Convert Parquet, Feather, ORC & Avro Files with ParquetReader

Description

📄 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 — including rows, schema, and metadata — without needing to write any custom code.

✅ 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

⚙️ 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

🚀 How to Use This Workflow

📥 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.

🔧 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.

🔁 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.

🔍 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

🧪 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" }
]
}

🔐 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)