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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.
You can trigger this flow by sending a POST
request with a file using curl, Postman, or from another n8n flow.
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.
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
.
file
)https://api.parquetreader.com/parquet
as multipart/form-data
(field name: file
){
"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" }
]
}