Convert Parquet, Feather, ORC & Avro Files with ParquetReader

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Built by ParquetReader ParquetReader
Created on June 05, 2026

Description

πŸ“„ Convert Parquet, Feather, ORC & Avro Files with ParquetReader

This workflow allows you to upload and inspect Parquet, Feather, ORC, or Avro files via the ParquetReader API. It instantly returns a structured JSON preview of your data β€” including rows, schema, and metadata β€” without needing to write any custom code.

βœ… Perfect For
Validating schema and structure before syncing or transformation
Previewing raw columnar files on the fly
Automating QA, ETL, or CI/CD workflows
Converting Parquet, Avro, Feather, or ORC to JSON

βš™οΈ Use Cases
Catch schema mismatches before pipeline runs
Automate column audits in incoming data files
Enrich metadata catalogs with real-time schema detection
Integrate file validation into automated workflows

πŸš€ How to Use This Workflow

πŸ“₯ Trigger via File Upload

You can trigger this flow by sending a POST request with a file using curl, Postman, or from another n8n flow.

πŸ”§ Example (via curl):
curl -X POST http://localhost:5678/webhook-test/convert \
-F "[email protected]"
> Replace converted.parquet with your local file path. You can also send Avro, ORC or Feather files.

πŸ” Reuse from Other Flows
You can reuse this flow by calling the webhook from another n8n workflow using an HTTP Request node.
Make sure to send the file as form-data with the field name file.

πŸ” What This Flow Does:
Receives the uploaded file via webhook (file)
Sends it to https://api.parquetreader.com/parquet as multipart/form-data (field name: file)
Receives parsed data (rows), schema, and metadata in JSON format

πŸ§ͺ Example JSON Response from this flow
{
"data": [
{
"full_name": "Pamela Cabrera",
"email": "[email protected]",
"age": "24",
"active": "True",
"latitude": "-36.1577385",
"longitude": "63.014954",
"company": "Carter, Shaw and Parks",
"country": "Honduras"
}
],
"meta_data": {
"created_by": "pyarrow",
"num_columns": 21,
"num_rows": 10,
"serialized_size": 7598,
"format_version": "0.12"
},
"schema": [
{ "column_name": "full_name", "column_type": "string" },
{ "column_name": "email", "column_type": "string" },
{ "column_name": "age", "column_type": "int64" },
{ "column_name": "active", "column_type": "bool" },
{ "column_name": "latitude", "column_type": "double" },
{ "column_name": "longitude", "column_type": "double" },
{ "column_name": "company", "column_type": "string" },
{ "column_name": "country", "column_type": "string" }
]
}

πŸ” API Info
Authentication: None required
Supported formats: .parquet, .avro, .orc, .feather
Free usage: No signup needed; API is currently open to the public
Limits: Usage and file size limits may apply in the future (TBD)

This workflow was created by ParquetReader and shared publicly on the n8n community template library. n8nFind indexes it for discovery — the workflow remains the property of its original creator.

Nodes Used (2)

Code
n8n-nodes-base.code
HTTP Request
n8n-nodes-base.httpRequest