CSV import pipeline. Receives file upload, parses CSV rows, validates data, imports to database with progress tracking.
+
+<div align="center">
+
+```mermaid
+graph TB
+    A[importCSV] --> B[parseCSVFile]
+    B --> C[validateRows]
+    C --> D[bulkInsertToDB]
+    D --> E[notifyCompletion]
+```
+
+</div>
+  </Tab>
+
+  <Tab title="Multi-source ETL pipeline">
+    **Coordinator pattern with parallel extraction**. Batch triggers parallel extraction from multiple sources (APIs, databases, S3), transforms and validates data, loads to data warehouse with monitoring.
+
+<div align="center">
+
+```mermaid
+graph TB
+    A[runETLPipeline] --> B[coordinateExtraction]
+    B --> C[batchTriggerAndWait]
+
+    C --> D[extractFromAPI]
+    C --> E[extractFromDatabase]
+    C --> F[extractFromS3]
+
+    D --> G[transformData]
+    E --> G
+    F --> G
+
+    G --> H[validateData]
+    H --> I[loadToWarehouse]
+```
+
+</div>
+  </Tab>
+
+  <Tab title="Parallel web scraping">
+    **Coordinator pattern with browser automation**. Launches headless browsers in parallel to scrape multiple pages, extracts structured data, cleans and normalizes content, stores in database.
+
+<div align="center">
+
+```mermaid
+graph TB
+    A[scrapeSite] --> B[coordinateScraping]
+    B --> C[batchTriggerAndWait]
+
+    C --> D[scrapePage1]
+    C --> E[scrapePage2]
+    C --> F[scrapePageN]
+
+    D --> G[cleanData]
+    E --> G
+    F --> G
+
+    G --> H[normalizeData]
+    H --> I[storeInDatabase]
+```
+
+</div>
+  </Tab>
+
+  <Tab title="Batch data enrichment">
+    **Coordinator pattern with rate limiting**. Fetches records needing enrichment, batch triggers parallel API calls with configurable concurrency to respect rate limits, validates enriched data, updates database.
+
+<div align="center">
+
+```mermaid
+graph TB
+    A[enrichRecords] --> B[fetchRecordsToEnrich]
+    B --> C[coordinateEnrichment]
+    C --> D[batchTriggerAndWait]
+
+    D --> E[enrichRecord1]
+    D --> F[enrichRecord2]
+    D --> G[enrichRecordN]
+
+    E --> H[validateEnrichedData]
+    F --> H
+    G --> H
+
+    H --> I[updateDatabase]
+```
+
+</div>
+  </Tab>
+</Tabs>
+
+<UseCasesCards />