Effortless File Conversion with n8n: Parquet, Avro to JSON/CSV

Transform your data files instantly with this powerful n8n workflow that converts Parquet, Avro, ORC, Feather, and CSV files into searchable, downloadable formats. Whether you're processing large datasets or need quick file conversions, this automated solution eliminates manual data handling and provides instant access to your structured data.

What This Workflow Does

This comprehensive file conversion workflow streamlines your data processing pipeline through four key steps:

• File Upload Interface: Provides a hosted form trigger that accepts Parquet, Avro, ORC, Feather, and CSV files directly through your browser
• API Integration: Automatically sends uploaded files to the ParquetReader API for intelligent parsing and data extraction
• Advanced Search Capabilities: Implements full-text search functionality across all columns with SQL query support and multiple dialect options
• Data Export: Returns parsed data with complete schema information, metadata, and formatted search results

Use Cases

Perfect for automation engineers and SaaS operators who need to:

• Convert legacy data formats for modern analytics platforms
• Create searchable data APIs from static file uploads
• Integrate file conversion capabilities into existing n8n automation workflows
• Build data preview systems with pagination and sorting features
• Process uploaded datasets with custom SQL queries and filtering

Technical Details

This n8n workflow leverages essential automation nodes including Form Trigger for seamless file uploads, HTTP Request nodes for ParquetReader API integration, and Code nodes for data processing logic. The workflow supports API key authentication for full dataset access, with preview mode (50 rows) available without authentication. Advanced features include customizable search parameters, SQL dialect selection, pagination controls, and comprehensive metadata extraction.

Deploy this workflow to transform your file conversion processes and eliminate manual data handling bottlenecks in your automation pipeline.